Regular Papers

Paper ID	Paper Title Author(s)
DM235	Stability Region based Expectation Maximization for Model-based Clustering Chandan Reddy, Hsiao-Dong Chiang, and Bala Rajaratnam
DM269	Anytime Classification Using the Nearest Neighbor Algorithm with Applications to Stream Mining Ken Ueno, Xiaopeng Xi, Eamonn Keogh, and Dah-Jye Lee
DM278	Discovering partial orders in binary data Deepak Rajan and Philip Yu
DM296	Bayesian State Space Modeling Approach for Measuring the Effectiveness of Marketing Activities and Baseline Sales from POS Data Tomohiro Ando
DM301	Large Scale Detection of Irregularities in Accounting Data Stephen Bay, Krishna Kumaraswamy, Markus Anderle, Rohit Kumar, and David Steier
DM303	Subjectivity Categorization in Weblog Space using Part-Of-Speech based Smoothing Shen Huang, Jiao-Tao Sun, Xuanhui Wang, Hua-Jun Zeng, and Zheng Chen
DM323	Regularized Least Absolute Deviations Regression, an Efficient Algorithm for Parameter Tuning and its Application in Image Reconstruction Li Wang, Ji Zhu, and Michael Gordon
DM330	Active Learning to Maximize Area Under the ROC Curve Matt Culver, Deng Kun, and Stephen Scott
DM343	Turning Clusters into Patterns: Rectangle-based Discriminative Data Description Byron Gao and Martin Ester
DM345	Relational Ensemble Classification Christine Preisach and Lars Schmidt-Thieme
DM350	Latent Friend Mining from Blog Data Dou Shen, Jian-Tao Sun, Qiang Yang, and Zheng Chen
DM352	Using an Ensemble of One-Class SVM Classifiers to Harden Payload-based Anomaly Detection Systems Roberto Perdisci, Guofei Gu, and Wenke Lee
DM359	A Novel Scalable Algorithm for Supervised Subspace Learning Jun yan, ning liu, Benyu Zhang, Qiang Yang, and Zheng Chen
DM364	Dimension Reduction for Supervised Ordering Toshihiro Kamishima and Shotaro Akaho
DM369	An Efficient Reference-based Approach to Outlier Detection in Large Dataset Yaling Pei, Osmar Zaiane, and Yong Gao
DM371	What is the dimension of your binary data? Nikolaj Tatti, Taneli Mielikainen, Aristedes Gionis, and Heikki Mannila
DM376	Hierarchical Classification by Expected Utility Maximization Korinna Bade, Eyke Hüllermeier, and Andreas Nürnberger
DM383	Finding Unusual Shapes Li Wei and Eamonn Keogh
DM448	Incremental Mining of Frequent Query Patterns from XML Queries for Caching Guoliang Li, Jianhua Feng, Jianyong Wang, Yong Zhang, and Lizhu Zhou
DM480	An information theoretic approach to detection of minority subsets in database Shin Ando and Einoshin Suzuki
DM484	How Bayesians Debug Chao Liu, Zeng Lian, and Jiawei Han
DM497	Integrating Features from Different Sources for Music Information Retrieval Tao Li and Mitsunori Ogihara
DM512	Co-clustering documents and words using Bipartite Isoperimetric Graph Partitioning Manjeet Rege, Ming Dong, and Farshad Fotouhi
DM517	Efficient Clustering of Uncertain Data Wang Kay Ngai, Ben Kao, Chun Kit Chui, Reynold Cheng, Michael Chau, and Kevin Y Yip
DM539	On the Lower Bound of Local Optimums in K-Means Algorithm Zhenjie Zhang, Bing Tian Dai, and Anthony K.H. Tung
DM558	Geometrically Inspired Itemset Mining Florian Verhein and Sanjay Chawla
DM599	Latent Dirichlet Co-Clustering Mahdi Shafiei and Evangelos Milios
DM625	Forecasting Skewed Biased Stochastic Ozone Days Xiaojing Yuan, Kun Zhang, Wei Fan, Ian Davidson, and Xiangshang Li
DM628	Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data Gunjan Gupta and Joydeep Ghosh
DM631	Local Correlation Tracking in Time Series Spiros Papadimitriou, Jimeng Sun, and Philip Yu
DM632	Lazy Associative Classification Adriano Veloso, Wagner Meira Jr., and Mohammed Zaki
DM633	Secure Distributed k-Anonymous Pattern Mining Wei Jiang and Maurizio Atzori
