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KDD 2012 Day 2: Tuesday

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  rt917 - On the Separability of Structural Classes of Communities (Session - R13: Community mining) Authors: Session: T-A1: Community mining
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Bruno Abrahao*, Cornell University; Sucheta Soundarajan, Cornell University; John Hopcroft, Cornell University; Robert Kleinberg, Cornell University
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  rt682 - Discovering Lag Intervals for Temporal Dependencies (Session - R14: Sequential and spatio-temporal patterns) Authors: Session: T-A2: Sequential and spatio-temporal patterns
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Liang Tang*, Florida International Univ; Tao Li, Florida International University; Larisa Shwartz, IBM Watson Research Center
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  rt716 - Testing the Significance of Spatio-temporal Teleconnection Patterns (Session - R14: Sequential and spatio-temporal patterns) Authors: Session: T-A2: Sequential and spatio-temporal patterns
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Jaya Kawale*, University of Minnesota; Snigdhansu Chatterjee, ; Dominick Ormsby, ; Karsten Steinhaueser, University of Minnesota; Stefan Liess, ; Vipin Kumar, University of Minnisota
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  rt935 - Mining Large-Scale, Sparse GPS Traces for Map Inference: Comparison of Approaches (Session - R14: Sequential and spatio-temporal patterns) Authors: Session: T-A2: Sequential and spatio-temporal patterns
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Xuemei Liu, Shanghai Jiao Tong University; James Biagioni, Dept. of CS, Univ. of Illinois at Chicago; Yin Wang, HP Labs; Jakob Eriksson, Dept. of CS, Univ. of Illinois at Chicago; George Forman*, HP Labs; Yanmin Zhu, Shanghai Jiao Tong University
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  rt136s - ComSoc: Adaptive Transfer of User Behaviors over Composite Social Network (Session - R15: Personalization and recommendation) Authors: Session: T-A3: Personalization and recommendation
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Erheng Zhong*, HKUST; Wei Fan, IBM Research; Junwei Wang, ; Lei Xiao, ; Yong Li,
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  rt833 - Online Learning to Diversify from Implicit Feedback (Session - R15: Personalization and recommendation) Authors: Session: T-A3: Personalization and recommendation
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Karthik Raman*, Cornell University; Pannaga Shivaswamy, Cornell University; Thorsten Joachims, Cornell University
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  rt913 - Playlist Prediction via Metric Embedding (Session - R15: Personalization and recommendation) Authors: Session: T-A3: Personalization and recommendation
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Shuo Chen, Cornell University; Joshua Moore*, Cornell University; Douglas Turnbull, Ithaca College; Thorsten Joachims, Cornell University
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  rt552 - Efficient Evaluation of Large Sequence Kernels (Session - R16: Supervised learning with auxilliary information) Authors: Session: T-A4: Supervised learning with auxilliary information
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Pavel Kuksa*, NEC Laboratories America, Inc; Vladimir Pavlovic, Rutgers University
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  rt110 - Integrating Community Matching and Outlier Detection for Mining Evolutionary Community Outliers (Session - R18: Outlier and intrusion detection) Authors: Session: T-B2: Outlier and intrusion detection
  Date-time-venue: 15:00-16:20 (80 min)
  Authors: Manish Gupta*, UIUC; Jing Gao, Univ. of Buffalo; Yizhou Sun, UIUC; Jiawei Han, University of Illinois at Urbana-Champaign
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  rt781 - Intrusion as (Anti)social Communication: Characterization and Detection (Session - R18: Outlier and intrusion detection) Authors: Session: T-B2: Outlier and intrusion detection
  Date-time-venue: 15:00-16:20 (80 min)
  Authors: Qi Ding, Boston University; Natallia Katenka, Boston University; Paul Barford*, University of Wisconsin; Eric Kolaczyk, Boston University; Mark Crovella, Boston University
