Schedule

Dates:

July 24 2010 | July 25 2010 | July 26 2010 | July 27 2010 | July 28 2010

Tracks:

Saturday, July 24 2010


9:00am - 5:00pm		Workshop 1: Mining and Learning with Graphs Workshop 2010 (MLG-2010) Ulf Brefeld, Lise Getoor, Sofus Macskassy -- Jefferson

9:15am - 10:00am		Kernel Methods for Structured Inputs and Outputs Thomas Gärtner -- Jefferson

10:00am - 10:45am		Dynamic Network Analysis: Model, Algorithm, Theory, and Application Eric Xing -- Jefferson

11:15am - 12:00pm		Efficient tools for mining large graphs: Indexing, sampling, counting, and predicting Aristides Gionis -- Jefferson

1:45pm - 2:00pm		Enhancing Link-Based Similarity Through the Use of Non-Numerical Labels and Prior Information Christian Desrosiers, George Karypis -- Jefferson

2:00pm - 2:15pm		Structural Correlation Pattern Mining for Large Graphs Arlei Silva, Wagner Meira Jr., Mohammed J. Zaki -- Jefferson

2:15pm - 2:30pm		Symmetrizations for Clustering Directed Graphs Venu Satuluri, Srinivasan Parthasarathy -- Jefferson

3:00pm - 3:40pm		MLG'10 - Poster slam session -- Jefferson

3:40pm - 6:30pm		MLG'10 - Poster session -- Jefferson

Sunday, July 25 2010


9:00am - 12:00pm		Tutorial 1: Large-scale Data Mining: MapReduce and Beyond Jimeng Sun, Spiros Papadimitriou, Rong Yan -- Regency E
		Tutorial 2: New Developments in the Theory of Clustering Sergei Vassilvitskii, Suresh Venkatasubramanian -- Regency F
		Tutorial 3: Temporal Pattern Mining Fabian Moerchen -- Potomac 5
		Tutorial 4: Learning through Exploration Alina Beygelzimer, John Langford -- Potomac 6
		Tutorial 5: Geometric Tools for Graph Mining of Large Social and Information Networks Michael Mahoney -- Tidewater 2
		Tutorial 8: Mining Web Search and Browse Logs Daxin Jiang, Jian Pei, Hang Li -- Regency F
		Workshop 5: KDD Cup 2010: Improving Cognitive Models with Educational Data Mining (KDD Cup 2010) Alexandru Niculescu-Mizil, John Stamper -- Roosevelt
		Workshop 6: 9th International Workshop on Data Mining in Bioinformatics (BIOKDD10) Jun (Luke) Huan, Jake Y. Chen, Mohammed Zaki -- Lincoln
		Workshop 7: Tenth International Workshop on Multimedia Data Mining (MDMKDD 2010) Jia-Yu (Tim) Pan, Valery Petrushin, Cees G.M. Snoek -- Arlington
		Workshop 8: The Fourth International Workshop on Data Mining and Audience Intelligence for Online Advertising (ADKDD'10) Ying Li, Dou Shen -- Prince William
		Workshop 9: Human Computation Workshop (HCOMP 2010) Raman Chandrasekar, Ed Chi, Max Chickering, Panagiotis G Ipeirotis, Winter Mason, Foster Provost, Jenn Tam, Luis von Ahn -- Fairfax

9:00am - 5:00pm		Workshop 1: Mining and Learning with Graphs Workshop 2010 (MLG-2010) Ulf Brefeld, Lise Getoor, Sofus Macskassy -- Potomac 1
		Workshop 2: Large-scale Data Mining: Theory and Applications (LDMTA-2010) Christos Falutosos, Robert Grossman, Jiawei Han -- Potomac 2
		Workshop 3: Useful Patterns (UP) Bart Goethals, Nikolaj Tatti, Jilles Vreeken -- Potomac 3
		Workshop 4: Social Media Analytics (SOMA 2010) Jure Leskovec, Foster Provost, Prem Melville -- Potomac 4

10:00am - 10:30am		Coffee Break -- AV Wall

12:00pm - 2:00pm		Lunch (on your own)

