Accepted Papers

22nd International Conference on Information and Knowledge Management (CIKM)
Burlingame, CA, USA. Oct 27 - Nov 1, 2013

• Paper ID 47, Graph-of-word and TW-IDF: New Approach to Ad Hoc IR, François Rousseau, Ecole Polytechnique; Michalis Vazirgiannis, Ecole Polytechnique
• Paper ID 66, Users Versus Models: What Observation Tells Us About Effectiveness Metrics, Alistair Moffat, The University of Melbourne; Paul Thomas, CSIRO; Falk Scholer, RMIT University
• Paper ID 75, Locality Sensitive Hashing for Scalable Structural Classification and Clustering of Web Documents, Christian Hachenberg, WeST institute; Thomas Gottron, WeST institute, University of Koblenz-Landau, Germany
• Paper ID 93, Map Search via a Factor Graph Model, Qi Zhang, Fudan University; Jihua Kang; Yeyun Gong; Xuanjing Huang, Fudan University
• Paper ID 118, A Heterogenous Automatic Feedback Semi-supervised Method for Image Reranking, Xin-Chao Xu; Xin-Shun Xu, Shandong University
• Paper ID 121, Community Question Topic Categorization via Hierarchical Kernelized Classification, Wen Chan, Fudan University; Weidong Yang, Fudan University; JInhui Tang, Nanjing University of Science and Technology; Jintao Du, Fudan University; Xiangdong Zhou, Fudan University; Wei Wang
• Paper ID 130, Robust Question Answering over the Web of Linked Data, Mohamed Yahya, Max Planck Institute for Infor; Klaus Berberich, Max-Planck-Institut Informatik; Shady Elbassuoni, American University of Beirut; Gerhard Weikum, MPI Saarbrocken, Germany
• Paper ID 139, A Phased Ranking Model for Question Answering, Rui Liu, CMU; Eric Nyberg
• Paper ID 168, Personalization of Web-search Using Short-term Browsing~Context, Yury Ustinovskiy, Yandex; Pavel Serdyukov, Yandex
• Paper ID 228, Penguins in Sweaters, or Serendipitous Entity Search on User-generated Content, Yelena Mejova, Yahoo! Research Barcelona; Mounia Lalmas, Yahoo; Ilaria Bordino, Yahoo! Research
• Paper ID 251, Models of Search Satisfaction for Individuals and Cohorts, Ahmed Hassan, Microsoft Research; Ryen White, Microsoft Research
• Paper ID 252, Characterizing the Relation between Query Sequences and User Satisfaction, Ahmed Hassan, Microsoft Research; Xiaolin Shi, Microsoft; Nick Craswell, Microsoft, USA Bill Ramsey, Microsoft
• Paper ID 255, Entity-Centric Document Filtering: Boosting Feature Mapping through Meta-Features, Mianwei Zhou, UIUC; Kevin Chang, University of Illinois, Urbana Champagne
• Paper ID 257, Supporting Exploratory People Search: A Study of Factor Transparency and User Control, Shuguang Han, University of Pittsburgh; Daqing He; Jiepu Jiang, University of Pittsburgh; Zhen Yue
• Paper ID 337, Is Top-k Sufficient for Ranking?, Yanyan Lan; Shuzi Niu; Jiafeng Guo; Xueqi Cheng, Chinese Academy of Sciences
• Paper ID 351, Selection Fusion in Semi-Structured Retrieval, Muhammad Norozi, NTNU; Paavo Arvola, University of Tampere
• Paper ID 369, Using Historical Click Data to Increase Interleaving Sensitivity, Eugene Kharitonov, Yandex; Craig Macdonald, Glasgow University; Pavel Serdyukov, Yandex; Iadh Ounis, Glasgow University
• Paper ID 410, Building Structures from Classifiers for Passage Reranking, Aliaksei Severyn, University of Trento; Massimo Nicosia, University of Trento; Alessandro Moschitti
• Paper ID 415, An Index for Efficient Semantic Full-Text Search, Hannah Bast, University of Freiburg; Bjorn Buchhold, University of Freiburg
• Paper ID 422, Interactive Collaborative Filtering, Xiaoxue Zhao, UCL; Weinan Zhang, UCL; Jun Wang, UCL
• Paper ID 431, On the Reliability and Intuitiveness of Aggregated Search Metrics, Ke Zhou, University of Glasgow; Mounia Lalmas, Yahoo; Tetsuya Sakai, Waseda university; Ronan Cummins, University of Greenwich; Joemon Jose, University of Glasgow
• Paper ID 491, Building Optimal Information Systems Automatically: Configuration Space Exploration for Biomedical Information Systems, Zi Yang, Carnegie Mellon University; Eric Nyberg
• Paper ID 504, Factors Affecting Aggregated Search Coherence and Search Behavior, Jaime Arguello, University of North Carolina at Chapel Hill, USA; Robert Capra, University of North Carolina; Wan-Ching Wu
• Paper ID 585, Unsupervised Identification of Synonymous Query Intent Templates for Attribute Intents, Yanen Li, University of Illinois; Paul Hsu, Microsoft Research, USA Chengxiang Zhai, University of Illinois at Urbana Champaign
• Paper ID 591, Building a large-scale corpus for Evaluating Event Detection on Twitter, Andrew McMinn, University of Glasgow; Yashar Moshfeghi, University of Glasgow; Joemon Jose, University of Glasgow
• Paper ID 603, How Fresh Do You Want Your Search Results?, Shiwen Cheng, UCR; Anastasios Arvanitis, UC Riverside; Vagelis Hristidis, University of California, Riverside
• Paper ID 648, Expertise Retrieval in Bibliographic Network: A Topic Dominance Learning Approach, Seyyed Hadi Hashemi, Sharif University of Technolog; Mahmood Neshati, Sharif University of Technology; Hamid Beigy, Sharif University of Technology
• Paper ID 656, Evaluating Aggregated Search Using Interleaving, Aleksandr Chuklin, ISLA, University of Amsterdam; Anne Schuth, ISLA, University of Amsterdam; Katja Hofmann, ISLA, University of Amsterdam; Pavel Serdyukov, Yandex; Maarten de Rijke, University of Amsterdam
• Paper ID 663, Load-Sensitive Selective Pruning for Distributed Search, Nicola Tonellotto, ISTI-CNR; Fabrizio Silvestri, ISTI-CNR; Raffaele Perego, ISTI-CNR; Daniele Broccolo, ISTI-CNR; Salvatore Orlando, University of Venice; Craig Macdonald, University of Glasgow; Iadh Ounis, Glasgow University
• Paper ID 668, Uncovering Collusive Spammers in Chinese Review Websites, Chang Xu, Nanyang Technological University; Jie Zhang, Nanyang Technological University; Kuiyu Chang, Nanyang Technological University
• Paper ID 671, Improving Pseudo-Relevance Feedback via Tweet Selection, Taiki Miyanishi, Kobe University; Kazuhiro Seki, Kobe University; Kuniaki Uehara, Kobe University