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  rt098 - Unsupervised Feature Selection for Linked Social Media Data (Session - R19: Feature selection) Authors: Session: T-B3: Feature selection
  Date-time-venue: 15:00-16:20 (80 min)
  Authors: Jiliang Tang*, ARIZONA STATE UNIVERISTY; Huan Liu, ARIZONA STATE UNIVERISTY
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  rt216 - Maximum Inner-Product Search Using Cone Trees (Session - R20: Nearest neighbors) Authors: Session: T-B4: Nearest neighbors
  Date-time-venue: 15:00-16:20 (80 min)
  Authors: Parikshit Ram*, Geogia Institute of Technology; Alexander Gray, Georgia Tech
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  rt473 - On Socio-Spatial Group Query for Location-Based Social Networks (Session - R20: Nearest neighbors) Authors: Session: T-B4: Nearest neighbors
  Date-time-venue: 15:00-16:20 (80 min)
  Authors: De-Nian Yang, Academia Sinica; Chih-Ya Shen*, National Taiwan University; Wang-Chien Lee, Pennsylvania State University; Ming-Syan Chen, NTU
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  rt890 - Event-based Social Networks: Linking the Online and Offline Social Worlds (Session - R21: Team, trends, and social profiling) Authors: Session: T-C1: Team
  Date-time-venue: 16:40-18:00 (80 min)
  Authors: Xingjie Liu*, The Pennsalvania State Univ; QI HE, IBM Almaden Research Center; Yuanyuan Tian, IBM Almaden Research; Wang-Chien Lee, Pennsylvania State University; John McPherson, IBM Almaden Research Center; Jiawei Han, University of Illinois at Urbana-Champaign
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  rt394 - Differential Identifiability (Session - R22: Privacy) Authors: Session: T-C2: Privacy
  Date-time-venue: 16:40-18:00 (80 min)
  Authors: Jaewoo Lee*, Purdue University; Chris Clifton, Purdue University
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  rt532 - Transductive Multi-label Ensemble Classification for Protein Function Prediction (Session - R23: Supervised learning applications) Authors: Session: T-C3: Supervised learning applications
  Date-time-venue: 16:40-18:00 (80 min)
  Authors: Guoxian Yu*, South China Univ of Technology; Carlotta Domeniconi, George Mason University ; Huzefa Rangwala, George Mason University; Guoji Zhang, South China University of Technology; Zhiwen Yu,
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  rt796 - Modeling Disease Progression via Fused Sparse Group Lasso (Session - R23: Supervised learning applications) Authors: Session: T-C3: Supervised learning applications
  Date-time-venue: 16:40-18:00 (80 min)
  Authors: Jiayu Zhou, ; Jun Liu, Arizona State University; Vaibhav Narayan, Johnson & Johnson Pharmaceutical Research & Development; Jieping Ye*, Arizona State University
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  rt080 - Open Domain Event Extraction from Twitter (Session - R24: Information extraction) Authors: Session: T-C4: Information extraction
  Date-time-venue: 16:40-18:00 (80 min)
  Authors: Alan Ritter*, University of Washington; Mausam Mausam, University of Washington; Oren Etzioni, University of Washington; Sam Clark, University of Washington
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  rt760 - Metro Maps of Science (Session - R24: Information extraction) Authors: Session: T-C4: Information extraction
  Date-time-venue: 16:40-18:00 (80 min)
  Authors: Dafna Shahaf*, Carnegie Mellon University; Carlos Guestrin, Carnegie Mellon University
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  rt614 - Finding Trendsetters in Information Networks (Session - R21: Team, trends, and social profiling) Authors: Session: T-C1: Team
  Date-time-venue: 16:40-18:00 (80 min)
  Authors: Diego Saez-Trumper (UPF), Giovanni Comarela (UFMG), Virgilio Almeida (UFMG), Ricardo Baeza-Yates (Yahoo! Research), Fabricio Benevenuto (UFOP)
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KDD 2012 Day 3: Wednesday

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  rt235 - Joint Optimization of Bid and Budget Allocation in Sponsored Search (Session - R25: Ads and video recommendation) Authors: Session: W-A1: Ads and video recommendation
  Date-time-venue: 10:30-12:10
  Authors: Weinan Zhang, Shanghai Jiao Tong University; Ying Zhang, Nankai University; Bin Gao*, Microsoft Research Asia; Yong Yu, Shanghai Jiao Tong University; Xiaojie Yuan, Nankai University; Tie-Yan Liu, Microsoft Research