2:00pm - 5:00pm		Tutorial 6: Privacy-aware Data Mining in Information Networks Kun Liu, Gerome Miklau, Jian Pei, Evimaria Terzi -- Kennedy
		Tutorial 7: Introduction to Graphical Models for Data Mining Arindam Banerjee -- Regency E
		Tutorial 9: Mining Heterogeneous Information Networks Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu -- Potomac 5
		Tutorial 10: Outlier Detection Techniques Hans-Peter Kriegel, Peer Kröger, Arthur Zimek -- Potomac 6
		Tutorial 11: Recommender Problems for Web Applications Deepak Agarwal, Bee-Chung Chen -- Tidewater 2
		Tutorial 12: Indexing and Mining Time Sequences Christos Faloutsos, Lei Li -- Kennedy
		Workshop 10: Intelligence and Security Informatics (ISI-KDD) Hsinchun Chen, Christopher Yang -- Roosevelt
		Workshop 11: The 4th International Workshop on Knowledge Discovery from Sensor Data (SensorKDD) Olufemi Omitaomu, Auroop Ganguly, Joao Gama, Ranga Raju Vatsavai, Mohamed Medhat Gaber, Nitesh Chawla -- Lincoln
		Workshop 12: The 4th SNA-KDD Workshop on Social Network Mining and Analysis (SNAKDD 2010) Haizheng Zhang, Lee Giles, John Yen, Qiankun Zhao, Sherief Abdallah -- Arlington
		Workshop 13: Novel Data Stream Pattern Mining Techniques (StreamKDD) Margaret Dunham, Michael Hahsler, Myra Spiliopoulou -- Prince William
		Workshop 14: Discovering, Summarizing and Using Multiple Clusterings (MultiClust) Xiaoli Fern, Ian Davidson, Jennifer Dy -- Fairfax

3:00pm - 3:30pm		Coffee Break -- AV Wall

5:00pm - 6:00pm		Coffee Break -- AV Wall

6:00pm - 6:15pm		Opening Remarks -- Regency EF CTR

6:15pm - 6:45pm		Award Presentations -- Regency EF CTR

6:45pm - 7:45pm		Innovation Award Talk Christos Faloutsos -- Regency EF CTR

Monday, July 26 2010


7:30am - 9:00am		Continental Breakfast -- AV Wall

9:00am - 10:00am		Data Mining in the Online Services Industry Qi Lu -- Regency EF CTR

10:00am - 10:30am		Coffee Break -- AV Wall

10:29am - 12:00pm		R01: Link and Click Prediction - Session Chair Hui Xiong -- Regency E
		R02: Frequent Itemsets - Session Chair Goethals Bart -- Regency F
		R03: Feature Selection - Session Chair Alexandru Niculescu-Mizil -- Independence Center A
		R04: Privacy-sensitive Algorithms - Session Chair Dou Shen -- Potomac 3+4

10:30am - 10:50am		Grafting-Light: Fast, Incremental Feature Selection and Structure Learning of Markov Random Fields Jun Zhu, Ni Lao, Eric P. Xing -- Independence Center A
		Mining Advisor-Advisee Relationships from Research Publication Networks Chi Wang, Jiawei Han, Yuntao Jia, Jie Tang, Duo Zhang, Yintao Yu, Jingyi Guo -- Regency E
		UP-Growth: An Efficient Algorithm for High Utility Itemset Mining Vincent S. Tseng, Cheng-Wei Wu, Bai-En Shie, Philip S. Yu -- Regency F
		Versatile Publishing For Privacy Preservation Xin Jin, Mingyang Zhang, Nan Zhang, Gautam Das -- Potomac 3+4

10:30am - 11:00am		Mining Medical Data to Improve Patient Outcomes Balaji Krishnapuram, Murat Dundar, R Bharat Rao -- Roosevelt

10:50am - 11:10am		A Scalable Two-Stage Approach for a Class of Dimensionality Reduction Techniques Liang Sun, Betul Ceran, Jieping Ye -- Independence Center A
		Estimating Rates of Rare Events with Multiple Hierarchies through Scalable Log-linear Models Deepak Agarwal, Rahul Agrawal, Rajiv Khanna, Nagaraj Kota -- Regency E
		Frequent Regular Itemset Mining Salvatore Ruggieri -- Regency F
		Privacy-Preserving Outsourcing Support Vector Machines with Random Transformation Keng-Pei Lin, Ming-Syan Chen -- Potomac 3+4

11:00am - 11:30am		Interactive Data Mining and Its Business Applications Rayid Ghani -- Roosevelt