• Paper ID 709, Structured Positional Entity Language Model for Enterprise Entity Retrieval, Chunliang Lu, The Chinese University of Hong; Lidong Bing, The Chinese University of Hong Kong; Wai Lam, The Chinese University of Hong Kong
• Paper ID 721, TellMyRelevance! Predicting the Relevance of Web Search Results from Cursor Interactions, Maximilian Speicher, TU Chemnitz; Andreas Both, R&D, Unister GmbH; Martin Gaedke, TU Chemnitz
• Paper ID 732, Incorporating User Preferences into Click Models, Qianli Xing, Tsinghua University; Yiqun Liu
• Paper ID 815, Scientific Articles Recommendation, Yingming Li, Zhejiang University; Ming Yang; Zhongfei (Mark) Zhang
• Paper ID 822, Learning to Handle Negated Language in Medical Records Search, Nut Limsopatham, University of Glasgow; Craig Macdonald, University of Glasgow; Iadh Ounis, Glasgow University
• Paper ID 854, A Pattern-Based Selective Recrawling Approach for Object-Level Vertical Search, Yaqian Zhou, Fudan University; Qi Zhang, ; Xuanjing Huang, Fudan University; Lide Wu
• Paper ID 867, Towards Minimizing the Annotation Cost of Certified Text Classification, Mossaab Bagdouri, University of Maryland; William Webber, ; David David, David D. Lewis Consulting; Douglas Oard, University of Maryland
• Paper ID 874, On Sparsity and Drift for Effective Real-time Filtering in Microblogs, M-Dyaa Albakour, University of Glasgow; Craig Macdonald, University of Glasgow; Iadh Ounis, Glasgow University
• Paper ID 918, Rank-Energy Selective Query Forwarding in Distributed Search Systems, Amin Teymorian, Georgetown University; Ophir Frieder, Georgetown University; Marcus A. Maloof, Georgetown University
• Paper ID 932, Learning relatedness measures for entity linking, Diego Ceccarelli, ISTI CNR; Claudio Lucchese; Salvatore Orlando, University of Venice; Raffaele Perego, ISTI - CNR; salvatore Trani, ISTI-CNR
• Paper ID 934, Instant Foodie: Predicting Expert Ratings From Grassroots, Chenhao Tan, Cornell University; Ed Chi, Google; David Huffaker, Google Inc.; Gueorgi Kossinets, Google Inc.; Alex Smola, Yahoo! Research
• Paper ID 999, Supervised CRF Framework for Preference Aggregation, Maksims Volkovs, University of Toronto; Richard Zemel
• Paper ID 1048, Augmenting Web Search Surrogates with Images, Robert Capra, University of North Carolina; Jaime Arguello, University of North Carolina at Chapel Hill, USA; Falk Scholer, RMIT University
• Paper ID 1053, Gem-based Entity-Knowledge Maintenance , Bilyana Taneva, Max-Planck Institute; Gerhard Weikum, MPI Saarbrocken, Germany
• Paper ID 1061, User Intent and Assessor Disagreement in Web Search Evaluation, Gabriella Kazai, Microsoft Research; Emine Yilmaz, UCL; Nick Craswell, Microsoft, USA; S.M.M. Tahaghoghi, Microsoft
• Paper ID 1076, Robust Models of Mouse Movement on Dynamic Web Search Results Pages, Fernando Diaz, Microsoft, US; Ryen White, Microsoft Research; Dan Liebling, Microsoft; Georg Buscher, Microsoft
• Paper ID 1116, Probabilistic Solutions of Influence Propagation on Networks, Miao Zhang, University of Texas at Arlingt; Chris Ding, University of Texas at Arlington
• Paper ID 1176, Improving Passage Ranking with User Behavior Information, Weize Kong, University of Massachusetts; Elif Aktolga, University of Massachusetts Amherst; James Allan, University of Massachusetts, Amherst
• Paper ID 1185, CQARank: Jointly Model Topics and Expertise in Community Question Answering, Liu Yang, Peking University; Minghui Qiu, Singapore Management University; Swapna Gottipati,Singapore Management University; Feida Zhu, Singapore Management University; Jing Jiang, Singapore Management University; Huiping Sun, Peking University; Zhong Chen, Peking University
• Paper ID 1212, On Segmentation of eCommerce Queries, Nish Parikh, Ebay research labs; Prasad Sriram, eBay Search; Mohammad Hasan, IUPUI

• Paper ID 13, Disinformation Techniques for Entity Resolution, Steven Whang, Stanford University; Hector Garcia-Molina, Stanford University
• Paper ID 72, Location Recommendation for Out-of-Town Users in Location-Based Social Networks, Gregory Ference, Pennsylvania State University; Mao Ye, ; Wang-Chien Lee, Penn State University
• Paper ID 84, Short text classification by detecting information path, Shitao Zhang, Tsinghua University; Xiaoming Jin; Dou Shen, ; Xuetao Ding; Xiaochen Zhang
• Paper ID 96, Personalized Point-of-Interest Recommendation by Mining Users' Preference Transition, Xin Liu, EPFL; Yong Liu, Nanyang Technological University; Karl Aberer, EPFL; Chunyan Miao, Nanyang Technological University
• Paper ID 212, Proximity$^2$-aware Ranking for Textual, Temporal, and Geographic Queries , Jannik Strotgen, Heidelberg University; Michael Gertz, Heidelberg University
• Paper ID 213, Timely crawling of high-quality ephemeral new content, Damien Lefortier, Yandex; Liudmila Ostroumova, Yandex; Egor Samosvat, Yandex; Pavel Serdyukov, Yandex
• Paper ID 220, Building User Profiles from Topic Models for Personalised Search, Morgan Harvey, University of Lugano; Fabio Crestani, Universita della Svizzera Italiana, CH; Mark Carman, Monash University
• Paper ID 225, Where Shall We Go Today? Planning Touristic Tours with TripBuilder, Chiara Renso, CNR; Franco Maria Nardini, ISTI-CNR, Pisa, Italy; Igo Brilhante, UFC; Jose de Macedo, UFC; Raffaele Perego, ISTI - CNR
• Paper ID 243, Directing Exploratory Search with Interactive Intent Modeling, Tuukka Ruotsalo, Aalto University; Jaakko Peltonen, Aalto University; Manuel Eugster, ; Dorota Glowacka, University of Helsinki; Ksenia Konyushkova, University of Helsinki; Kumaripaba Athukorala, University of Helsinki; Ilkka Kosunen, University of Helsinki; Aki Reijonen, University of Helsinki; Petri Myllymaki, University of Helsinki; Giulio Jacucci, University of Helsinki; Samuel Kaski, Aalto University