DM637	Fast Random Walk with Restart and Its Applications Hanghang Tong, Christos Faloutsos, and Jia-Yu Pan
DM638	P3.1: Identifying Follow-Correlation Itemset-Pairs Shichao Zhang
DM643	STAGGER: Periodicity Mining of Data Streams using Expanding Sliding Windows Mohamed Elfeky, Walid Aref, and Ahmed Elmagarmid
DM644	A Novel Method for Detecting Outlying Subspaces in High-dimensional Databases Using Genetic Algorithm Ji Zhang
DM658	Learning to Use a Learned Model: A Two-Stage Approach to Classification Luiza Antonie, Osmar Zaiane, and Robert Holte
DM670	δ-Tolerance Closed Frequent Itemsets James Cheng, Yiping Ke, and Wilfred Ng
DM696	The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering Tao Li, Chris Ding, and Shenghuo Zhu
DM697	Mining for tree-query associations in a graph Eveline Hoekx and Jan Van den Bussche
DM701	Improving Personalization Solutions Through Optimal Segmentation of Customer Bases Tianyi Jiang and Alexander Tuzhilin
DM702	Discovering Unrevealed Properties of Probability Estimation Trees:on Algorithm Selection and Performance Explanation kun zhang, Wei Fan, Bill Buckles, Xiaojing Yuan, and zujia xu
DM718	A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction Hisashi Kashima and Naoki Abe
DM726	Data Mining Approaches to Criminal Career Analysis Tim Cocx, Jeroen de Bruin, Walter Kosters, Jeroen Laros, and Joost Kok
DM737	Personalization in Context: Does Context Matter When Building Personalized Customer Models? Michele Gorgoglione, Cosimo Palmisano, and Alex Tuzhilin
DM756	Mixed-Drove Spatio-Temporal Co-occurrence Pattern Mining: A Summary of Results Mete Celik, Shashi Shekhar, James Rogers, James Shine, and Jin Yoo
DM764	COALA : A Novel Approach for the Extraction of an Alternate Clustering of High Quality and High Dissimilarity Eric Kyoo Han Bae and James Bailey
DM791	LOCI: Load Shedding through Class-Preserving Data Acquisition Peng Wang, Haixun Wang, Wei Wang, Baile Shi, and Philip S. Yu
DM793	Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval Xiangji (Jimmy) Huang, YanRui Huang, Miao Wen, Aijun An, Yang Liu, and Josiah Poon
DM796	Cluster Ranking with an Application to Mining Mailbox Networks Ido Guy, Ziv Bar-Yossef, Ronny Lempel, Yoelle S. Maarek, and Vladimir Soroka
DM803	Finding 'Who is talking to whom' in VoIP Networks via Progressive Stream Clustering Olivier Verscheure, Michail Vlachos, Aris Anagnostopoulos, Pascal Frossard, Eric Bouillet, and Philip S Yu
DM847	P3C: A Robust Projected Clustering Algorithm Gabriela Moise, Jorg Sander, and Martin Ester
DM848	Rapid Identification of Column Heterogeneity Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, and Suresh Venkatasubramanian
DM852	Optimal Segmentation using Tree Models Robert Gwadera, Aristides Gionis, and Heikki Mannila
DM864	Parallel Graph Mining on CMP Architectures Gregory Buehrer and Srinivasan Parthasarathy
DM866	Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy Arpit Mathur and Soumen Chakrabarti
DM868	Frequent Closed Itemset Mining Using Prefix Graphs with an Efficient Flow-Based Pruning Strategy H.D.K. Moonesinghe, Samah Fodeh,and Pang-Ning Tan
DM883	Converting Output Scores from Outlier Detection Algorithms into Probability Estimates Jing Gao and Pang-Ning Tan
DM889	On the Use of Structure and Sequence-based Features for Protein Classification and Retrieval Keith Marsolo and Srinivasan Parthasarathy
DM892	Who thinks who knows who? Socio-cognitive analysis of email networks Nishith Pathak, Sandeep Mane, and Jaideep Srivastava
DM894	Boosting Kernel Models for Regression Ping Sun and Xin Yao
DM903	A Data Mining Approach for Capacity Building of Stakeholders in Integrated Flood Management Peter Owotoki, Natasa Manojlovic, Friedrich Mayer-Lindenberg, and Erik Pasche
