6. ICDM 2006: Hong Kong, China

Invited Papers

• Tomaso Poggio:
  Neuroscience: New Insights for AI? 3-8
  
• Raghu Ramakrishnan:
  Exploratory Mining in Cube Space. 6
  
• Weixiong Zhang:
  Data Mining Methods for Modeling Gene Expression Regulation and Their Applications. 7
  

Regular Papers

• Shin Ando, Einoshin Suzuki:
  An Information Theoretic Approach to Detection of Minority Subsets in Database. 11-20
  
• Tomohiro Ando:
  Bayesian State Space Modeling Approach for Measuring the Effectiveness of Marketing Activities and Baseline Sales from POS Data. 21-32
  
• Maria-Luiza Antonie, Osmar R. Zaïane, Robert C. Holte:
  Learning to Use a Learned Model: A Two-Stage Approach to Classification. 33-42
  
• Korinna Bade, Eyke Hüllermeier, Andreas Nürnberger:
  Hierarchical Classification by Expected Utility Maximization. 43-52
  
• Eric Bae, James Bailey:
  COALA: A Novel Approach for the Extraction of an Alternate Clustering of High Quality and High Dissimilarity. 53-62
  
• Ziv Bar-Yossef, Ido Guy, Ronny Lempel, Yoëlle S. Maarek, Vladimir Soroka:
  Cluster Ranking with an Application to Mining Mailbox Networks. 63-74
  
• Stephen Bay, Krishna Kumaraswamy, Markus G. Anderle, Rohit Kumar, David M. Steier:
  Large Scale Detection of Irregularities in Accounting Data. 75-86
  
• Mikhail Bilenko, Beena Kamath, Raymond J. Mooney:
  Adaptive Blocking: Learning to Scale Up Record Linkage. 87-96
  
• Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kuang Chen:
  Adaptive Parallel Graph Mining for CMP Architectures. 97-106
  
• Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, Casey Smith:
  Meta Clustering. 107-118
  
• Mete Celik, Shashi Shekhar, James P. Rogers, James A. Shine, Jin Soung Yoo:
  Mixed-Drove Spatio-Temporal Co-occurence Pattern Mining: A Summary of Results. 119-128
  
• Xin Chen, Chengcui Zhang:
  An Interactive Semantic Video Mining and Retrieval Platform--Application in Transportation Surveillance Video for Incident Detection. 129-138
  
• James Cheng, Yiping Ke, Wilfred Ng:
  delta-Tolerance Closed Frequent Itemsets. 139-148
  
• Matt Culver, Kun Deng, Stephen D. Scott:
  Active Learning to Maximize Area Under the ROC Curve. 149-158
  
• Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian:
  Rapid Identification of Column Heterogeneity. 159-170
  
• Jeroen S. de Bruin, Tim K. Cocx, Walter A. Kosters, Jeroen F. J. Laros, Joost N. Kok:
  Data Mining Approaches to Criminal Career Analysis. 171-177
  
• Chris H. Q. Ding, Ya Zhang, Tao Li, Stephen R. Holbrook:
  Biclustering Protein Complex Interactions with a Biclique Finding Algorithm. 178-187
  
• Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagarmid:
  STAGGER: Periodicity Mining of Data Streams Using Expanding Sliding Windows. 188-199
  
• Byron J. Gao, Martin Ester:
  Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description. 200-211
  
• Jing Gao, Pang-Ning Tan:
  Converting Output Scores from Outlier Detection Algorithms into Probability Estimates. 212-221
  
• Michele Gorgoglione, Cosimo Palmisano, Alexander Tuzhilin:
  Personalization in Context: Does Context Matter When Building Personalized Customer Models? 222-231
  
• Gunjan Gupta, Joydeep Ghosh:
  Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data. 232-243
  
• Robert Gwadera, Aristides Gionis, Heikki Mannila:
  Optimal Segmentation Using Tree Models. 244-253
  
• Eveline Hoekx, Jan Van den Bussche:
  Mining for Tree-Query Associations in a Graph. 254-264
  