• Paper ID 258, FRec: A Novel Framework of Recommending Users and Communities in Social Media, Lei Li, Florida International Univ.; Wei Peng, Xerox Corporation; Saurabh Kataria, Xerox Corporation; Tong Sun, Xerox Corporation; Tao Li, Florida International University
• Paper ID 272, Permutation Indexing: Fast Approximate Retrieval from Large Corpora, Maxim Gurevich, Google; Tamas Sarlos, Google
• Paper ID 318, Clustering-based Transduction for Learning a Ranking Model with Limited Human Labels, XIN ZHANG, UCAS; Ben He, UCAS
• Paper ID 330, Exploiting Ranking Factorization Machines for Microblog Retrieval, Runwei Qiang, Peking University; Feng Liang; Jianwu Yang
• Paper ID 367, Learning Compact Hashing Codes for Efficient Tag Completion and Prediction, Qifan Wang, Purdue University; Lingyun Ruan, Purdue University; Zhiwei Zhang, Purdue University; Luo Si, Purdue University
• Paper ID 385, How Do Users Grow Up Along With Search Engines? A Study of Long-term Users Behavior, Jian Liu, Tsinghua University, China; Yiqun Liu; Min Zhang, Tsinghua Univeristy, China; Shaoping Ma
• Paper ID 411, LR-PPR: Locality-Sensitive, Re-use Promoting, Approximate Personalized PageRank Computation, Jung Hyun Kim, ASU; K. Selcuk Candan, Arizona State University; Maria Sapino, University of Torino
• Paper ID 417, Multimedia Summarization for Trending Topics in Microblogs, Jingwen Bian, NUS; Yang Yang, National University of Singapore; Tat-Seng Chua, NUS Singapore
• Paper ID 426, GAPfm: Optimal Top-N Recommendations for Graded Relevance Domains, Yue Shi, Delft University of Technology; Alexandros Karatzoglou, Telefonica Research; Linas Baltrunas, Telefonica Research; Martha Larson, Delft University of Technology; Alan Hanjalic, Delft University of Technology
• Paper ID 428, URL Tree: Efficient unsupervised content extraction from streams of Web documents, Borut Sluban, Jozef Stefan Institute; Miha Grcar, Jozef Stefan Institute
• Paper ID 463, Estimating Document Focus Time, Adam Jatowt, Kyoto University; Ching-man Au Yeung; Katsumi Tanaka, Kyoto University
• Paper ID 529, LearNext: Learning to Predict Tourists Movements, Ranieri Baraglia, ; Cristina Muntean, ISTI CNR; Franco Maria Nardini, ISTI-CNR, Pisa, Italy; Fabrizio Silvestri, ISTI - CNR
• Paper ID 533, Faceted Models of Blog Feeds, Lifeng Jia, UIC; Clement Yu, University of Illinois at Chicago; Weiyi Meng, Binghamton University
• Paper ID 669, SRbench-A Benchmark for Soundtrack Recommendation Systems, Aleksandar Stupar, Saarland University; Sebastian Michel, Saarland University
• Paper ID 690, CV-PCR: A Context-Guided Value-Driven Framework for Patent Citation Recommendation, Sooyoung Oh, Penn State University; Zhen Lei, Penn State University; Wang-Chien Lee, Penn State University; Prasenjit Mitra, Penn State; John Yen, Penn State University
• Paper ID 788, Modeling Behavioral Factors in Interactive Information Retrieval, Feza BASKAYA, UTA; Heikki Keskustalo, UTA; Kalervo Järvelin, UTA
• Paper ID 800, Intent Models for Contextualising and Diversifying Query Suggestions, Eugene Kharitonov, Yandex; Craig Macdonald, Glasgow University; Pavel Serdyukov, Yandex; Iadh Ounis, Glasgow University
• Paper ID 872, Transferring Knowledge with Source Selection to Learn IR Functions on Unlabeled Collections, Parantapa Goswami, LIG, University Joseph Fourier; Massih-Reza Amini, LIG, University Joseph Fourier; Eric Gaussier, LIG, University Joseph Fourier
• Paper ID 951, Understanding Web Search Interactions with Dynamic Results Generated using Implicit Feedback , Jinyoung Kim, Microsoft; Mark Cramer, Surf Canyon; Jaime Teevan, Microsoft Research; Dmitry Lagun, Emory University
• Paper ID 970, Facet Selection Algorithms for Web Product Search, Damir Vandic, Erasmus University Rotterdam; Flavius Frasincar, Erasmus University Rotterdam; Uzay Kaymak, Eindhoven University of Technology
• Paper ID 990, Learning Deep Structured Semantic Models for Web Search using Clickthrough Data, Po-Sen Huang, University of Illinois at Urbana-Champaign; Xiaodong He, Microsoft Research; Jianfeng Gao, Microsoft Research; Li Deng, Microsoft Research; Alex Acero, Microsoft Research; Larry Heck, Microsoft Research
• Paper ID 1018, Learning Open-domain Comparable Entity Graphs from User Search Queries, Ziheng Jiang; Lei Ji; Jianwen Zhang, Microsoft Research Asia; Jun Yan
• Paper ID 1050, RAProp: Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem and Inter-Tweet Agreement, Srijith Ravikumar, Arizona State University; Karthik Talamadupula, Arizona State University; Raju Balakrishnan, Groupon Inc; Subbarao Kambhampati, Arizona State University
• Paper ID 1144, Incorporating the Surfing Behavior of Web Users into PageRank , Shatlyk Ashyralyev, Bilkent University; Berkant Barla Cambazoglu, Yahoo! Research Barcelona, Spain; Cevdet Aykanat, Bilkent University
• Paper ID 1229, Question Routing to User Communities , Aditya Pal, IBM Research; Fei Wang, IBM; Jeffrey Nichols; Michelle Zhou; Barton Smith, IBM
• Paper ID 1241, Learning to Rank for Question Routing in Community Question Answering, Zongcheng Ji, ICT,CAS; Bin Wang

• Paper ID 27, Nonparametric Bayesian Multitask Collaborative Filtering, Sotirios Chatzis, Cyprus University of Technolog
• Paper ID 62, Predicting User Activity Level in Social Networks, Yin Zhu, HKUST; Erheng Zhong, HKUST; Sinno Pan, Institute for Infocomm Research, Singapore ; Xiao Wang, Renren Inc.; Minzhe Zhou, Renren Inc.; Qiang Yang
• Paper ID 71, Discovering Coherent Topics using General Knowledge, Zhiyuan Chen, Univ. of Illinois at Chicago; Arjun Mukherjee, University of Illinois at Chicago; Bing Liu, University of Illinois at Chicago; Meichun Hsu, HP Labs; Malu Castellanos, HP Labs; Riddhiman Ghosh, HP Labs
• Paper ID 111, Toward Advice Mining: Advanced Conditional Random Fields for Extracting Advice-revealing Text Unit, Alfan Wicaksono, KAIST; Sung-Hyon Myaeng, KAIST
