The program for 2009 SIAM International Conference on Data Mining (SDM 09) will be posted in February 2009. For more information about the conference, please visit the conference website.

Accepted for oral presentation

A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong and Rong Jin

A Family of Large Margin Linear Classifiers and Its Applications to Feature-changing Problems
Jianqiang Shen and Thomas Dietterich

A Framework for Exploring Categorical Data
Varun Chandola, Shyam Boriah and Vipin Kumar

Adaptive Concept Drift Detection
Anton Dries and Ulrich Rückert

AMORI: A Metric-based One Rule Inducer
Niklas Lavesson and Paul Davidsson

An Anyspace Indexing Algorithm with Applications to Sensor Data Mining
Lexiang Ye, Xiaoyue Wang, Eamonn Keogh and Agenor Mafra-Neto

Application of Bayesian Partition Models in Warranty Data Analysis
Markus Mueller, Christoph Schlieder and Axel Blumenstock

Bayesian Cluster Ensembles
Hongjun Wang, Hanhuai Shan and Arindam Banerjee

Constraint-based Subspace Clustering
Elisa Fromont, Adriana Prado and Celine Robardet

Content-based Social Network Exploration Through Multi-way Visual Analysis
Jimeng Sun, Spiros Papadimitriou, Ching-Yung Lin, Nan Cao, Shixia Liu and Weihong Qian

CORE: Nonparametric Clustering of Large Numeric Databases
Andrej Taliun, Michael Böhlen and Arturas Mazeika

DensEst: Density Estimation for Data Mining in High Dimensional Spaces
Emmanuel Müller, Ira Assent, Ralph Krieger, Stephan Günnemann and Thomas Seidl

Detecting Communities in Social Networks using Max-Min Modularity
Jiyang Chen, Osmar Zaiane and Randy Goebel

Discovering Substantial Distinctions among Incremental Bi-Clusters
Faris Alqadah and Raj Bhatnagar

Discretized Spatio-Temporal Scan Window
Seyed H. Mohammadi, Vandana P. Janeja and Aryya Gangopadhyay

Efficient Active Learning with Boosting
Zheng Wang, Yangqiu Song and Changshui Zhang

Efficient Computation of Partial-Support for Mining Interesting Itemsets
Ardian Kristanto Poernomo and Vivekanand Gopalkrishnan

Efficient Discovery of Interesting Patterns Based on Strong Closedness
Mario Boley, Tamas Horvath and Stefan Wrobel

Efficient Multiplicative updates for Support Vector Machines
Vamsi Potluru, Sergey Plis, Morten Morup, Vince Calhoun and Terran Lane

Event Discovery in Time Series
Dan Preston, Pavlos Protopapas and Carla Brodley

Finding links and initiators: a graph reconstruction problem
Heikki Mannila and Evimaria Terzi

FuncICA for Time Series Pattern Discovery
Nishant Mehta and Alexander Gray

GAD: General Activity Detection for Fast Clustering on Large Data
Xin Jin, Sangkyum Kim, Jiawei Han, Liangliang Cao and Zhijun Yin

Grammar Mining
Siegfried Nijssen and Luc De Raedt

Graph Generation with Prescribed Feature Constraints
Xiaowei Ying and Xintao Wu

Hierarchical Linear Discriminant Analysis for Beamforming
Jaegul Choo, Barry L. Drake and Haesun Park

High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic
Arifa Nisar, Waseem Ahmad, Wei-keng Liao and Alok Choudhary

Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets
Xinhai Liu, Shi Yu, Yves Moreau, Bart De Moor, Wolfgang Glänzel and Frizo Janssens

Identifying Unsafe Routes for Network-Based Trajectory Privacy
Aris Gkoulalas-Divanis, Vassilios Verykios and Mohamed Mokbel

Improved Mean-Shift Clustering via Query Set Compression
Xiaotong Yuan, Ran He and Baogang Hu

Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations
Fei Wang, Chris Ding and Tao Li

Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery
Renqiang Min, Rui Kuang, Anthony Bonner and Zhaolei Zhang

Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction
Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama and Koji Tsuda

Local Relevance Weighted Maximum Margin Criterion for Text Classification
Quanquan Gu and Jie Zhou

Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence
Oksana Yakhnenko and Vasant Honavar

Multi-topic based Query-oriented Summarization
Jie Tang, Limin Yao and Dewei Chen