11:10am - 11:30am		An Efficient Algorithm for a Class of Fused Lasso Problems Jun Liu, Lei Yuan, Jieping Ye -- Independence Center A
		Mining Uncertain Data with Probabilistic Guarantees Liwen Sun, Reynold Cheng, David W. Cheung, Jiefeng Cheng -- Regency F
		On the Quality of Inferring Interests From Social Neighbors Zhen Wen, Ching-Yung Lin -- Potomac 3+4
		User Browsing Models: Relevance versus Examination Ramakrishnan Srikant, Sugato Basu, Ni Wang, Daryl Pregibon -- Regency E

11:30am - 11:50am		DUST: A Generalized Notion of Similarity between Uncertain Time Series Smruti R Sarangi, Karin Murthy -- Potomac 3+4
		Mining Top-K Frequent Items in a Data Stream with Flexible Sliding Windows Hoang Thanh Lam, Toon Calders -- Regency F
		Suggesting Friends Using the Implicit Social Graph Maayan Roth, Assaf Ben-David, David Deutscher, Guy Flysher, Ilan Horn, Ari Leichtberg, Naty Leiser, Yossi Matias, Ron Merom -- Regency E
		Unsupervised Feature Selection for Multi-Cluster Data Deng Cai, Chiyuan Zhang, Xiaofei He -- Independence Center A

11:30am - 12:00pm		Modeling with Networked Data Francoise Fogelman-Soulie -- Roosevelt

11:40am - 11:50am		Cold Start Link Prediction Vincent Leroy, B. Barla Cambazoglu, Francesco Bonchi -- Potomac 3+4

11:50am - 12:00pm		Feature Selection for Support Vector Regression Using Probabilistic Prediction Jian-Bo Yang, Chong-Jin Ong -- Independence Center A
		New Perspectives and Methods in Link Prediction Ryan N. Lichtenwalter, Jake T. Lussier, Nitesh V. Chawla -- Regency E
		Probably the Best Itemsets Nikolaj Tatti -- Regency F

12:40pm - 1:50pm		Conference Lunch -- Independence Center A

1:00pm - 1:20pm		KDD Cup Awards Presentation (at Conference Lunch) -- Independence Center A

1:20pm - 1:50pm		Doctoral Disseration Award talks (at Conference Lunch) Mohammad Hasan, Jilles Vreeken -- Independence Center A

1:29pm - 3:30pm		R08: Graph Algorithms - Session Chair Tina Eliassi-Rad -- Potomac 3+4

1:59pm - 3:30pm		R05: Classification Models and Tools - Sesssion Chair Gregory Piatetsky-Shapiro -- Regency E
		R06: Bioinformatics - Session Jieping Ye -- Regency F

2:00pm - 2:20pm		Discovering Precursors to Aviation Safety Incidents: from Massive Data to Actionable Information Ashok Srivastava -- Roosevelt
		Discovering Significant Relaxed Order-Preserving Submatrices Fang Qiong, Ng Wilfred, Feng Jianlin -- Regency F
		Fast Nearest-neighbor Search in Disk-resident Graphs Purnamrita Sarkar, Andrew W. Moore -- Potomac 3+4
		Learning with Cost Intervals Xu-Ying Liu, Zhi-Hua Zhou -- Regency E

2:00pm - 3:30pm		R07: Privacy-sensitive mining - Session Chair Martin Ester -- Independence Center A

2:01pm - 2:20pm		k-Support Anonymity Based on Pseudo Taxonomy for Outsourcing of Frequent Itemset Mining Chih-Hua Tai, Philip S. Yu, Ming-Syan Chen -- Independence Center A

2:20pm - 2:40pm		Balanced Allocation with Succinct Representation Saeed Alaei, Ravi Kumar, Azarakhsh Malekian, Erik Vee -- Potomac 3+4
		Collusion-Resistant Privacy-Preserving Data Mining Bin Yang, Hiroshi Nakagawa, Issei Sato, Jun Sakuma -- Independence Center A
		The New Iris Data : Modular Data Generators Iris Adä, Michael R. Berthold -- Regency E
		Topic Dynamics: An Alternative Model of Bursts" in Streams of Topics" Dan He, D. Stott Parker -- Regency F

2:25pm - 2:45pm		What's in your (customer's) wallet? Claudia Perlich -- Roosevelt