• Chun-Nan Hsu, Han-Shen Huang, Bo-Hou Yang:
  Global and Componentwise Extrapolation for Accelerating Data Mining from Large Incomplete Data Sets with the EM Algorithm. 265-274
  
• Chong Huang, YongHong Tian, Zhi Zhou, Charles X. Ling, Tiejun Huang:
  Keyphrase Extraction Using Semantic Networks Structure Analysis. 275-284
  
• Shen Huang, Jian-Tao Sun, Xuanhui Wang, Hua-Jun Zeng, Zheng Chen:
  Subjectivity Categorization of Weblog with Part-of-Speech Based Smoothing. 285-294
  
• Xiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, Yang Liu, Josiah Poon:
  Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval. 295-306
  
• Tianyi Jiang, Alexander Tuzhilin:
  Improving Personalization Solutions through Optimal Segmentation of Customer Bases. 307-318
  
• Wei Jiang, Maurizio Atzori:
  Secure Distributed k-Anonymous Pattern Mining. 319-329
  
• Toshihiro Kamishima, Shotaro Akaho:
  Dimension Reduction for Supervised Ordering. 330-339
  
• Hisashi Kashima, Naoki Abe:
  A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction. 340-349
  
• Guoliang Li, Jianhua Feng, Jianyong Wang, Yong Zhang, Lizhu Zhou:
  Incremental Mining of Frequent Query Patterns from XML Queries for Caching. 350-361
  
• Tao Li, Chris H. Q. Ding:
  The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering. 362-371
  
• Tao Li, Mitsunori Ogihara, Shenghuo Zhu:
  Integrating Features from Different Sources for Music Information Retrieval. 372-381
  
• Chao Liu, Zeng Lian, Jiawei Han:
  How Bayesians Debug. 382-393
  
• Keith Marsolo, Srinivasan Parthasarathy:
  On the Use of Structure and Sequence-Based Features for Protein Classification and Retrieval. 394-403
  
• Arpit Mathur, Soumen Chakrabarti:
  Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy. 404-413
  
• Gabriela Moise, Jörg Sander, Martin Ester:
  P3C: A Robust Projected Clustering Algorithm. 414-425
  
• H. D. K. Moonesinghe, Samah Jamal Fodeh, Pang-Ning Tan:
  Frequent Closed Itemset Mining Using Prefix Graphs with an Efficient Flow-Based Pruning Strategy. 426-435
  
• Wang Kay Ngai, Ben Kao, Chun Kit Chui, Reynold Cheng, Michael Chau, Kevin Y. Yip:
  Efficient Clustering of Uncertain Data. 436-445
  
• Peter Owotoki, Natasa Manojlovic, Friedrich Mayer-Lindenberg, Erik Pasche:
  A Data Mining Approach for Capacity Building of Stakeholders in Integrated Flood Management. 446-455
  
• Spiros Papadimitriou, Jimeng Sun, Philip S. Yu:
  Local Correlation Tracking in Time Series. 456-465
  
• Nishith Pathak, Sandeep Mane, Jaideep Srivastava:
  Who Thinks Who Knows Who? Socio-cognitive Analysis of Email Networks. 466-477
  
• Yaling Pei, Osmar R. Zaïane, Yong Gao:
  An Efficient Reference-Based Approach to Outlier Detection in Large Datasets. 478-487
  
• Roberto Perdisci, Guofei Gu, Wenke Lee:
  Using an Ensemble of One-Class SVM Classifiers to Harden Payload-based Anomaly Detection Systems. 488-498
  
• Christine Preisach, Lars Schmidt-Thieme:
  Relational Ensemble Classification. 499-509
  
• Deepak Rajan, Philip S. Yu:
  Discovering Partial Orders in Binary Data. 510-521
  
• Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratnam:
  Stability Region Based Expectation Maximization for Model-based Clustering. 522-531
  