Near-optimal supervised feature selection among frequent subgraphs
Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan and Karsten M. Borgwardt

Optimal Distance Bounding on Time-Series Data
Michail Vlachos, Serdar Kozat and Philip S Yu

Outlier Detection with Globally Optimal Exemplar-Based GMM
xingwei yang, longin Jan Latecki and Dragoljub Pokrajac

Parallel Large Scale Feature Selection for Logistic Regression
Sameer Singh, Jeremy Kubica, Scott Larsen and Daria Sorokina

Polynomial-Delay and Polynomial-Space Algorithms for Mining Closed Sequences, Graphs, and Pictures in Accessible Set Systems
Hiroki Arimura and Takeaki Uno

Positive Unlabeled Learning for Data Stream Classification
Xiao-Li Li, Philip S. Yu, Bing Liu and See-Kiong Ng

Prior-Free Rare Category Detection
Jingrui He and Jaime Carbonell

Privacy Preservation in Social Networks with Sensitive Edge Weights
Lian Liu, Jie Wang, Jinze Liu and Jun Zhang

Proximity-Based Anomaly Detection using Sparse Structure Learning
Tsuyoshi Ide, Aurelie Lozano, Naoki Abe and Yan Liu

Scalable Distributed Change Detection from Astronomy Data Streams using Local, Asynchronous Eigen Monitoring Algorithms
Kamalika Das, Kanishka Bhaduri, Sugandha Arora, Wesley Griffin, Kirk Borne, Chris Giannella and Hillol Kargupta

Straightforward Feature Selection for Scalable Latent Semantic Indexing
Jun Yan, Shuicheng Yan, Ning Liu and Zheng Chen

The Metric Dilemma: Competence-Conscious Associative Classification
Adriano Veloso, Mohammed Zaki, Wagner Meira Jr. and Marcos Gonçalves

Time-decayed Correlated Aggregates over Data Streams
Graham Cormode, Srikanta Tirthapura and Bojian Xu

Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases
Duo Zhang, Chengxiang Zhai and Jiawei Han

Top-K Correlative Graph Mining
Yiping Ke, James Cheng and Jeffrey Xu Yu

Toward Optimal Ordering of Prediction Tasks
Abhimanyu Lad, Yiming Yang and Rayid Ghani

Travel-Time Prediction using Gaussian Process Regression: A Trajectory-Based Approach
Tsuyoshi Ide and Sei Kato

Twin Vector Machines for Online Learning on a Budget
Zhuang Wang and Slobodan Vucetic

Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach
Yi Han, Bin Zhou, Jian Pei and Yan Jia

Accepted for poster presentation

A Bayesian Approach to Graph Regression with Relevant Subgraph Selection
Silvia Chiappa, Hiroto Saigo and Koji Tsuda

A Hybrid Data Mining Metaheuristic for the p-Median Problem
Alexandre Plastino, Erick Fonseca, Richard Fuchshuber, Simone Martins, Alex Freitas, Martino Luis and Said Salhi

A new constraint for mining sets in sequences
Boris Cule, Bart Goethals and Celine Robardet

A Re-Evaluation of the Over-Searching Phenomenon in Inductive Rule Learning
Frederik Janssen and Johannes Fürnkranz

A Semi-Supervised Framework for Feature Mapping and Multiclass Classification
Bo Chen, Wai Lam, Ivor W Tsang and Tak-lam Wong

Aligned Graph Classification with Regularized Logistic Regression
Brian Quanz and Jun Huan

An Entity Based Model for Coreference Resolution
Michael Wick, Aron Culotta, Khashayar Rohanimanesh and Andrew McCallum

Analyses for Service Interaction Networks with applications to Service Delivery
S Kameshwaran, Sameep Mehta, Vinayaka Pandit, Gyana Parija, Sudhanshu Singh and N. Viswanadham

Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation
Yoshinobu Kawahara and Masashi Sugiyama

Context Aware Trace Clustering: Towards Improving Process Mining Results
Jagadeesh Chandra Bose R.P and Wil M.P. van der Aalst

Detection and Characterization of Anomalies in Multivariate Time Series
Haibin Cheng, Pang-Ning Tan, Christopher Potter and Steven Klooster

Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets
Wei Ding, Tomasz Stepinski and Josue Salazar

Diversity-based Weighting Schemes for Clustering Ensembles
Francesco Gullo, Andrea Tagarelli and Sergio Greco