2:40pm - 3:00pm		Data Mining with Differential Privacy Arik Friedman, Assaf Schuster -- Independence Center A
		Extracting Temporal Signatures for Comprehending Systems Biology Models Naren Sundaravaradan, K. S. M. Tozammel Hossain, Vandana Sreedharan, Douglas J Slotta, John Paul C Vergara, Lenwood S Heath, Naren Ramakrishnan -- Regency F
		Neighbor Query Friendly Compression of Social Networks Hossein Maserrat, Jian Pei -- Potomac 3+4
		Why Label when you can Search? Alternatives to Active Learning for Applying Human Resources to Build Classification Models Under Extreme Class Imbalance Josh Attenberg, Foster Provost -- Regency E

2:45pm - 3:05pm		Text Mining to Fast-Track Deserving Disability Applicants John Elder -- Roosevelt

3:00pm - 3:20pm		Discovering Frequent Patterns in Sensitive Data Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhradeep Thakurta -- Independence Center A
		Negative Correlations in Collaboration:Concepts and Algorithms Jinyan Li, Qian Liu, Tao Zeng -- Regency F

3:05pm - 3:25pm		(Privacy-friendly!) Social Network Targeting for On-line Advertising Foster Provost -- Roosevelt

3:10pm - 3:10pm		Parallel SimRank Computation on Large Graphs with Iterative Aggregation Guoming He, Haijun Feng, Cuiping Li, Hong Chen -- Potomac 3+4

3:10pm - 3:20pm		Dynamics of Conversations Ravi Kumar, Mohammad Mahdian, Mary McGlohon -- Potomac 3+4

3:35pm - 4:00pm		Coffee Break -- AV Wall

3:59pm - 5:30pm		I/G1: Advertising, Transportation - Session Chair Ying Li -- Independence Center A
		R09: Clustering - Session Chair Murat Dundar -- Regency E
		R10: Graph Mining and Classification - Session Chair Jian Pei -- Regency F
		R11: Topic Modeling - Session Chair Gabor Melli

4:00pm - 4:20pm		Discriminative Topic Modeling based on Manifold Learning Seungil Huh, Stephen E Fienberg -- Potomac 3+4
		Evaluating Online Ad Campaigns in a Pipeline: Causal Models At Scale David Chan, Rong Ge, Ori Gershony, Tim Hesterberg, Diane Lambert -- Independence Center A
		Fast Euclidean Minimum Spanning Tree: Algorithm, Analysis, and Applications William B March, Parikshit Ram, Alexander G Gray -- Regency F
		Flexible Constrained Spectral Clustering Xiang Wang, Ian Davidson -- Regency E

4:20pm - 4:40pm		A Hierarchical Information Theoretic Technique for the Discovery of Non Linear Alternative Clusterings Xuan-Hong Dang, James Bailey -- Regency E
		Mining Program Workflow from Interleaved Traces Jian-Guang LOU, Qiang FU, Shengqi YANG, Jiang LI, Bin WU -- Regency F
		Online Multiscale Dynamic Topic Models Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, naonori ueda -- Potomac 3+4
		Overlapping Experiment Infrastructure: More, Better, Faster Experimentation (KDD-2010 Best Application Paper Honorable Mention) Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike Meyer -- Independence Center A

4:30pm - 4:40pm		Exploitation and Exploration in a Performance based Contextual Advertising System Wei Li, Xuerui Wang, Ruofei Zhang, Ying Cui, Jianchang Mao, Rong Jin -- Independence Center A

4:40pm - 5:00pm		Clustering by Synchronization Christian Boehm, Claudia Plant, Junming Shao, Qinli Yang -- Regency E
		Connecting the Dots Between News Articles (KDD-2010 Best Research Paper: Innovative Contribution) Dafna Shahaf, Carlos Guestrin -- Regency F
		MineFleet®*: An Overview of a Widely Adopted Distributed Vehicle Performance Data Mining System Hillol Kargupta, Kakali Sarkar, Michael Gilligan -- Independence Center A
		Topic Models with Power-Law Using Pitman-Yor Process Issei Sato, Hiroshi Nakagawa -- Potomac 3+4

5:00pm - 5:10pm		Discovering Frequent Subgraphs over Uncertain Graph Databases under Probabilistic Semantics Zhaonian Zou, Hong Gao, Jianzhong Li -- Regency F
		Multiple Kernel Learning for Heterogeneous Anomaly Detection: Algorithm and Aviation Safety Case Study Santanu Das, Bryan L. Matthews, Ashok N. Srivastava, Nikunj C. Oza -- Independence Center A