• Paper ID 117, Wikification via Link Co-occurrence, Zhiyuan Cai, Shanghai Jiaotong University; Kaiqi Zhao, Shanghai Jiao Tong University; Kenny Zhu, Shanghai Jiao Tong University; Haixun Wang, Microsoft
• Paper ID 144, Accurate and scalable nearest neighbors in large networks based on effective importance, Petko Bogdanov, UCSB; Ambuj Singh, UC Santa Barbara
• Paper ID 146, On Popularity Prediction of Videos Shared in Online Social Networks , Haitao Li, Simon Fraser University; Xiaoqiang Ma; Feng Wang; Jiangchuan Liu; Ke Xu
• Paper ID 163, Spatial-Temporal Query Homogeneity for KNN Object Search on Road Networks, Ying-Ju Chen, National Taiwan University; Kun-Ta Chuang, National Cheng Kung University; Ming-Syan Chen, National University of Taiwan
• Paper ID 186, Spatio-Temporal and Events based Analysis of Topic Popularity in Twitter, Amit Ruhela, IIT Delhi; Rudra Tripathy, IIT Delhi; Sipat Triukose, NICTA Australia; sebastien Ardon, NICTA Australia; Aaditeshwar Seth, IIT Delhi; Anirban Mahanti, NICTA Australia; Amitabha Bagchi, IIT, Delhi
• Paper ID 224, Effective Measures for Inter-Document Similarity, John Whissell, University of Waterloo; Charlie Clarke, University of Waterloo
• Paper ID 253, Efficient Hierarchical Clustering of Large High Dimensional Datasets, Sean Gilpin, UC Davis; Buyue Qian, ; Ian Davidson, University of California - Davis
• Paper ID 262, Feedback-Driven Multiclass Active Learning for Data Streams, Yu Cheng, Northwestern University; Jiang Wang, Northwestern University; Alok Choudhary, Northwestern University
• Paper ID 279, On Mining Mobile Apps Usage Behavior for Predicting Apps Usages in Smartphones, Zhung-Xun Liao, National Chiao Tung University; Yi-Chin Pan; Wen-Chih Peng; Po-Ruey Lei
• Paper ID 299, Mining Frequent Neighborhood Patterns in a Large Labeled Graph, Jialong Han, Renmin University of China; Ji-Rong Wen, Microsoft, USA
• Paper ID 307, Inferring Anchor Links across Multiple Heterogeneous Social Networks, Xiangnan Kong, Univ. of Illinois at Chicago; Jiawei Zhang, Univ. Illinois at Chicago; Philip Yu, University of Illinois at Chicago
• Paper ID 309, Discriminative Feature Selection for Multi-View Cross-Domain Learning, Zheng Fang, Zhejiang University; Zhongfei (Mark) Zhang, SUNY Binghamton
• Paper ID 322, Community-Based User Recommendation in Uni-Directional Social Networks, Gang Zhao, NUS; Mong Li Lee, NUS; Wynne Hsu, National University of Singapore
• Paper ID 326, Discovering Influential Authors in Heterogeneous Academic Networks by a Co-ranking Method, Qinxue Meng, UTS
• Paper ID 350, Overlapping Community Detection Using Seed Set Expansion, Joyce Whang, University of Texas at Austin; David Gleich, Purdue University; Inderjit Dhillon, University of Texas, Austin
• Paper ID 378, The Logical Diversity of Explanations in OWL Ontologies, Samantha Bail, The University of Manchester; Bijan Parsia, The University of Manchester; Ulrike Sattler, The University of Manchester
• Paper ID 412, Functional Dirichlet Processes, Lijing Qin, Tsinghua University; Xiaoyan Zhu
• Paper ID 419, Exploring Weakly Supervised Latent Sentiment Explanations for Aspect-level Review Analysis, Lei Fang, Tsinghua University; Minlie Huang, Tsinghua Univ
• Paper ID 421, Ontology authoring with FORZA, C. Maria Keet, School of Mathematics, Statistics, and Computer Science, University of KwaZuluNa; Muhammad Tahir Khan, FBK; Chiara Ghidini, Fondazione Bruno Kessler
• Paper ID 439, Domain-Dependent/Independent Topic Switching Model for Online Reviews with Numerical Ratings, Yasutoshi Ida, Waseda University; Takuma Nakamura, Waseda University, Graduate School of Advanced Science and Engineering; Takashi Matsumoto, Waseda University, Graduate School of Advanced Science and Engineering
• Paper ID 447, StaticGreedy: solving the scalability-accuracy dilemma in influence maximization, Suqi Cheng, ICT,China; Hua-wei Shen, ICT; Junming Huang, ICT,China; Xueqi Cheng, Chinese Academy of Sciences; Guoqing Zhang
• Paper ID 476, Local-to-Global Semi-Supervised Feature Selection, Mohammed Hindawi, INSA of Lyon; Khalid Benabdeslem, University of Lyon1 - LIRIS
• Paper ID 486, Online Multitasking - What Web Analytics think we do and what we really do, Janette Lehmann, Universitat Pompeu Fabra; Mounia Lalmas, Yahoo; Georges Dupret, Yahoo!; Ricardo Baeza-Yates
• Paper ID 487, Location Prediction in Social Media Based on Tie Strength, Jeffrey McGee, Texas A&M University; James Caverlee, Texas A&M
• Paper ID 500, PATRIC: A Parallel Algorithm for Counting Triangles in Massive Networks, Shaikh Arifuzzaman, Virginia Tech; Maleq Khan, Virginia Tech; Madhav Marathe, Virginia Tech
• Paper ID 501, Aligning Freebase with the YAGO Ontology, Elena Demidova, L3S Research Center; Iryna Oelze, ; Wolfgang Nejdl, Leibniz Universität Hannover
• Paper ID 506, Ranking Fraud Detection for Mobile Apps: A Holistic View, Hengshu Zhu, USTC; Hui Xiong, Rutgers, the State University of New Jersey; Yong Ge, UNCC; Enhong Chen, Uni. of Sci. & Tech. of China
• Paper ID 524, AnchorMF: Towards Effective Event Context Identification, Hansu Gu, University of Colorado at Boul; Mike Gartrell, ; Liang Zhang; Qin Lv; Dirk Grunwald
• Paper ID 527, Mining Diabetes Complication and Treatment Patterns for Clinical Decision Support, Lu Liu, Northwestern University; Jie Tang, Tsinghua U. China; Ankit Agrawal, Northwestern University; Wei-keng Liao; Alok Choudhary
• Paper ID 560, Toward Faster and Better Retrieval Models for Question Search, Guangyou ZHOU, Institute of Automation; Jun Zhao, IBM; Yubo Chen, IBM
• Paper ID 561, Archiving the Relaxed Consistency Web, Zhiwu Xie, Virginia Tech; Herbert Van de Sompel, Los Alamos National Laboratory; Liu Jinyang, Howard Hughes Medical Institute; Johann van Reenen, University of New Mexico; Ramiro Jordan, University of New Mexico
• Paper ID 584, TODMIS: Mining Communities from Trajectories, Siyuan Liu, Carnegie Mellon University; Shuhui Wang, ICT, CAS; Kasthuri JEYARAJAH, SMU; archan Misra, Singapore Management University; Ramayya Krishnan, Carnegie Mellon University