Divide and Conquer Strategies for Effective Information Retrieval
Jie Chen and Yousef Saad

Efficient Secure Computation Protocols for Privacy Preserving Data Mining
Ke Zhai, Wee Keong Ng, Andre Ricardo Herianto and Shuguo Han

Exact Discovery of Time Series Motifs
Abdullah Mueen, Eamonn Keogh, Qiang Zhu, Sydney Cash and Brandon Westover

Exploiting Semantic Constraints for Estimating Supersenses with CRFs
Gerhard Paass and Frank Reichartz

Feature Weighted SVMs Using Receiver Operating Characteristics
Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan, James Bailey and Kotagiri Ramamohanarao

FEDRA: A Fast and Efficient Dimensionality Reduction Algorithm
Panagis Magdalinos, Christos Doulkeridis and Michalis Vazirgiannis

Finding Representative Rules
Warren Davis, Peter Schwarz and Evimaria Terzi

FutureRank: Ranking Scientific Articles by Predicting their Future PageRank
Hassan Sayyadi and Lise Getoor

Highlighting Diverse Concepts in Documents
Kun Liu, Evimaria Terzi and Tyrone Grandison

Identifying Information-Rich Subspace Trends in High-Dimensional Data
Snehal Pokharkar and Chandan Reddy

Low-Entropy Set Selection
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes and Heikki Mannila

Measuring Discrimination in Socially-Sensitive Decision Records
Dino Pedreschi, Salvatore Ruggieri and Franco Turini

Mining cohesive patterns from graphs with feature vectors
Flavia Moser, Recep Colak, Arash Rafiey and Martin Ester

Mining Complex Spatio-Temporal Sequence Patterns
Florian Verhein

Mining for Surprise Events within Text Streams
Paul Whitney and Dave Engel

Multi-field Correlated Topic Modeling
Konstantin Salomatin, Yiming Yang and Abhimanyu Lad

Multiple Kernel Clustering
Bin Zhao, James Kwok and Changshui Zhang

MUSK: Uniform Sampling of $k$ Maximal Patterns
Mohammad Hasan and Mohammed Zaki

Noise Robust Classification Based On Spread Spectrum
Joern David

Non-Negative Matrix Factorization, Convexity and Isometry
Nikolaos Vasiloglou, Alexander Gray and David Anderson

Non-Parametric Information-Theoretic Measures of One-Dimensional Distribution Functions for Anomaly Detection in Continuous Series
Paolo D'Alberto and Ali Dasdan

On Maximum Coverage in the Streaming Model & Application to Multi-topic Blog-Watch
Barna Saha and Lise Getoor

On Randomness Measures for Social Networks
Xiaowei Ying and Xintao Wu

On Segment Based Stream Modeling and its Applications
Charu Aggarwal

On the Comparison of Relative Clustering Validity Criteria
Lucas Vendramin, Ricardo Campello and Eduardo Hruschka

Parallel Pairwise Clustering
Elad Yom-Tov and Noam Slonim

PICC Counting: Who Needs Joins when you Can Propagate Efficiently?
Jong Wook Kim and K. Selcuk Candan

Providing Privacy through Plausibly Deniable Search
Mummoorthy Murugesan and Chris Clifton

Randomization Techniques for Graphs
Sami Hanhijärvi, Gemma C. Garriga and Kai Puolamäki

Semi-supervised Learning by Sparse Representation
Shuicheng Yan and Huan Wang

ShatterPlots: Fast Tools for Mining Large Graphs
Ana Paula Appel, Deepayan Chakrabarti, Christos Faloutsos, Ravi Kumar, Jure Leskovec and Andrew Tomkins

Spatially Cost-sensitive Active Learning
Alexander Liu, Goo Jun and Joydeep Ghosh

Structure and Dynamics of Research Collaboration in Computer Science
Christian Bird, Earl Barr, Andre Nash, Premkumar Devanbu, Vladimir Filkov and Zhendong Su

Text Categorization with All Substring Features
Daisuke Okanohara and Jun'ichi Tsujii

The Set Classification Problem and Solution Methods
Xia Ning and George Karypis

Topic Evolution in a Stream of Documents
Andrè Gohr, Alexander Hinneburg, Rene Schult and Myra Spiliopoulou

Tracking user mobility to detect suspicious behavior
Gaurav Tandon and Philip Chan

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