DM926	Boosting for Learning Multiple Classes with Imbalanced Class Distribution Yanmin Sun and Yang Wang
DM934	Extracting Keyphrases using Semantic Networks Structure Analysis Chong Huang, Yonghong Tian, Tiejun Huang, Charles Ling, and Zhi Zhou
DM939	Meta Clustering Rich Caruana, Mohamed Elhawary, Nam Nguyen,and Casey Smith
DM942	An Interactive Semantic Video Mining and Retrieval Platform - Application in Transportation Surveillance Video for Incident Detection Xin Chen and Chengcui Zhang
DM944	Comparison of Descriptor Spaces for Chemical Compound Retrieval and Classification Nikil Wale and George Karypis
DM954	Biclustering Protein Complex Interactions with a Biclique Finding Algorithm Chris Ding, Ya Zhang, and Stephen Holbrook
DM958	The PDD Framework for Detecting Categories of Peculiar Data Mahesh Shrestha, Howard Hamilton, Y. Y. Yao, Ken Konkel, and Liqiang Geng
DM963	Global and Componentwise Extrapolation for Accelerating Data Mining from Large Incomplete Data Set with the EM Algorithm Chun-Nan Hsu, Han-Shen Huang, and Bo-Hou Yang
DM972	Adaptive Blocking: Learning to Scale Up Record Linkage Mikhail Bilenko, Beena Kamath, and Raymond J. Mooney
DM975	Entity Resolution with Markov Logic Parag Singla and Pedro Domingos
DM978	Dirichlet Aspect Weighting: A Generalized EM algorithm for Integrating External Data Fields with Semantically Structured Queries by using Gradient Projection Method Atulya Velivelli and Thomas Huang

Short Papers

Paper ID	Paper Title Author(s)
DM224	GraphRank: Statistical Modeling and Mining of Significant Subgraphs in the Feature Space Huahai He and Ambuj Singh
DM252	A Framework for Regional Association Rule Mining in Spatial Datasets Wei Ding, Christoph F. Eick, Jing Wang, and XiaoJing Yuan
DM263	Mining Latent Associations of Objects Using a Typed Mixture Model --A case study on expert/expertise mining Shenghua Bao, Yunbo Cao, Hang Li, Bing Liu, and Yong Yu
DM273	Decision Trees for Functional Variables Suhrid Balakrishnan and David Madigan
DM283	Discover Bayesian Networks from Incomplete Data Using a Hybrid Evolutionary Algorithm Man Leung Wong and Yuan Yuan Guo
DM285	Star-Structured High-Order Heterogeneous Data Co-clustering based on Consistent Information Theory Bin Gao, Tie-Yan Liu, and Wei-Ying Ma
DM289	Mining Complex Time-Series Data by Learning the Temporal Structure Using Bayesian Techniques and Markovian Models Yi Wang and Lizhu Zhou
DM300	Boosting the Feature Space: Text Classification for Unstructured Data on the Web YANG SONG, Ding Zhou, Jian Huang, Isaac Councill, Hongyuan Zha, and C. Lee Giles
DM307	Improving Grouped-Entity Resolution using Quasi-Cliques Byung-Won On, Ergin Elmacioglu, Dongwon Lee, Jaewoo Kang, and Jian Pei
DM308	Diverse Topic Phrase Extraction through Latent Semantic Analysis Jilin Chen, Benyu Zhang, Jun Yan, and Qiang Yang
DM318	Temporal Data Mining in Dynamic Feature Spaces Brent Wenerstrom and Christophe Giraud-Carrier
DM331	Constructing Ensembles for Better Ranking Jin Huang and Charles Ling
DM351	AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery Hong Cheng, Philip S. Yu, and Jiawei Han
DM354	Direct Marketing When There Are Voluntary Buyers Yi-Ting Lai, Ke Wang, Daymond Ling, Hua Shi, and Jason Zhang
DM370	An Effective Algorithm for Mining Competitors from the Web Rui Li, Shenghua Bao, Jin Wang, Yong Yu, and Yubo Cao
DM386	Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems Eamonn Keogh, Li Wei, Xiaopeng Xi, Stefano Lonardi, Jin Shieh, and Scott Sirowy
DM389	Semantic Overall and Partial Similarity of Temporal Query Logs for Similar Query Suggestion ning liu, Jun yan, Benyu Zhang, Weiguo Fan, and Zheng Chen