• Paper ID 590, A Two-Phase Algorithm for Mining Sequential Patterns with Differential Privacy, Luca Bonomi, Emory University; Li Xiong, Emory University, USA
• Paper ID 598, Lead-Lag Analysis via Sparse Co-Projection in Correlated Text Streams, Fangzhao Wu, Tsinghua University; Yangqiu Song, HKUST; Liu Shixia, Microsoft Research Asia; Huang Yongfeng, Tsinghua University
• Paper ID 611, On Handling Textual Errors in Latent Document Modeling, Tao Yang, Penn State University; Dongwon Lee, Penn State University
• Paper ID 620, A Partially Supervised Cross-Collection Topic Model for Cross-Domain Text Classification, Yang Bao, NUS; Nigel Collier, NII; Anindya Datta, NUS
• Paper ID 666, Information Extraction as a Filtering Task, Henning Wachsmuth, University of Paderborn; Benno Stein; Gregor Engels
• Paper ID 670, Web News Extraction via Path Ratios, Gongqing Wu, Hefei University of Technology; Li Li, Hefei University of Technology; Xuegang Hu; Xindong Wu
• Paper ID 698, PIDGIN: Ontology Alignment using Web Text as Interlingua, Derry Wijaya, CMU; Partha Talukdar, CMU; Tom Mitchell, CMU
• Paper ID 761, Flexible and Adaptive Subspace Search for Outlier Analysis, Fabian Keller, KIT; Emmanuel Muller, Karlsruhe Institute of Technology (KIT); Andreas Wixler; Klemens Bohm
• Paper ID 780, To Stay or Not to Stay: Modeling Engagement Dynamics in Social Graphs, Fragkiskos Malliaros, Ecole Polytechnique; Michalis Vazirgiannis, Ecole Polytechnique
• Paper ID 801, Query Matching for Report Recommendation, Veronika Thost, TU Dresden; Konrad Voigt, ; Daniel Schuster, TU Dresden
• Paper ID 805, An Efficient MapReduce Algorithm for Counting Triangles in a Very Large Graph, Ha-Myung Park, KAIST; Chin-Wan Chung, Division of Web Science and Technology, KAIST
• Paper ID 807, Mapping Adaptation Actions for the Automatic Reconciliation of Dynamic Ontologies, Julio DOS REIS, CRP Henri Tudor & Uni ParisSUD; Ba Duy DINH, CRP Henri Tudor; Cedric PRUSKI, CRP Henri Tudor; Marcos DA SILVEIRA, CRP Henri Tudor; Chantal Reynaud, LRI. University of Paris SUD
• Paper ID 810, Entity Disambiguation in Anonymized Graphs Using Graph Kernels, Linus Hermansson, Chalmers Uni. of Technology; Tommi Kerola, Chalmers Uni. of Technology; Fredrik Johansson, Chalmers Uni. of Technology; Vinay Jethava, Chalmers Univ. of Technology; Devdatt Dubhashi, Chalmers Univ. of Technology
• Paper ID 816, Manipulation among the arbiters of collective intelligence: How Wikipedia administrators mold public opinion, Sanmay Das, Virginia Tech; Allen Lavoie, Virginia Tech; Malik Magdon-Ismail, RPI
• Paper ID 841, Computing Term Similarity by Large Probabilistic isA Knowledge, Peipei Li, Hefei University of Technology; Haixun Wang, Google Research; Kenny Zhu, Shanghai Jiao Tong University; zhongyuan Wang, Microsoft Research Asia; Xindong Wu, University of Vermont
• Paper ID 851, Using Micro-Reviews to Select an Efficient Set of Reviews, Thanh-Son Nguyen, ; Hady Lauw, Singapore Management University; Panayiotis Tsaparas
• Paper ID 875, Adaptive Co-Training SVM for Sentiment Classification on Tweets, Shenghua Liu, ICT, CAS; Fuxin Li, ; Fangtao Li, Google Inc. Beijing, China; Xueqi Cheng, Chinese Academy of Sciences
• Paper ID 878, Intelligently Querying Incomplete Instances for Improving Classification Performance, Karthik Sankaranarayanan, IBM Research; Amit Dhurandhar, IBM Research
• Paper ID 886, Personalized Influence Maximization on Social Networks, Guo Jing, BUPT; Zhang Peng
• Paper ID 926, How the Live Web Feels About Events, George Valkanas, University of Athens; Dimitrios Gunopulos, University of Athens
• Paper ID 946, Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic, William Yang Wang, Carnegie Mellon University; Kathryn Mazaitis, Carnegie Mellon University; William Cohen, Carnegie Mellon University
• Paper ID 957, Automatic Construction of Domain and Aspect Specific Sentiment Lexicons for Customer Review Mining, Juergen Bross, Freie University Berlin; Heiko Ehrig, Neofonie GmbH
• Paper ID 984, Parallel Motif Extraction from Very Long Sequences, Majed Sahli, KAUST; Essam Mansour, Qatar Computing Research Institute (QCRI); Panos Kalnis, KAUST
• Paper ID 1024, Mining-Based Compression Approach of Propositional Formulae, Said Jabbour, CRIL, University of Artois; Lakhdar SAIS, CRIL, University of Artois; Yakoub Salhi, CRIL, University of Artois; Takeaki Uno, National Institute of Informatics, Tokyo, Japan
• Paper ID 1030, Boolean Satisfiability for Sequence Mining, Said Jabbour, CRIL, University of Artois; Lakhdar SAIS, CRIL, University of Artois; Yakoub Salhi, CRIL, University of Artois
• Paper ID 1075, A Probabilistic Mixture Model for Mining and Analyzing Product Search Log, Huizhong Duan, UIUC; ChengXiang Zhai, UIUC; Jinxing Cheng, WalmartLabs; Abhishek Gattani, WalmartLabs
• Paper ID 1097, Spatio-Temporal Meme Prediction: Learning What Hashtags Will Be Popular Where, Krishna Kamath, Texas A & M University; James Caverlee, Texas A&M
• Paper ID 1130, Correlating Medical-dependent Query Features with Image Retrieval Models Using Association Rules, Hajer Ayadi, ReDCAD; Mouna Torjmen, ReDCAD; Mariam Daoud; Maher Ben Jemaa, ReDCAD
• Paper ID 1158, UNIK: Unsupervised Social Network Spam Detection, Enhua Tan, LinkedIn; Lei Guo; Songqing Chen; Xiaodong Zhang; Yihong (Eric) Zhao
• Paper ID 1170, Cost-sensitive Learning for Large-scale Hierarchical Classification of Commercial Products, Jianfu Chen, Stony Brook University; David Warren, Stony Brook University
• Paper ID 1189, Modeling Dynamics of Meta-Populations with a Probabilistic Approach: Global Diffusion in Social Media, Minkyoung Kim, Australian National University; David Newth, The Commonwealth Scientific and Industrial Research Organisation; Peter Christen, ANU