• Manjeet Rege, Ming Dong, Farshad Fotouhi:
  Co-clustering Documents and Words Using Bipartite Isoperimetric Graph Partitioning. 532-541
  
• M. Mahdi Shafiei, Evangelos E. Milios:
  Latent Dirichlet Co-Clustering. 542-551
  
• Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen:
  Latent Friend Mining from Blog Data. 552-561
  
• Mahesh Shrestha, Howard J. Hamilton, Yiyu Yao, Ken Konkel, Liqiang Geng:
  The PDD Framework for Detecting Categories of Peculiar Data. 562-571
  
• Parag Singla, Pedro Domingos:
  Entity Resolution with Markov Logic. 572-582
  
• Ping Sun, Xin Yao:
  Boosting Kernel Models for Regression. 583-591
  
• Yanmin Sun, Mohamed S. Kamel, Yang Wang:
  Boosting for Learning Multiple Classes with Imbalanced Class Distribution. 592-602
  
• Nikolaj Tatti, Taneli Mielikäinen, Aristides Gionis, Heikki Mannila:
  What is the Dimension of Your Binary Data? 603-612
  
• Hanghang Tong, Christos Faloutsos, Jia-Yu Pan:
  Fast Random Walk with Restart and Its Applications. 613-622
  
• Ken Ueno, Xiaopeng Xi, Eamonn J. Keogh, Dah-Jye Lee:
  Anytime Classification Using the Nearest Neighbor Algorithm with Applications to Stream Mining. 623-632
  
• Atulya Velivelli, Thomas S. Huang:
  Dirichlet Aspect Weighting: A Generalized EM Algorithm for Integrating External Data Fields with Semantically Structured Queries by Using Gradient Projection Method. 633-644
  
• Adriano Veloso, Wagner Meira Jr., Mohammed J. Zaki:
  Lazy Associative Classification. 645-654
  
• Florian Verhein, Sanjay Chawla:
  Geometrically Inspired Itemset Mining. 655-666
  
• Olivier Verscheure, Michail Vlachos, Aris Anagnostopoulos, Pascal Frossard, Eric Bouillet, Philip S. Yu:
  Finding "Who Is Talking to Whom" in VoIP Networks via Progressive Stream Clustering. 667-677
  
• Nikil Wale, George Karypis:
  Comparison of Descriptor Spaces for Chemical Compound Retrieval and Classification. 678-689
  
• Li Wang, Michael D. Gordon, Ji Zhu:
  Regularized Least Absolute Deviations Regression and an Efficient Algorithm for Parameter Tuning. 690-700
  
• Peng Wang, Haixun Wang, Wei Wang, Baile Shi, Philip S. Yu:
  LOCI: Load Shedding through Class-Preserving Data Acquisition. 701-710
  
• Li Wei, Eamonn J. Keogh, Xiaopeng Xi:
  SAXually Explicit Images: Finding Unusual Shapes. 711-720
  
• Jun Yan, Ning Liu, Benyu Zhang, Qiang Yang, Shuicheng Yan, Zheng Chen:
  A Novel Scalable Algorithm for Supervised Subspace Learning. 721-730
  
• Ji Zhang, Qigang Gao, Hai H. Wang:
  A Novel Method for Detecting Outlying Subspaces in High-dimensional Databases Using Genetic Algorithm. 731-740
  
• Kun Zhang, Wei Fan, Bill P. Buckles, Xiaojing Yuan, Zujia Xu:
  Discovering Unrevealed Properties of Probability Estimation Trees: On Algorithm Selection and Performance Explanation. 741-752
  
• Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, Xiangshang Li:
  Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions. 753-764
  
• Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Zifang Huang:
  Identifying Follow-Correlation Itemset-Pairs. 765-774
  
• Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung:
  On the Lower Bound of Local Optimums in K-Means Algorithm. 775-786
  

Short Papers

• Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Alessandro Moschitti:
  Fast On-line Kernel Learning for Trees. 787-791
  