DM397	High Quality, Efficient Hierarchical Document Clustering using Closed Interesting Itemsets Hassan Malik and John Kender
DM400	Exploratory Under-Sampling for Class-Imbalance Learning Xu-Ying Liu, Jianxin Wu, and Zhi-Hua Zhou
DM405	Semi-Supervised Kernel Regression Meng Wang, Xian-Sheng Hua, Yan Song, Li-Rong Dai, and Hong-Jiang Zhang
DM409	Query-Sensitive Similarity Measure for Content-Based Image Retrieval Zhi-Hua Zhou and Hong-Bin Dai
DM445	Adding Semantics to Email Clustering Hua Li, Dou Shen, Benyu Zhang, Zheng Chen, and Qiang Yang
DM504	Deploying Approaches for Pattern Refinement in Text Mining Sheng-Tang Wu, Yuefeng Li, and Yue Xu
DM538	Mining Maximal Quasi-Bicliques to Co-Cluster Stocks and Financial Ratios for Value Investment Kelvin Sim, Jinyan Li, Vivekanand Gopalkrishnan, and Guimei Liu
DM540	Recommendation on Item Graphs Fei Wang, Sheng Ma, and Tao Li
DM543	Cluster Based Core Vector Machine Asharaf S, Narasimha Murty Musti, and Shirish Krishnaj Shevade
DM545	Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels Daoqiang Zhang, Zhi-Hua Zhou, and Songcan Chen
DM549	Manifold Clustering of Shapes Dragomir Yankov and Eamonn Keogh
DM556	Discovery of Collocation Episodes in Spatiotemporal Data Huiping Cao, Nikos Mamoulis, and David W. Cheung
DM564	The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study Xu-Ying Liu and Zhi-Hua Zhou
DM600	Entropy-based Concept Shift Detection Peter Vorburger and Abraham Bernstein
DM609	Solution Path for Semi-Supervised Classification with Manifold Regularization Gang Wang, Tao Chen, Dit-Yan Yeung, and Frederick H. Lochovsky
DM611	Pattern Mining in Frequent Dynamic Subgraphs Karsten Borgwardt, Hans-Peter Kriegel, and Peter Wackersreuther
DM612	Corrective Classification: A Classifier Ensemble with Corrective and Diverse Base Learners YAN ZHANG, XINGQUAN ZHU, and XINDONG WU
DM613	DSTree: A Tree Structure for Efficient Mining of Frequent Patterns from Data Streams Carson Leung and Quamrul I. Khan
DM627	bitSPADE: A Lattice-Based Sequential Pattern Mining Algorithm Using Bitmap Representation Sujeevan Aseervatham, Aomar Osmani, and Emmanuel Viennet
DM630	COSMIC: Conceptually Specified Multi-Instance Clusters Matthias Schubert, Alexey Pryakhin, Arthur Zimek, and Hans-Peter Kriegel
DM634	Mining Generalized Graph Patterns based on User Examples Pavel Dmitriev and Carl Lagoze
DM636	TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases Hui Xiong, Mark Brodie, and Sheng Ma
DM646	Automatic Single-Organ Segmentation in Computed Tomography Images Ruchaneewan Susomboon, Daniela Raicu, Jacob Furst, and David Channin
DM654	Searching for Pattern Rules Guichong Li and Howard Hamilton
DM655	Enhancing Text Clustering using Concept-based Mining Model Shady Shehata, Fakhri Karray, and Mohamed Kamel
DM657	Probabilistic segmentation and analysis of horizontal cells Vebjorn Ljosa and Ambuj K. Singh
DM660	Semantic Smoothing for Model-based Document Clustering Xiaodan Zhang, Xiaohua Zhou, and Xiaohua Hu
DM676	A Balanced Ensemble Approach to Weighting Classifiers for Text Classification Gabriel Pui Cheong Fung, Jeffrey Yu, Haixun Wang, Huan Liu, and David W Cheung
DM685	Social Capital in Friendship-Event Networks Louis Licamele and Lise Getoor
DM686	Cluster Analysis of Time-series Laboratory Test Data Based on the Trajectory Representation and Multiscale Comparison Techniques Shoji Hirano and Shusaku Tsumoto
DM714	MARGIN: Maximal Frequent Subgraph Mining Lini Thomas, Satyanarayana R Valluri, and Kamalakar Karlapalem
DM721	Distances and (Indefinite) Kernels for Sets of Objects Adam Woznica, Alexandros Kalousis, and Melanie Hilario
DM733	NewsCATS: A News Categorization And Trading System Marc-André Mittermayer and Gerhard Knolmayer
