The Twelfth Annual SIGKDD International Conference on
Knowledge Discovery and Data Mining
August 20 - 23, 2006
Philadelphia, USA
http://www.acm.org/sigs/sigkdd/kdd2006/
http://www.kdd2006.com
FULL PAPERS A General Framework for Fast and Accurate Regression by Data Summarization in Random Decision Trees Wei Fan, Joe McCloskey, Philip Yu
A New Efficient Probabilistic Model for Mining Labeled Ordered Trees Kosuke Hashimoto, Kiyoko Aoki-Kinoshita, Nobuhisa Ueda, Minoru Kanehisa, Hiroshi Mamitsuka
Acclimatizing Taxonomic Semantics for Hierarchical Content Classification Lei Tang, Jianping Zhang, Huan Liu
Adaptive Event Detection using Time-Varying Poisson Processes Alexander Ihler, Jon Hutchins, Padhraic Smyth
Aggregating Time Partitions Taneli Mielikainen, Evimaria Terzi, Panayiotis Tsaparas
Anonymization for Sequential Releases Ke Wang, Benjamin C. M. Fung
Assessing data mining results via swap randomization Aris Gionis, Heikki Mannila, Taneli Mielikainen, Panayiotis Tsaparas
Simultaneous Record Detection and Attribute Labeling in Web Data Extraction Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma
Spatial Scan Statistics: Approximations and Performance Study Deepak Agarwal, Andrew McGregor, Jeff Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu
Supervised Probabilistic Principal Component Analysis Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu
Tensor-CUR Decompositions For Tensor-Based Data Michael Mahoney, Mauro Maggioni, Petros Drineas
Topics over Time: A Non-Markov Continuous-Time Model of Topical Trends Xuerui Wang, Andrew McCallum
Training Linear SVMs in Linear Time Thorsten Joachims
Unsupervised Learning on K-partite Graphs Bo Long, Xiaoyun Wu, Zhongfei Zhang, Philip Yu
Using Structure Indices For Efficient Approximation of Network Properties Matthew Rattigan, Marc Maier, David Jensen
Very Sparse Random Projections Ping Li, Trevor Hastie, Kenneth Church
Workload-Aware Anonymization Kristen LeFevre, David DeWitt, Raghu Ramakrishnan
POSTER PAPERS (alpha, k)-Anonymity: An Enhanced k-Anonymity Model for Privacy-Preserving Data Publishing Raymond Chi-Wing Wong, Jiuyong Li, Ada Fu, Ke Wang
A Framework for Analysis of Dynamic Social Networks Tanya Berger-Wolf, Jared Saia
A Large-Scale Analysis of Query Logs for Assessing Personalization Opportunities Steve Wedig, Omid Madani
A Mixture Model for Contextual Text Mining Qiaozhu Mei, ChengXiang Zhai
A New Multi-View Regression Method with an Application to Customer Wallet Estimation Srujana Merugu, Saharon Rosset, Claudia Perlich
Algorithms for discovering bucket orders from data Aris Gionis, Heikki Mannila, Kai Puolamaki, Antti Ukkonen
Algorithms for Storytelling Deept Kumar, Naren Ramakrishnan, Richard Helm, Malcolm Potts
Algorithms for time series knowledge mining Fabian Morchen
Attack Detection in Time Series for Recommendation Systems Sheng Zhang, Amit Chakrabarti, James Ford, Fillia Makedon
Automatic Mining of Fruit Fly Embryo Images Jia-Yu Pan, Andre Balan, Eric P. Xing, Agma Juci Machado Traina, Christos Faloutsos
Bias and Controversy: Beyond the Statistical Deviation Hady W. Lauw, Ee-Peng Lim, Ke Wang
BLOSOM: A Framework for Mining Boolean Expressions Lizhuang Zhao, Mohammed Zaki, Naren Ramakrishnan
CCCS: A Top-down Associative Classifier for Imbalanced Class Distribution Bavani Arunasalam, Sanjay Chawla
CFI-Stream: Mining Closed Frequent Itemsets in Data Streams Nan Jiang, Le Gruenwald
Classification Features for Attack Detection in Collaborative Recommender Systems Robin Burke, Bamshad Mobasher, Chad Williams, Runa Bhaumik
Clustering Based Large Margin Classification: A Scalable Approach using SOCP Formulation Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty
Clustering Pair-wise Dissimilarity Data into Partially Ordered Sets Jinze Liu, Qi Zhang, Wei Wang, Mcmillan Leonard, Jan Prins
Coherent Closed Quasi-Clique Discovery from Large Dense Graph Databases Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Karypis
Combining Linguistic and Statistical Analysis to Extract Relations from Web Documents Fabian Suchanek, Georgiana Ifrim, Gerhard Weikum
Cryptographically Private Support Vector Machines Sven Laur, Helger Lipmaa, Taneli Mielikainen
Discovering Interesting Patterns Through User's Interactive Feedback Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han
Dynamic, Real-time Forecasting of Online Auctions via Functional Models Wolfgang Jank, Galit Shmueli, Shanshan Wang
Efficient Kernel Feature Extraction for Massive Data Sets Ivor W. Tsang, Andras Kocsor, James T. Kwok
Efficient Multidimensional Data Representations Based on Multiple Correspondence Analysis Riadh Ben Messaoud, Omar Boussaid, Sabine Loudcher Rabaseda
Evolutionary Clustering Deepayan Chakrabarti, Ravi Kumar, Andrew Tomkins
Incremental Approximate Matrix Factorization for Speeding up Support Vector Machines Gang Wu, Edward Y. Chang, Yen-Kuang Chen, Christoper Hughes
Integration of Semantic-based Bipartite Graph Representation and Mutual Refinement Strategy for Biomedical Literature Clustering Illhoi Yoo, Xiaohua Hu, Il-Yeol Song
K-means Clustering versus Validation Measures: A Data Distribution Perspective Hui Xiong, Junjie Wu, Jian Chen
Linear Prediction Models with Graph Regularization for Web-page Categorization Tong Zhang, Alexandrin Popescul, Byron Dom
Mining for Misconfigured Machines in Grid Systems Noam Palatin, Assaf Schuster, Ran Wolff
Mining long-term search history to improve search accuracy Bin Tan, Xuehua Shen, ChengXiang Zhai
Mining Progressive Confident Rules Minghua Zhang, Wynne Hsu, Mong Li Lee
Mining Relational Data through Correlation-based Multiple View Validation Hongyu Guo, Herna L. Viktor
Model Compression: Making Big, Slow Models Practical Cristian Bucila, Rich Caruana, Alexandru Niculescu-Mizil
KDD 2006 August 20 - 23, 2006 Philadelphia, USA