• Sujeevan Aseervatham, Aomar Osmani, Emmanuel Viennet:
  bitSPADE: A Lattice-based Sequential Pattern Mining Algorithm Using Bitmap Representation. 792-797
  
• Suhrid Balakrishnan, David Madigan:
  Decision Trees for Functional Variables. 798-802
  
• Shenghua Bao, Yunbo Cao, Bing Liu, Yong Yu, Hang Li:
  Mining Latent Associations of Objects Using a Typed Mixture Model--A Case Study on Expert/Expertise Mining. 803-807
  
• Stephan Bloehdorn, Roberto Basili, Marco Cammisa, Alessandro Moschitti:
  Semantic Kernels for Text Classification Based on Topological Measures of Feature Similarity. 808-812
  
• Vania Bogorny, João Francisco Valiati, Sandro da Silva Camargo, Paulo Martins Engel, Bart Kuijpers, Luis Otávio Alvares:
  Mining Maximal Generalized Frequent Geographic Patterns with Knowledge Constraints. 813-817
  
• Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wackersreuther:
  Pattern Mining in Frequent Dynamic Subgraphs. 818-822
  
• Huiping Cao, Nikos Mamoulis, David W. Cheung:
  Discovery of Collocation Episodes in Spatiotemporal Data. 823-827
  
• Rich Caruana, Art Munson, Alexandru Niculescu-Mizil:
  Getting the Most Out of Ensemble Selection. 828-833
  
• Jilin Chen, Jun Yan, Benyu Zhang, Qiang Yang, Zheng Chen:
  Diverse Topic Phrase Extraction through Latent Semantic Analysis. 834-838
  
• Hong Cheng, Philip S. Yu, Jiawei Han:
  AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery. 839-844
  
• Frank DiMaio, Jude W. Shavlik:
  Belief Propagation in Large, Highly Connected Graphs for 3D Part-Based Object Recognition. 845-850
  
• Wei Ding, Christoph F. Eick, Jing Wang, Xiaojing Yuan:
  A Framework for Regional Association Rule Mining in Spatial Datasets. 851-856
  
• Pavel Dmitriev, Carl Lagoze:
  Mining Generalized Graph Patterns Based on User Examples. 857-862
  
• François Fouss, Luh Yen, Alain Pirotte, Marco Saerens:
  An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task. 863-868
  
• Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Haixun Wang, David W. Cheung, Huan Liu:
  A Balanced Ensemble Approach to Weighting Classifiers for Text Classification. 869-873
  
• Murat Can Ganiz, Sudhan Kanitkar, Mooi Choo Chuah, William M. Pottenger:
  Detection of Interdomain Routing Anomalies Based on Higher-Order Path Analysis. 874-879
  
• Bin Gao, Tie-Yan Liu, Wei-Ying Ma:
  Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory. 880-884
  
• Huahai He, Ambuj K. Singh:
  GraphRank: Statistical Modeling and Mining of Significant Subgraphs in the Feature Space. 885-890
  
• Olivier Henchiri, Nathalie Japkowicz:
  A Feature Selection and Evaluation Scheme for Computer Virus Detection. 891-895
  
• Shoji Hirano, Shusaku Tsumoto:
  Cluster Analysis of Time-Series Medical Data Based on the Trajectory Representation and Multiscale Comparison Techniques. 896-901
  
• Jin Huang, Charles X. Ling:
  Constructing Ensembles for Better Ranking. 902-906
  
• Robert Jäschke, Andreas Hotho, Christoph Schmitz, Bernhard Ganter, Gerd Stumme:
  TRIAS - An Algorithm for Mining Iceberg Tri-Lattices. 907-911
  
• Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Stefano Lonardi, Jin Shieh, Scott Sirowy:
  Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems. 912-916
  
• Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert, Arthur Zimek:
  COSMIC: Conceptually Specified Multi-Instance Clusters. 917-921
  
• Yi-Ting Lai, Ke Wang, Daymond Ling, Hua Shi, Jason Zhang:
  Direct Marketing When There Are Voluntary Buyers. 922-927
  