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  rt907 - Online Allocation of Display Ads with Smooth Delivery (Session - R25: Ads and video recommendation) Authors: Session: W-A1: Ads and video recommendation
  Date-time-venue: 10:30-12:10
  Authors: Anand Bhalgat*, University of Pennsylvania; Jon Feldman, Google Inc; Vahab Mirrokni, Google Research
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  rt469 - Summarization-based Mining Bipartite Graphs (Session - R26: Graph mining) Authors: Session: W-A2: Graph mining
  Date-time-venue: 10:30-12:10
  Authors: Jing Feng, ; Xiao He, ; Bettina Konte, ; Christian Boehm, ; Claudia Plant*, Florida State University
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  rt535s - Cross-domain Collaboration Recommendation (Session - R27: Recommendation) Authors: Session: W-A3: Recommendation
  Date-time-venue: 10:30-12:10
  Authors: Jie Tang*, Tsinghua University; Sen Wu, Tsinghua University; Jimeng Sun, IBM; Hang Su, Beihang University
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  rt531 - Chromatic Correlation Clustering (Session - R28: Clustering) Authors: Session: W-A4: Clustering
  Date-time-venue: 10:30-12:10
  Authors: Francesco Bonchi, Yahoo! Research; Aristides Gionis*, Yahoo Research; Francesco Gullo, Yahoo! Research, Barcelona; Antti Ukkonen, Yahoo!
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  rt593 - Locally-Scaled Spectral Clustering using Empty Region Graphs (Session - R28: Clustering) Authors: Session: W-A4: Clustering
  Date-time-venue: 10:30-12:10
  Authors: Carlos Correa*, LLNL; Peter Lindstrom, LLNL
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  rt607 - Active Spectral Clustering via Iterative Uncertainty Reduction (Session - R28: Clustering) Authors: Session: W-A4: Clustering
  Date-time-venue: 10:30-12:10
  Authors: Fabian Wauthier*, UC, Berkeley; Nebojsa Jojic, Microsoft; Michael Jordan, UC Berkeley
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  rt054 - Mining Discriminative Components With Low-Rank And Sparsity Constraints for Face Recognition (Session - R31: Spatial and pattern recognition) Authors: Session: W-B3: Spatial and pattern recognition
  Date-time-venue: 15:00-16:20
  Authors: Qiang Zhang, Arizona State University; Baoxin Li*, Arizona State Univerisity
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  rt569 - Fast Algorithms for Comprehensive N-point Correlation Estimates (Session - R31: Spatial and pattern recognition) Authors: Session: W-B3: Spatial and pattern recognition
  Date-time-venue: 15:00-16:20
  Authors: William March*, Georgia Tech; Andrew Connolly, University of Washington; Alexander Gray, Georgia Tech
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  On One of the Few Objects (Session - R31: Spatial and pattern recognition) Authors: Session: W-B3: Spatial and pattern recognition
  Date-time-venue: 15:00-16:20
  Authors: You Wu*, Duke University; Pankaj Agarwal, Duke University; Chengkai Li, Univ. of Texas at Arlington; Jun Yang, Duke University; Cong Yu, Google Research
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  ap01m - Information Processing in Social Networks (Session - Asia-Pacific Session 3) Authors: To be added
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  idg315 - PatentMiner: Topic-driven Patent Analysis and Mining (Session - Industry/Govt Track A5 : Intelligent Systems) Authors: To be added
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  rt467 - Efficient Frequent Item Counting in Multi-Core Hardware (Session - R30: Patterns) Authors: Session: W-B2: Patterns
  Date-time-venue: 15:00-16:20
  Authors: Pratanu Roy*, ETHZ Zurich; Jens Teubner, ETH Zurich; Gustavo Alonso, ETH Zurich
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KDD 2012 Day 1: Monday

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  rt258 - Efficient Personalized PageRank with Accuracy Assurance (Session - R1: PageRank and social networks) Authors: Session: M-A1: PageRank and social networks
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Yasuhiro Fujiwara*, NTT Cyber Space Lab; Makoto Nakatsuji, NTT Cyber Solutions La; Takeshi Yamamuro, NTT Cyber Space Lab; Hiroaki Shiokawa, NTT Cyber Space Lab; Makoto Onizuka, NTT Cyber Space Lab
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  rt798lt - Information Diffusion and External Influence in Networks (Session - R1: PageRank and social networks) Authors: Session: M-A1: PageRank and social networks