DM744	Comparisons of K-Anonymization and Randomization Schemes Under Linking Attacks Zhouxuan Teng and Wenliang Du
DM745	Getting the Most Out of Ensemble Selection Rich Caruana, Art Munson, and Alexandru Niculescu-Mizil
DM761	Multi-Tier Granule Mining for Representations of Multidimensional Association Rules Yuefeng Li, Wanzhong Yang, and Yue Xu
DM768	Speedup Clustering with Hierarchical Ranking Jianjun Zhou and Joerg Sander
DM773	Semantic Kernels for Text Classification based on Topological Measures of Feature Similarity Stephan Bloehdorn, Roberto Basili, Marco Cammisa, and Alessandro Moschitti
DM784	Mining Maximal Generalized Frequent Geographic Patterns with Knowledge Constraints Vania Bogorny, Joao Valiati, Sandro Camargo, Paulo Engel, and Luis Otavio Alvares
DM795	Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams Jimeng Sun, Spiros Papadimitriou, and Philip Yu
DM807	Object Identification with Constraints Steffen Rendle and Lars Schmidt-Thieme
DM825	Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression S K Shevade and Wei Chu
DM833	Mining Correlation between Motifs and Gene Expression Yi Lu, Shiyong Lu, Adrian Platts, and Stephen Krawetz
DM857	TRIAS - An Algorithm for Mining Iceberg Tri-Lattices Robert Jäschke, Andreas Hotho, Christoph Schmitz, Bernhard Ganter, and Gerd Stumme
DM870	Resource Management for Networked Classifiers in Distributed Stream Mining Systems Deepak Turaga, Olivier Verscheure, Upendra Chaudhari, and Lisa Amini
DM880	An Experimental Investigation of Graph Kernels on two Collaborative Recommendation Tasks Francois Fouss, Luh Yen, Alain Pirotte, and Marco Saerens
DM898	Opening the Black Box of Feature Extraction: Incorporating Visualization into High-Dimensional Data Mining Processes jianting zhang and Le Gruenwald
DM905	Fast On-line Kernel Learning for Trees Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, and Alessandro Moschitti
DM908	Rule-Based Platform for Web Service User Profiling Jianping Zhang and Manu Shukla
DM911	Improving Nearest Neighbor Classifier using Tabu Search and Ensemble Distance Metrics Muhammad Atif Tahir and James Smith
DM914	High-Performance Unsupervised Relation Extraction from Large Corpora Benjamin Rosenfeld and Ronen Feldman
DM928	Detection of Interdomain Routing Anomalies Based on Higher-Order Path Analysis Murat Ganiz, William Pottenger, Sudhan Kanitkar, and Mooi Chuah
DM929	On Trajectory Representation and Analysis for Scientific Data Sameep Mehta, Raghu Machiraju, and Srinivasan Parthasarathy
DM933	Belief Propagation in Large, Highly Connected Graphs for 3D Part-Based Object Recognition Frank DiMaio and Jude Shavlik
DM941	Fast Relevance Discovery in Time Series Chang-shing Perng, Haixun Wang, and Sheng Ma
DM951	A Simple Yet Effective Data Clustering Algorithm Soujanya Vadapalli, Satyanarayana Valluri, and Kamalakar Karlapalem
DM953	Plagiarism Detection in arXiv Daria Sorokina, Johannes Gehrke, Simeon Warner, and Paul Ginsparg
DM959	Detecting Web Spam from Temporal Statistics of Websites Guoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Shiji Song, and Hang Li
DM968	A Feature Selection and Evaluation Scheme for Computer Virus Detection Olivier Henchiri and Nathalie Japkowicz
DM969	Probabilistic Enhanced Mapping with the Generative Tabular Model PRIAM Rodolphe and Mohamed Nadif
DM970	Linear and Non-Linear Dimensional Reduction via Class Representatives for Text Classification Dimitrios Zeimpekis and Efstratios Gallopoulos
DM979	Gradual Cube: Customize Profile on Mobile OLAP LI Jun, Zhou Haofeng, and Wang Wei

Remarks for paper presentations

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