• Carson Kai-Sang Leung, Quamrul I. Khan:
  DSTree: A Tree Structure for the Mining of Frequent Sets from Data Streams. 928-932
  
• Guichong Li, Howard J. Hamilton:
  Searching for Pattern Rules. 933-937
  
• Hua Li, Dou Shen, Benyu Zhang, Zheng Chen, Qiang Yang:
  Adding Semantics to Email Clustering. 938-942
  
• Jun Li, Haofeng Zhou, Wei Wang:
  Gradual Cube: Customize Profile on Mobile OLAP. 943-947
  
• Rui Li, Shenghua Bao, Jin Wang, Yong Yu, Yunbo Cao:
  CoMiner: An Effective Algorithm for Mining Competitors from the Web. 948-952
  
• Yuefeng Li, Wanzhong Yang, Yue Xu:
  Multi-Tier Granule Mining for Representations of Multidimensional Association Rules. 953-958
  
• Louis Licamele, Lise Getoor:
  Social Capital in Friendship-Event Networks. 959-964
  
• Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou:
  Exploratory Under-Sampling for Class-Imbalance Learning. 965-969
  
• Xu-Ying Liu, Zhi-Hua Zhou:
  The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study. 970-974
  
• Ning Liu, Shuzhen Nong, Jun Yan, Benyu Zhang, Zheng Chen, Ying Li:
  Similarity of Temporal Query Logs Based on ARIMA Model. 975-979
  
• Vebjorn Ljosa, Ambuj K. Singh:
  Probabilistic Segmentation and Analysis of Horizontal Cells. 980-985
  
• Yi Lu, Shiyong Lu, Adrian E. Platts, Stephen A. Krawetz:
  Mining Correlation between Motifs and Gene Expression. 986-990
  
• Hassan H. Malik, John R. Kender:
  High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets. 991-996
  
• Sameep Mehta, Srinivasan Parthasarathy, Raghu Machiraju:
  On Trajectory Representation for Scientific Features. 997-1001
  
• Marc-André Mittermayer, Gerhard Knolmayer:
  NewsCATS: A News Categorization and Trading System. 1002-1007
  
• Byung-Won On, Ergin Elmacioglu, Dongwon Lee, Jaewoo Kang, Jian Pei:
  Improving Grouped-Entity Resolution Using Quasi-Cliques. 1008-1015
  
• Chang-Shing Perng, Haixun Wang, Sheng Ma:
  Fast Relevance Discovery in Time Series. 1016-1020
  
• Rodolphe Priam, Mohamed Nadif:
  Probabilistic Enhanced Mapping with the Generative Tabular Model. 1021-1025
  
• Steffen Rendle, Lars Schmidt-Thieme:
  Object Identification with Constraints. 1026-1031
  
• Binyamin Rosenfeld, Ronen Feldman:
  High-Performance Unsupervised Relation Extraction from Large Corpora. 1032-1037
  
• Asharaf S, M. Narasimha Murty, Shirish Krishnaj Shevade:
  Cluster Based Core Vector Machine. 1038-1042
  
• Shady Shehata, Fakhri Karray, Mohamed S. Kamel:
  Enhancing Text Clustering Using Concept-based Mining Model. 1043-1048
  
• Guoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Shiji Song, Hang Li:
  Detecting Link Spam Using Temporal Information. 1049-1053
  
• Shirish Krishnaj Shevade, Wei Chu:
  Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. 1054-1058
  
• Kelvin Sim, Jinyan Li, Vivekanand Gopalkrishnan, Guimei Liu:
  Mining Maximal Quasi-Bicliques to Co-Cluster Stocks and Financial Ratios for Value Investment. 1059-1063
  
• Yang Song, Ding Zhou, Jian Huang, Isaac G. Councill, Hongyuan Zha, C. Lee Giles:
  Boosting the Feature Space: Text Classification for Unstructured Data on the Web. 1064-1069
  