• Paper ID 1201, Eigenvalues Perturbation of Integral Operator for Kernel Selection, Yong Liu, Tianjin University; Guoliang Shi, Tianjin University; Shizhong Liao, Tianjin University
• Paper ID 1230, Content Coverage Maximization on Word Networks for Hierarchical Topic Summarization, Chi Wang, University of Illinois; Xiao Yu, University of Illinois at Urbana-Champaign; Yanen Li, University of Illinois; ChengXiang Zhai, UIUC; Jiawei Han, UIUC
• Paper ID 1264, Estimating the Relative Utility of Networks for Predicting User Activities, Nina Mishra, Microsoft; Daniel Romero; Panayiotis Tsaparas
• Paper ID 1266, Diffusion of Innovations Revisited: from Social Network to Innovation Network, Xin Rong, University of Michigan; Qiaozhu Mei, University of Michigan

• Paper ID 21, pEDM: Online-Forecasting for Smart Energy Analytics, Lars Dannecker, SAP AG; Philipp Roesch, SAP AG; Ulrike Fischer, Technische Universität Dresden; Gordon Gaumnitz, SAP AG; Wolfgang Lehner, Technische Universität Dresden; Gregor Hackenbroich, SAP AG
• Paper ID 32, A Multimodal Framework for Unsupervised Feature Fusion, Xiaoyi Li, University at Buffalo; Jing Gao, Univ. of Buffalo; Hui Li; Le Yang; Rohini Srihari, University at Buffalo, State University of New York
• Paper ID 44, Fast Parameterless Density-Based Clustering via Random Projections, Michail Vlachos, ; Johannes Schneider, IBM Research
• Paper ID 114, Towards Metric Fusion on Multi-layer Graphs: A Cross-view based Graph Random Walk Approach, Yang Wang, UNSW; Xuemin Lin , University of New South Wales
• Paper ID 119, Social Recommendation Incorporating Topic Mining and Social Trust Analysis, Tong Zhao, Tsinghua University; Chunping Li, Tsinghua University; Mengya Li, Tsinghua University
• Paper ID 172, Dynamic Multi-Faceted Topic Discovery in Twitter, Jan Vosecky, HKUST; Di Jiang, HKUST; Kenneth Leung, HKUST; Wilfred Ng
• Paper ID 174, An Efficient Probabilistic Framework for Multi-Dimensional Classification, Iyad Batal, University of Pittsburgh; Charmgil Hong, ; Milos Hauskrecht, University of Pittsburgh
• Paper ID 214, Discovering Latent Blockmodels in Sparse and Noisy Graphs using Non-Negative Matrix Factorisation, Jeffrey Chan, University of Melbourne; Wei Liu, NICTA; Andrey Kan, Walter and Eliza Hall Institute; Christopher Leckie, University of Melbourne; James Bailey, University of Melbourne; Ramamoharnarao Kotagiri, University of Melbourne
• Paper ID 305, Compact Explanatory Opinion Summarization, Hyun Duk Kim, UIUC; Malu Castellanos, HP Labs; Meichun Hsu, HP Labs; Chengxiang Zhai, University of Illinois at Urbana Champaign; Umesh Dayal, HP Labs; Riddhiman Ghosh, HP Labs
• Paper ID 325, Towards an Enhanced and Adaptable Ontology by Distilling and Assembling Online Encyclopedias, Shan Jiang, Peking University; Yan Zhang, Peking University
• Paper ID 342, Assessing Sparse Information Extraction using Semantic Contexts, Peipei Li, Hefei University of Technology; Haixun Wang, Google Research; Hongsong Li, Microsoft Research Asia; Xindong Wu, University of Vermont
• Paper ID 347, Originator or Propagator? Incorporating Social Role Theory into Topic Models for Twitter Content Analysis, Xin Zhao, PKU; Jinpeng Wang, PKU; Yulan He, ; Jian-Yun Nie, Univeristy of Montreal
• Paper ID 374, Probabilistic Semantic Similarity Measurements for Noisy Short Texts Using Wikipedia Entities, Masumi Shirakawa, Osaka University; Kotaro Nakayama, University of Tokyo; Takahiro Hara, Osaka University; Shojiro Nishio, Osaka University
• Paper ID 451, Re-ranking for Joint Named-Entity Recognition and Linking, Avirup Sil, Temple University; Alexander Yates, Temple University
• Paper ID 458, Identifying Salient Entities in Web Pages, Michael Gamon, Microsoft Research; Tae Yano, ; Xinying Song, Microsoft Research; Johnson Apacible, Microsoft Research; Patrick Pantel, Microsoft Research
• Paper ID 468, OMS-TL: A Framework of Online Multiple Source Transfer Learning, Liang Ge, SUNY Buffalo; Jing Gao, Univ. of Buffalo; Aidong Zhang, SUNY Buffalo
• Paper ID 474, Studying from Electronic Textbooks, Rakesh Agrawal, Microsoft Research; Sreenivas Gollapudi, Microsoft Research; Anitha Kannan, Microsoft Research; Krishnaram Kenthapadi, Microsoft Research
• Paper ID 510, An Effective Latent Networks Fusion based Model for Event Recommendation in Offline Ephemeral Social Networks, Guoqiong Liao, Univ. of Illinois at Chicago; Yuchen Zhao, Univ. of Illinois at Chicago; sihong Xie, Univ. of Illinois at Chicago; Philip S. Yu
• Paper ID 579, Generating Informative Snippet to Maximize Item Visibility, Mahashweta Das, Univ of Texas at Arlington; habibur Rahman, University of Texas at Arlington; Gautam Das, University of Texas at Arlington; Vagelis Hristidis, University of California, Riverside
• Paper ID 581, Predicting Trends in Social Networks via Dynamic Activeness Model, Shuyang Lin, University of Illinois at Chicago; Xiangnan Kong, Univ. of Illinois at Chicago; Philip S. Yu
• Paper ID 592, Mining Entity Attribute Synonyms via Compact Clustering, Yanen Li, University of Illinois; Paul Hsu, Microsoft Research, USA; Chengxiang Zhai, University of Illinois at Urbana Champaign; Kuansan Wang, Microsoft Research
• Paper ID 600, Dyadic Event Attribution in Social Networks with Mixtures of Hawkes Processes, Liangda Li, Georgia Institute of Technolog; Hongyuan Zha, Georgia Tech, USA
• Paper ID 604, Assessing Quality Score of Wikipedia Articles using Mutual Evaluation of Editors and Texts, Yu Suzuki, Nagoya University; Masatoshi Yoshikawa, Kyoto University
• Paper ID 606, Discovering and Managing Quantitative Association Rules, Chunyao Song, University of Massachusetts, Lowell; Tingjian Ge, Univ. of Massachusetts, Lowell
• Paper ID 617, Mining Causal Topics in Text Data: Iterative Topic Modeling with Time Series Feedback, Hyun Duk Kim, UIUC; Malu Castellanos, HP Labs; Meichun Hsu, HP Labs; ChengXiang Zhai, UIUC; Thomas Rietz, The University of Iowa; Daniel Diermeier, Northwestern University