5:00pm - 5:20pm		The Topic-Perspective Model for Social Tagging Systems Caimei Lu, Xiaohua Hu, Xin Chen, Jung-Ran Park, Tingting He, Zhoujun Li -- Potomac 3+4
		Unifying Dependent Clustering and Disparate Clustering for Non-homogeneous Data M. Shahriar Hossain, Satish Tadepalli, Layne T. Watson, Ian Davidson, Richard F. Helm, Naren Ramakrishnan -- Regency E

5:10pm - 5:20pm		Boosting with Structure Information in the Functional Space: an Application to Graph Classification Hongliang Fei, Jun Huan -- Regency F

5:30pm - 7:30pm		Poster Reception I -- Independence Center A

8:00pm - 9:30pm		Dinner -- Independence Center A

Tuesday, July 27 2010


7:30am - 9:00am		Continental Breakfast -- AV Wall

9:00am - 10:00am		Computational Social Science David Jensen -- Regency EF CTR

10:00am - 10:30am		Coffee Break -- AV Wall

10:30am - 10:50am		Combining Predictions for Accurate Recommender Systems Michael Jahrer, Andreas Töscher, Robert Legenstein -- Regency E
		Discovery of Significant Emerging Trends Saurabh Goorha, Lyle Ungar -- Potomac 3+4
		Learning to Combine Discriminative Classifiers Chi-Hoon Lee -- Regency F
		Semi-supervised Feature Selection for Graph Classification Xiangnan Kong, Philip S. Yu -- Independence Center A

10:50am - 11:10am		Data Mining to Predict and Prevent Errors in Health Insurance Claims Processing Mohit Kumar, Rayid Ghani, Zhu-Song Mei -- Potomac 3+4
		Fast Online Learning through Offline Initialization for Time-sensitive Recommendation Deepak Agarwal, Bee-Chung Chen, Pradheep Elango -- Regency E
		Mining Positive and Negative Patterns for Relevance Feature Discovery Yuefeng Li, Abdulmohsen Algarni, Ning Zhong -- Regency F
		Modeling Relational Events via Latent Classes Christopher DuBois, Padhraic Smyth -- Independence Center A

11:10am - 11:30am		Document Clustering via Dirichlet Process Mixture Model with Feature Selection Guan Yu, Ruizhang Huang, Zhaojun Wang -- Regency F
		On Community Outliers and their Efficient Detection in Information Networks Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Sun, Jiawei Han -- Independence Center A
		Optimizing Debt Collections Using Constrained Reinforcement Learning (KDD-2010 Best Application Paper) Naoki Abe, Prem Melville, Cezar Pendus, Chandan K Reddy, David L Jensen, Vince P Thomas, James J Bennett, Gary F Anderson, Brent R Cooley, Melissa Kowalczyk, Mark Domick, Timothy Gardinier -- Potomac 3+4
		Training and Testing of Recommender Systems on Data Missing Not at Random Harald Steck -- Regency E

11:30am - 11:40am		Detecting Abnormal Coupled Sequences and Sequence Changes in Group-based Manipulative Trading Behaviors Longbing Cao, yuming ou, Philip S Yu, gang Wei -- Potomac 3+4
		Semantic Relation Extraction With Kernels Over Typed Dependency Trees Frank Reichartz, Hannes Korte, Gerhard Paass -- Regency F
		Temporal Recommendation on Graphs via Long- and Short-term Preference Fusion Liang Xiang, Quan Yuan, Shiwan Zhao, Li Chen, Xiatian Zhang, Qing Yang, Jimeng Sun -- Regency E

11:30am - 11:50am		Redefining Class Definitions using Constraint-Based Clustering : An Application to Remote Sensing of the Earth's Surface Dan R Preston, Carla E Brodley, Roni Khardon, Damien Sulla-Menashe, Mark Friedl -- Independence Center A

11:40am - 11:50am		Generative Models for Ticket Resolution in Expert Networks Gengxin Miao, Louise E. Moser, Xifeng Yan, Shu Tao, Yi Chen, Nikos Anerousis -- Regency E
		Latent Aspect Rating Analysis on Review Text Data: A Rating Regression Approach Hongning Wang, Yue Lu, Chengxiang Zhai -- Regency F

12:30pm - 1:30pm		SIGKDD Business Lunch -- Independence Center A

1:30pm - 2:00pm		Invited Talk (at SIGKDD Business Lunch) -- Independence Center A