• Daria Sorokina, Johannes Gehrke, Simeon Warner, Paul Ginsparg:
  Plagiarism Detection in arXiv. 1070-1075
  
• Jimeng Sun, Spiros Papadimitriou, Philip S. Yu:
  Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams. 1076-1080
  
• Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob D. Furst, David S. Channin:
  Automatic Single-Organ Segmentation in Computed Tomography Images. 1081-1086
  
• Muhammad Atif Tahir, Jim E. Smith:
  Improving Nearest Neighbor Classifier Using Tabu Search and Ensemble Distance Metrics. 1086-1090
  
• Zhouxuan Teng, Wenliang Du:
  Comparisons of K-Anonymization and Randomization Schemes under Linking Attacks. 1091-1096
  
• Lini T. Thomas, Satyanarayana R. Valluri, Kamalakar Karlapalem:
  MARGIN: Maximal Frequent Subgraph Mining. 1097-1101
  
• Deepak S. Turaga, Olivier Verscheure, Upendra V. Chaudhari, Lisa Amini:
  Resource Management for Networked Classifiers in Distributed Stream Mining Systems. 1102-1107
  
• Soujanya Vadapalli, Satyanarayana R. Valluri, Kamalakar Karlapalem:
  A Simple Yet Effective Data Clustering Algorithm. 1108-1112
  
• Peter Vorburger, Abraham Bernstein:
  Entropy-based Concept Shift Detection. 1113-1118
  
• Fei Wang, Sheng Ma, Liuzhong Yang, Tao Li:
  Recommendation on Item Graphs. 1119-1123
  
• Gang Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky:
  Solution Path for Semi-Supervised Classification with Manifold Regularization. 1124-1129
  
• Meng Wang, Xian-Sheng Hua, Yan Song, Li-Rong Dai, HongJiang Zhang:
  Semi-Supervised Kernel Regression. 1130-1135
  
• Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, Zhi-Qiang Liu:
  Mining Complex Time-Series Data by Learning Markovian Models. 1136-1140
  
• Brent Wenerstrom, Christophe G. Giraud-Carrier:
  Temporal Data Mining in Dynamic Feature Spaces. 1141-1145
  
• Man Leung Wong, Yuan Yuan Guo:
  Discover Bayesian Networks from Incomplete Data Using a Hybrid Evolutionary Algorithm. 1146-1150
  
• Adam Woznica, Alexandros Kalousis, Melanie Hilario:
  Distances and (Indefinite) Kernels for Sets of Objects. 1151-1156
  
• Sheng-Tang Wu, Yuefeng Li, Yue Xu:
  Deploying Approaches for Pattern Refinement in Text Mining. 1157-1161
  
• Hui Xiong, Mark Brodie, Sheng Ma:
  TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases. 1162-1166
  
• Dragomir Yankov, Eamonn J. Keogh:
  Manifold Clustering of Shapes. 1167-1171
  
• Dimitrios Zeimpekis, Efstratios Gallopoulos:
  Linear and Non-Linear Dimensional Reduction via Class Representatives for Text Classification. 1172-1177
  
• Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
  Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. 1178-1182
  
• Jianping Zhang, Manu Shukla:
  Rule-Based Platform for Web User Profiling. 1183-1187
  
• Jianting Zhang, Le Gruenwald:
  Opening the Black Box of Feature Extraction: Incorporating Visualization into High-Dimensional Data Mining Processes. 1188-1192
  
• Xiaodan Zhang, Xiaohua Zhou, Xiaohua Hu:
  Semantic Smoothing for Model-based Document Clustering. 1193-1198
  
• Yan Zhang, Xingquan Zhu, Xindong Wu:
  Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners. 1199-1204
  
• Jianjun Zhou, Jörg Sander:
  Speedup Clustering with Hierarchical Ranking. 1205-1210
  
• Zhi-Hua Zhou, Hong-Bin Dai:
  Query-Sensitive Similarity Measure for Content-Based Image Retrieval. 1211-1215
  

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