• Paper ID 623, Concept-Based Analysis of Scientific Literature, Chen-Tse Tsai, UIUC; Gourab Kundu; Dan Roth
• Paper ID 628, Understanding the Roles of Sub-graph Features for Graph Classification: An Empirical Study Perspective, Ting Guo, QCIS,FEIT,UTS; Xingquan Zhu, University of Technology, Sydney
• Paper ID 637, On Sampling the Wisdom of Crowds: Random vs. Expert Sampling of the Twitter stream, Saptarshi Ghosh, IIT Kharagpur; MPI-SWS; Muhammad Bilal Zafar, MPI-SWS; Parantapa Bhattacharya, IIT Kharagpur, MPI-SWS; Naveen Sharma, University of Washington; Niloy Ganguly, IIT Kharagpur, India; Krishna Gummadi, MPI-SWS
• Paper ID 643, Modeling Temporal Effects of Human Mobile Behavior on Location-Based Social Networks, Huiji Gao, Arizona State University; Jiliang Tang, ; Xia Hu, ; Huan Liu, Arizona State University
• Paper ID 677, PAGE: A Partition Aware Graph Computation Engine, Yingxia Shao, Peking University; junjie Yao, ; Bin Cui, Peking University; Lin Ma
• Paper ID 715, Active Exploration: Simultaneous Sampling and Labeling for Large Graphs, Meng Fang, UTS; Jie Yin, CSIRO; Xingquan Zhu, University of Technology, Sydney
• Paper ID 748, One-Class Classifiers via Meta Learning, Eitan Menahem, Ben-Gurion university; Lior Rokach, Ben-Gurion University of the Negev; Yuval Elovici, Ben-Gurion University of the Negev
• Paper ID 789, Mining Characteristic Multi-Scale Motifs in Sensor-Based Time Series, Ugo Vespier, LIACS, Leiden University; Siegfried Nijssen, LIACS, Leiden University; Arno Knobbe, LIACS, Leiden University
• Paper ID 791, Navigating the topical structure of academic search results via Wikipedia category network, Daniil Mirylenka, University of Trento; Andrea Passerini, University of Trento
• Paper ID 796, Efficient Forecasting for Hierarchical Time Series, Lars Dannecker, SAP AG; Robert Lorenz, SAP AG; Philipp Roesch, SAP AG; Wolfgang Lehner, Technische Universität Dresden; Gregor Hackenbroich, SAP AG
• Paper ID 798, Social Media News Communities: Gatekeeping, Coverage, and Statement Bias, Diego Saez-Trumper, Universitat Pompeu Fabra; Carlos Castillo, QCRI; Mounia Lalmas, Yahoo
• Paper ID 928, Local Clustering in Provenance Graphs, Peter Macko, Harvard University; Daniel Margo, Harvard University; Margo Seltzer, Harvard University
• Paper ID 935, Recommending Tags with a Model of Human Categorization, Paul Seitinger, TU-Graz; Dominik Kowald, Know-Center; Christoph Trattner, Graz University of Technology; Tobias Ley, TLU
• Paper ID 1021, Content-Centric Flow Mining for Influence Analysis in Social Streams, Karthik Subbian, University of Minnesota; Charu Aggarwal , IBM Research-Watson; Jaideep Srivastava, University of Minnesota
• Paper ID 1064, Can Back-of-the-Book Indexes be Automatically Created?, Zhaohui Wu, Pennsylvania State University; Zhenhui Li, Penn State University; Prasenjit Mitra, Penn State; C. Lee Giles
• Paper ID 1085, Labels or Attributes? Rethinking the Neighbors for Collective Classification in Sparsely-Labeled Networks, Luke McDowell, U.S. Naval Academy; David Aha, Naval Research Laboratory
• Paper ID 1089, Toward Public Health Surveillance: Discovering Health-Related Knowledge in Social Media Using Heterogeneous Semantic-Enhanced Features, Suppawong Tuarob, Pennsylvania State University; Conrad Tucker, Pennsylvania State University; Marcel Salathe, Pennsylvania State University; Nilam Ram, Pennsylvania State University
• Paper ID 1111, Scalable Bootstrapping For Python, Peter Birsinger, UC Berkeley; Richard Xia, ; Armando Fox, UC Berkeley
• Paper ID 1113, FIRE: Interactive Visual Support for Parameter Space-Driven Rule Mining, Abhishek Mukherji, WPI; Xika Lin, WPI; Jason Whitehouse, WPI; Christopher Botaish, WPI; Elke Rundensteiner, WPI; Matthew Ward, WPI
• Paper ID 1123, Automatically Generating Descriptions for Resources by Tag Modeling, Bin Bi, UCLA; Junghoo Cho , UCLA
• Paper ID 1155, Seeking Provenance of Information in Social Media, Pritam Gundecha, Arizona State University; Zhuo Feng, Arizona State University; Huan Liu, Arizona State University
• Paper ID 1181, Modeling Interaction Features for Debate Side Clustering, Minghui Qiu, Singapore Management Universit; Liu Yang, Peking University; Jing Jiang, Singapore Management University
• Paper ID 1265, Extraction and Integration of Web Data by End-Users, Sudhir Agarwal, Stanford University; Michael Genesereth, Stanford University

• Paper ID 53, One Size Does Not Fit All: MultiGranularity Search of Web Forums, Gayatree Ganu, Rutgers University; Amelie Marian, Rutgers University
• Paper ID 60, Local Correlation Detection with Linearity Enhancement in Streaming Data, Qing Xie, KAUST; Shuo Shang, Aalborg University; Xiangliang Zhang, KAUST; Bo Yuan, Tsinghua University; Chaoyi Pang, CSIRO
• Paper ID 74, Spatial Search for K Diverse-Near Neighbors, Gregory Ference, Pennsylvania State University; Wang-Chien Lee, Penn State University; De-Nian Yang, Academia Sinica, Taipei, Taiwan; Hui-Ju Hung, Academia Sinica, Taipei, Taiwan
• Paper ID 81, Mining a Search Engine's Corpus Without a Query Pool, Mingyang Zhang, George Washington University; Nan Zhang, George Wash. U; Gautam Das, University of Texas at Arlington
• Paper ID 98, G-Tree: An Efficient Index for KNN Search on Road Networks, Ruicheng Zhong, Tsinghua University; Guoliang Li, Tsinghua Univeristy; Kian-Lee Tan; Lizhu Zhou
• Paper ID 134, Efficient Processing of Streaming Graphs for Evolution-Aware Clustering, Mindi Yuan, University of Illinois at Urbana-Champaign; Kun-Lung Wu, IBM Watson Research Center; Gabriela Jacques-Silva, IBM T. J. Watson Research Center; Yi Lu, University of Illinois at Urbana-Champaign
• Paper ID 159, Linear-Time Enumeration of Maximal k-Edge-Connected Subgraphs in Large Networks by Random Contraction, Takuya Akiba, The University of Tokyo; Yoichi Iwata, The University of Tokyo; Yuichi Yoshida, National Institute of Informatics & Preferred Infrastructure, Inc.