2:35pm - 2:55pm		Fast Query Execution for Retrieval Models Based on Path-Constrained Random Walks Ni Lao, William W. Cohen -- Regency F
		Large Linear Classification When Data Cannot Fit In Memory (KDD-2010 Best Research Paper: Technical Contribution) Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin -- Regency E
		PET: A Statistical Model for Popular Events Tracking in Social Communities Cindy Xide Lin, Bo Zhao, Qiaozhu Mei, Jiawei Han -- Independence Center A

2:45pm - 4:05pm		The Next Generation of Transportation Systems,Greenhouse Emissions, and Data Mining Ashok Srivastava, Ramasamy Uthurusamy, Eugene Tierney, Hillol Kargupta -- Potomac 3+4

2:55pm - 3:15pm		Class-Specific Error Bounds for Ensemble Classifiers Ryan J Prenger, Tracy D Lemmond, Kush R Varshney, Barry Y Chen, William G Hanley -- Regency E
		The community-search problem and how to plan a successful cocktail party Mauro Sozio, Aristides Gionis -- Independence Center A
		Trust Network Inference for Online Rating Data Using Generative Models Freddy Chong Tat Chua, Ee-Peng Lim -- Regency F

3:15pm - 3:30pm		An Energy-Efficient Mobile Recommender System Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao, Marco Gruteser, Michael Pazzani -- Regency F

3:15pm - 3:35pm		Designing Efficient Cascaded Classifiers: Tradeoff between Accuracy and Cost Vikas C Raykar, Balaji Krishnapuram, Shipeng Yu -- Regency E
		Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata Anon Plangprasopchok, Kristina Lerman, Lise Getoor -- Independence Center A

3:35pm - 3:45pm		A Probabilistic Model for Personalized Tag Prediction Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. Davison -- Independence Center A
		Direct Mining of Discriminative Patterns for Classifying Uncertain Data Chuancong Gao, Jianyong Wang -- Regency E
		Mixture Models for Learning Low-dimensional Roles in High-dimensional Data Manas Somaiya, Christopher Jermaine, Sanjay Ranka -- Regency F

3:45pm - 3:55pm		BioSnowball: Automated Population of Wikis Xiaojiang Liu, Zaiqing Nie, Nenghai Yu, Ji-Rong Wen -- Independence Center A
		Ensemble Pruning via Individual Contribution Ordering zhenyu lu, Xindong Wu, Xingquan Zhu, Josh Bongard -- Regency E
		Towards Mobility-based Clustering Siyuan Liu, Yunhuai Liu, Lionel M. Ni, Jianping Fan, Minglu Li -- Regency F

4:05pm - 4:25pm		Coffee Break -- AV Wall

4:25pm - 4:45pm		Automatic Malware Categorization Using Cluster Ensemble Yanfang Ye, Tao Li, Yong Chen -- Independence Center A
		Combined Regression and Ranking D. Sculley -- Regency E
		Inferring Networks of Diffusion and Influence Manuel Gomez Rodriguez, Jure Leskovec, Andreas Krause -- Regency F

4:45pm - 4:55pm		Beyond Heuristics: Learning to Classify Vulnerabilities and Predict Exploits Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker -- Independence Center A

4:45pm - 5:05pm		Mass Estimation and Its Applications Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu, James Swee Chuan Tan -- Regency E
		Scalable Influence Maximization for Prevalent Viral Marketing in Large-Scale Social Networks Wei Chen, Chi Wang, Yajun Wang -- Regency F

4:55pm - 5:05pm		Diagnosing Memory Leaks using Graph Mining on Heap Dumps Evan K Maxwell, Godmar Back, Naren Ramakrishnan -- Independence Center A

5:05pm - 5:15pm		Community-based Greedy Algorithm for Mining Top-K Influential Nodes in Mobile Social Networks Yu Wang, Gao Cong, Guojie Song, Kunqing Xie -- Regency F

5:05pm - 5:25pm		Multi-Label Learning by Exploiting Label Dependency Min-Ling Zhang, Kun Zhang -- Regency E
		Using Data Mining Techniques to Address Critical Information Exchange Needs in Disaster Affected Public-Private Networks Li Zheng, Chao Shen, Liang Tang, Tao Li, Steve Luis, Shu-Ching Chen, Vagelis Hristidis -- Independence Center A

5:15pm - 5:25pm		DivRank: the Interplay of Prestige and Diversity in Information Networks Qiaozhu Mei, Jian Guo, Dragomir Radev -- Regency E
		Social Action Tracking via Noise Tolerant Time-varying Factor Graphs Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengjiao Wang -- Regency F