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Seth Myers*, Stanford University; Jure Leskovec, Stanford University; Chenguang Zhu, Stanford University
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  rt934s - The Missing Models: a Data-Driven Approach for Learning How Networks Grow (Session - R1: PageRank and social networks) Authors: Session: M-A1: PageRank and social networks
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Rob Patro, University of Maryland; Geet Duggal, University of Maryland; Emre Sefer, University of Maryland; Hao Wang, University of Maryland; Darya Filippova, University of Maryland; Carl Kingsford*, University of Maryland
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  rt485 - Practical Collapsed Variational Bayes Inference for Hierarchical Dirichlet Process (Session - R3: Probabilistic models) Authors: Session: M-A3: Probabilistic models
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Issei Sato*, University of Tokyo; Kenichi Kurihara, Google; Hiroshi Nakagawa, University of Tokyo
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  rt506 - Overlapping Decomposition for Causal Graphical Modeling (Session - R3: Probabilistic models) Authors: Session: M-A3: Probabilistic models
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Han Lei*, Peking University; Song Guojie, Peking University; Gao Cong, Nanyang Technological University; Xie Kunqing, Peking University
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  rt141 - A Simple Methodology for Soft Cost-sensitive Classification (Session - R4: Supervised learning) Authors: Session: M-A4: Supervised learning
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Te-Kang Jan, Institute of Information Science, Academia Sinica; Da-Wei Wang, Institute of Information Science, Academia Sinica, Taipei, Taiwan; Chi-Hung Lin, Institute of Microbiology and Immunology, National Yang-Ming University; Hsuan-Tien Lin*, Department of Computer Science, National Taiwan University
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  rt782 - Linear Support Vector Machines via Dual Cached Loops (Session - R4: Supervised learning) Authors: Session: M-A4: Supervised learning
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Shin Matsushima*, The University of Tokyo; S. V. N. Vishwanathan, Purdue University; Alex Smola, Yahoo! Research
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  rt456 - Learning from Crowds in the Presence of Schools of Thought (Session - R5: Social opinions) Authors: Session: M-B1: Social opinions
  Date-time-venue: 15:00-16:20 (80 min)
  Authors: Yuandong Tian*, Carnegie Mellon University; Jun Zhu, Tsinghua University
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  rt620 - From User Comments to On-line Conversations (Session - R5: Social opinions) Authors: Session: M-B1: Social opinions
  Date-time-venue: 15:00-16:20 (80 min)
  Authors: Chunyan Wang*, Stanford University; Mao Ye, Social Computing Group, HP Labs, California, USA; bernardo Huberman, Social Computing Group, HP Labs, California, USA
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  rt099 - eTrust: Understanding Trust Evolution in an Online World (Session - R5: Social opinions) Authors: Session: M-B1: Social opinions
  Date-time-venue: 15:00-16:20 (80 min)
  Authors: Jiliang Tang*, ARIZONA STATE UNIVERISTY; Huiji Gao, ARIZONA STATE UNIVERISTY; Huan Liu, ARIZONA STATE UNIVERISTY; Atish Das Sarma, eBay Research Labs
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  rt351s - Fast Bregman Divergence NMF using Taylor Expansion and Coordinate Descent (Session - R7: Matrices and tensors) Authors: Session: M-B3: Matrices and tensors
  Date-time-venue: 15:00-16:20 (80 min)
  Authors: Liangda Li*, Georgia Tech; Guy Lebanon, Georgia Institute of Technology; Haesun Park, Georgia Tech
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  rt580 - Dependency Clustering Across Measurement Scales (Session - R8: Unsupervised learning) Authors: Session: M-B4: Unsupervised learning
  Date-time-venue: 15:00-16:20 (80 min)
  Authors: Claudia Plant*, Florida State University
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  rt301 - Discriminative Clustering for Market Segmentation (Session - R9: Social and web mining applications) Authors: Session: M-C1: Social and web mining applications