• Paper ID 210, External memory bisimulation reduction of big graphs, Yongming Luo, TU/e; George H.L. Fletcher, TU/e; Jan Hidders, TU Delft; Yuqing Wu, Indiana University, Bloomington; Paul De Bra, TU/e
• Paper ID 247, All Roads Lead to Rome: Optimistic Recovery for Distributed Iterative Data Processing, Sebastian Schelter, Technische Universität Berlin; Stephan Ewen, Technische Universität Berlin; Kostas Tzoumas, TU Berlin; Volker Markl, Technische Universität Berlin
• Paper ID 263, Causality and Responsibility: Probabilistic Queries Revisited in Uncertain Databases, Xiang Lian, ; Lei Chen, Hong Kong University of Science and Technology
• Paper ID 311, Optimizing Plurality for Human Intelligence Tasks, Luyi Mo, University of Hong Kong; Reynold Cheng, University of Hong Kong; Ben Kao, The University of Hong Kong; Xuan Yang; Chenghui Ren; Siyu Lei; Eric Lo, The Hong Kong Polytechnic University; David Cheung, University of Hong Kong
• Paper ID 552, Entropy-based Histograms for Selectivity Estimation, Hien To, USC; Cyrus Shahabi; Kuorong Chiang
• Paper ID 636, Efficient Two-Party Private Blocking based on Sorted Nearest Neighborhood Clustering, Dinusha Vatsalan, ANU; Peter Christen, ANU; Vassilios Verykios, Hellenic Open University
• Paper ID 661, Querying Graphs with Preferences, Valeria Fionda, Free University of Bolzano; Giuseppe Pirrò, Free University of Bolzano
• Paper ID 820, Context Aware Top-k Processing using Views, Bogdan Cautis, TELECOM Paris Tech; Silviu Maniu, Hong Kong University
• Paper ID 824, Network-aware Search in Social Tagging Applications: Instance Optimality versus Efficiency, Bogdan Cautis, TELECOM Paris Tech; Silviu Maniu, Hong Kong University
• Paper ID 858, A Comparison of Two Physical Data Designs for Interactive Social Networking Actions, Sumita Barahmand, USC; Shahram Ghandeharizadeh, USC; Jason Yap, USC
• Paper ID 962, Searching Similar Segments over Textual Event Sequences, Liang Tang, Florida International Univ.; Tao Li, Florida International University; Yexi Jiang, FIU
• Paper ID 1022, RWS-Diff: Flexible and Efficient Change Detection in Hierarchical Data, Jan Finis, Technische Universitat Munchen; Martin Raiber, TU Munchen; Nikolaus Augsten, University of Salzburg; Robert Brunel, TU Munchen; Alfons Kemper, TU Munchen; Franz Farber, SAP
• Paper ID 1167, Efficient Parsing-based Search over Structured Data, Aditya Parameswaran, Stanford University; Raghav Kaushik, Microsoft Research; Arvind Arasu, Microsoft Research
• Paper ID 1242, Locality Sensitive Hashing Revisited: Filling the Gap Between Theory and Algorithm Analysis, Hongya Wang, Donghua University

• Paper ID 20, Efficient Filtering and Ranking Schemes for Finding Inclusion Dependencies on the Web, Atsuyuki Morishima, University of Tsukuba; Erika Yumiya, University of Tsukuba; Masami Takahashi, University of Tsukuba; Shigeo Sugimoto, University of Tsukuba; Hiroyuki Kitagawa, University of Tsukuba
• Paper ID 90, Graph Similarity Search with Edit Distance Constraint in Large Graph Databases, Weiguo Zheng, Peking University; Lei Zou; Xiang Lian; Dong Wang; Dongyan Zhao
• Paper ID 169, Fast and Scalable Reachability Queries on Graphs by Pruned Labeling with Landmarks and Paths, Yosuke Yano, The University of Tokyo; Takuya Akiba, The University of Tokyo; Yoichi Iwata, The University of Tokyo; Yuichi Yoshida, National Institute of Informatics & Preferred Infrastructure, Inc.
• Paper ID 184, Wondering why data are missing from query results? Ask Conseil Why-Not, Melanie Herschel, University Paris South / INRIA
• Paper ID 195, Fast Evaluation of Iceberg Pattern-Based Aggregate Queries, Zhian He, Hong Kong Polytechnic University; Petrie Wong, Hong Kong Polytechnic University; Ben Kao, The University of Hong Kong; Eric Lo, The Hong Kong Polytechnic University; Reynold Cheng, University of Hong Kong
• Paper ID 289, TopDown Keyword Query Processing on XML Data, Junfeng Zhou, Yanshan University; Xingmin Zhao, Yanshan University; Wei Wang, University of New South Wales; Ziyang Chen, Yanshan University; Jeffrey Xu Yu, Chinese University of Hong Kong
• Paper ID 319, A New Operator for Efficient Stream-Relation Join Processing in Data Streaming Engines, Roozbeh Derakhshan, Griffith University ; Abdul Sattar , Griffith University ; Bela Stantic, Griffith University
• Paper ID 331, HotnessAware Buffer Management for Flashbased Hybrid Storage Systems, Yanfei Lv, Peking University; Bin Cui, Peking University; Xuexuan Chen, Peking University; Jing Li
• Paper ID 388, Graph Hashing and Factorization for Fast Graph Stream Classification, Ting Guo, QCIS,FEIT,UTS; Xingquan Zhu,University of Technology, Sydney; Lianhua Chi, QCIS,FEIT,UTS
• Paper ID 394, Efficiently Anonymizing Social Networks with Reachability Preservation, Xiangyu Liu, Northeastern University; bin wang, ; Xiaochun Yang, Northeastern University
• Paper ID 461, SCISSOR: Scalable and Efficient Reachability Query Processing in Time-Evolving Hierarchies, Phani Rohit Mullangi, UGA; Lakshmish Ramaswamy
• Paper ID 494, ImG-Complex: Graph Data Model for Topology of Unstructured Meshes, Alireza Rezaei Mahdiraji, Jacobs-University; Peter Baumann, Jacobs University; Guntram Berti, Consulting Mathematical Methods (CMM)
• Paper ID 519, A Generic Front-Stage for Semi-Stream Processing, Muhammad Asif Naeem, Auckland University of Technol; Gerald Weber, The University of Auckland; Gillian Dobbie, The University of Auckland; Christof Lutteroth, The University of Auckland
• Paper ID 575, Efficient Pruning Algorithm for Top-K Ranking on Dataset with Value Uncertainty, Jianwen Chen, Tsinghua University; Ling Feng
• Paper ID 601, Query Execution Timing: Taming Real-time Anytime Queries on Multicore Processors, Chunyao Song, University of Massachusetts, Lowell; Zheng Li, University of Massachusetts, Lowell; Tingjian Ge, Univ. of Massachusetts, Lowell; Jie Wang, University of Massachusetts, Lowell
• Paper ID 649, UMicS: From Anonymized Data to Usable MicroData, Graham Cormode, ; Magda Procopiuc, AT&T Labs Research; Divesh Srivastava, ; Xi Gong, ; Entong Shen, ; Ting Yu, North Carolina State Universit
• Paper ID 674, Merged Aggregate Nearest Neighbor Query Processing in Road Networks, Weiwei Sun; Chong Chen, Fudan University; Baihua Zheng; Chunan Chen; Liang Zhu; Weimo Liu; Yan Huang
• Paper ID 679, SkyView: a user evaluation of the skyline operator, Ira Assent; Kasper Hornbaek; Mikkel Jacobsen; Ken Friis Larsen; Matteo Magnani, CNR, Italy
• Paper ID 814, Scalable Diversification of Multiple Search Results, Hina Khan, ; Marina Drosou, University of Ioannina; Mohamed Sharaf, University of Queensland
• Paper ID 898, Triangle Counting in a Massive Streaming Graph Using a Multicore Machine, Kanat Tangwongsan, IBM Research; A. Pavan, Iowa State University; Srikanta Tirthapura, Iowa State University
• Paper ID 929, Cache Refreshing for Online Social News Feeds, Xiao Bai, Yahoo! Labs; Flavio Junqueira, Microsoft Research ; Adam Silberstein, Trifacta
• Paper ID 969, ROU: Advanced Keyword Search on Graph, Yifan Pan, Indiana University; Yuqing Wu, Indiana University, Bloomington
• Paper ID 1154, Expedited Rating of Data Stores Using Efficient Data Loading Techniques, Sumita Barahmand, USC; Shahram Ghandeharizadeh, USC