5:25pm - 5:35pm		Finding Effectors in Social Networks Theodoros Lappas, Evimaria Terzi, Dimitrios Gunopulos, Heikki Mannila -- Regency F
		Tropical Cyclone Event Sequence Similarity Search via Dimensionality Reduction and Metric Learning Shen-Shyang Ho, Wenqing Tang, W. Timothy Liu -- Independence Center A

5:45pm - 6:30pm		SIGKDD Transfer Meeting (KDD-2010 and 2011 organizers only)

6:00pm - 8:00pm		Poster Reception II -- Independence Center B

7:15pm - 9:30pm		Senior PC & Organizers Dinner (by invitation only)

Wednesday, July 28 2010


7:30am - 9:00am		Continental Breakfast -- AV Wall

9:00am - 10:00am		The quantification of advertising and lessons from building a business based on large scale data mining Konrad Feldman -- Regency EF CTR

10:00am - 10:30am		Coffee Break -- AV Wall

10:30am - 10:50am		An Efficient Causal Discovery Algorithm for Linear Models Zhenxing Wang, Laiwan Chan -- Regency F
		GLS-SOD: A Generalized Local Statistical Approach for Spatial Outlier Detection Feng Chen, Chang-Tien Lu, Boedihardjo Arnold P. -- Regency E
		MalStone: Towards a Benchmark for Analytics on Large Data Clouds Collin Bennett, Robert L Grossman, David Locke, Jonathan Seidman, Steve Vejcik -- Independence Center A
		Unsupervised Transfer Classification: Application to Text Categorization Tianbao Yang, Rong Jin, Anil K. Jain, Yang Zhou, Wei Tong -- Potomac 3+4

10:50am - 11:10am		Compressed Fisher Linear Discriminant Analysis: Classification of Randomly Projected Data Robert J. Durrant, Ata Kaban -- Regency F
		Evolutionary Hierarchical Dirichlet Processes for Multiple Correlated Time-varying Corpora Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shixia Liu -- Regency E
		Nonnegative Shared Subspace Learning and Its Application to Social Media Retrieval Sunil Kumar Gupta, Dinh Phung, Brett Adams, Truyen Tran, Svetha Venkatesh -- Potomac 3+4
		TIARA: A Visual Exploratory Text Analytic System Furu Wei, Shixia Liu, Yangqiu Song, Shimei Pan, Michelle X. Zhou, Weihong Qian, Lei Shi, Li Tan, Qiang Zhang -- Independence Center A

11:10am - 11:30am		Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks Jianhui Chen, Ji Liu, Jieping Ye -- Potomac 3+4
		Metric Forensics: A Multi-Level Approach for Mining Volatile Graphs Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong -- Independence Center A
		Online Discovery and Maintenance of Time Series Motifs Abdullah Mueen, Eamonn Keogh -- Regency E
		Scalable Similarity Search with Optimized Kernel Hashing Junfeng He, Wei Liu, Shih-Fu Chang -- Regency F

11:30am - 11:40am		Active Learning for Biomedical Citation Screening Byron C Wallace, Kevin Small, Carla E Brodley, Thomas A Trikalinos -- Independence Center A

11:30am - 11:50am		Mining Periodic Behaviors for Moving Objects Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, Peter Nye -- Regency E
		Multi-Task Learning for Boosting with Application to Web Search Ranking Olivier Chapelle, Pannagadatta Shivaswamy, Srinivas Vadrevu, Kilian Weinberger, Ya Zhang, Belle Tseng -- Potomac 3+4
		Semi-Supervised Sparse Metric Learning Using Alternating Linearization Optimization Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, Peng Liu -- Regency F

11:40am - 11:50am		An integrated machine learning approach to stroke prediction Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Kuang Chiu, Junling Hu, Honglak Lee -- Independence Center A

11:50am - 12:00pm		Medical Coding Classification by Leveraging Inter-Code Relationships Yan Yan, Glenn Fung, Romer Rosales, Jennifer G. Dy -- Independence Center A
		Transfer Metric Learning by Learning Task Relationships Yu Zhang, Dit-Yan Yeung -- Potomac 3+4
		Universal Multi-Dimensional Scaling Arvind Agarwal, Jeff M Phillips, Suresh Venkatasubramanian -- Regency F

12:10pm - 12:30pm		Closing Remarks -- Regency EF CTR