  Date-time-venue: 16:40-18:00 (80 min)
  Authors: Peter Haider*, University of Potsdam; Luca Chiarandini, ; Ulf Brefeld,
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  rt558 - Efficient Event Pattern Matching with Match Windows (Session - R10: Event mining) Authors: Session: M-C2: Event mining
  Date-time-venue: 16:40-18:00 (80 min)
  Authors: Bruno Cadonna*, Free University of Bolzano; Johann Gamper, Free University of Bolzano; Michael B?hlen, University of Zurich
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  de1201 - BC-PDM: Data Mining, Social Network Analysis and Text Mining System Based on Cloud Computing (Session - Demonstration Track) Authors: Session: Demo Session
  Date-time-venue: 18:30 - 21:00
  Authors: To be added
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  de1204 - Query-Driven Discovery of Semantically Similar Substructures in Heterogeneous Networks (Session - Demonstration Track) Authors: Session: Demo Session
  Date-time-venue: 18:30 - 21:00
  Authors: To be added
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  de1213 - Visual Exploration of Collaboration Networks based on Graph Degeneracy (Session - Demonstration Track) Authors: Session: Demo Session
  Date-time-venue: 18:30 - 21:00
  Authors: To be added
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  de1219 - D-INDEX: a Web Environment for Analyzing Dependences among Scientific Collaborators (Session - Demonstration Track) Authors: Session: Demo Session
  Date-time-venue: 18:30 - 21:00
  Authors: To be added
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  de1222 - Information Propagation Game: a Tool to Acquire Human Playing Data for MultiPlayer Influence Maximization on Social Networks (Session - Demonstration Track) Authors: Session: Demo Session
  Date-time-venue: 18:30 - 21:00
  Authors: To be added
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  de1225 - MoodLens: An Emoticon-Based Sentiment Analysis System for Chinese Tweets (Session - Demonstration Track) Authors: Session: Demo Session
  Date-time-venue: 18:30 - 21:00
  Authors: To be added
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  de1228 - Intelligent Advertising Framework for Digital Signage (Session - Demonstration Track) Authors: Session: Demo Session
  Date-time-venue: 18:30 - 21:00
  Authors: To be added
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  de1231 - AssocExplorer: An Association Rule Visualization System for Exploratory Data Analysis (Session - Demonstration Track) Authors: Session: Demo Session
  Date-time-venue: 18:30 - 21:00
  Authors: To be added
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  de1234 - GeoSearch: Georeferenced Video Retrieval System (Session - Demonstration Track) Authors: Session: Demo Session
  Date-time-venue: 18:30 - 21:00
  Authors: To be added
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  de1237 - Siren: An Interactive Tool for Mining and Visualizing Geospatial Redescriptions (Session - Demonstration Track) Authors: Session: Demo Session
  Date-time-venue: 18:30 - 21:00
  Authors: To be added
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  de1240 - Navigating Information Facets on Twitter (NIF-T) (Session - Demonstration Track) Authors: Session: Demo Session
  Date-time-venue: 18:30 - 21:00
  Authors: To be added
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  de1249 - A System for Extracting Top-K Lists from the Web (Session - Demonstration Track) Authors: Session: Demo Session
  Date-time-venue: 18:30 - 21:00
  Authors: To be added
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  de1255 - EvaPlanner: An Evacuation Planner with Social-based Flocking Kinetics (Session - Demonstration Track) Authors: Session: Demo Session
  Date-time-venue: 18:30 - 21:00
  Authors: To be added
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  de1258 - PubMed Search and Exploration with Real-Time Semantic Network Construction (Session - Demonstration Track) Authors: Session: Demo Session
  Date-time-venue: 18:30 - 21:00
  Authors: To be added
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  rt880 - Mining Top-K High Utility Itemsets (Session - R2: Pattern mining) Authors: Session: M-A2: Pattern mining
  Date-time-venue: 10:30-12:10 (100 min)
  Authors: Cheng-Wei Wu; Bai-En Shie;Philip Yu;Vincent Tseng
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