Abstract is missing.
- Exploratory Mining in Cube SpaceRaghu Ramakrishnan. 6 [doi]
- Data Mining Methods for Modeling Gene Expression Regulation and Their ApplicationsWeixiong Zhang. 7 [doi]
- An Information Theoretic Approach to Detection of Minority Subsets in DatabaseShin Ando, Einoshin Suzuki. 11-20 [doi]
- Bayesian State Space Modeling Approach for Measuring the Effectiveness of Marketing Activities and Baseline Sales from POS DataTomohiro Ando. 21-32 [doi]
- Learning to Use a Learned Model: A Two-Stage Approach to ClassificationMaria-Luiza Antonie, Osmar R. Zaïane, Robert C. Holte. 33-42 [doi]
- Hierarchical Classification by Expected Utility MaximizationKorinna Bade, Eyke Hüllermeier, Andreas Nürnberger. 43-52 [doi]
- COALA: A Novel Approach for the Extraction of an Alternate Clustering of High Quality and High DissimilarityEric Bae, James Bailey. 53-62 [doi]
- Cluster Ranking with an Application to Mining Mailbox NetworksZiv Bar-Yossef, Ido Guy, Ronny Lempel, Yoëlle S. Maarek, Vladimir Soroka. 63-74 [doi]
- Large Scale Detection of Irregularities in Accounting DataStephen Bay, Krishna Kumaraswamy, Markus G. Anderle, Rohit Kumar, David M. Steier. 75-86 [doi]
- Adaptive Blocking: Learning to Scale Up Record LinkageMikhail Bilenko, Beena Kamath, Raymond J. Mooney. 87-96 [doi]
- Adaptive Parallel Graph Mining for CMP ArchitecturesGregory Buehrer, Srinivasan Parthasarathy, Yen-Kuang Chen. 97-106 [doi]
- Meta ClusteringRich Caruana, Mohamed Farid Elhawary, Nam Nguyen, Casey Smith. 107-118 [doi]
- Mixed-Drove Spatio-Temporal Co-occurence Pattern Mining: A Summary of ResultsMete Celik, Shashi Shekhar, James P. Rogers, James A. Shine, Jin Soung Yoo. 119-128 [doi]
- An Interactive Semantic Video Mining and Retrieval Platform--Application in Transportation Surveillance Video for Incident DetectionXin Chen, Chengcui Zhang. 129-138 [doi]
- delta-Tolerance Closed Frequent ItemsetsJames Cheng, Yiping Ke, Wilfred Ng. 139-148 [doi]
- Active Learning to Maximize Area Under the ROC CurveMatt Culver, Kun Deng, Stephen D. Scott. 149-158 [doi]
- Rapid Identification of Column HeterogeneityBing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian. 159-170 [doi]
- Data Mining Approaches to Criminal Career AnalysisJeroen S. de Bruin, Tim K. Cocx, Walter A. Kosters, Jeroen F. J. Laros, Joost N. Kok. 171-177 [doi]
- Biclustering Protein Complex Interactions with a Biclique Finding AlgorithmChris H. Q. Ding, Ya Zhang, Tao Li, Stephen R. Holbrook. 178-187 [doi]
- STAGGER: Periodicity Mining of Data Streams Using Expanding Sliding WindowsMohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagarmid. 188-199 [doi]
- Turning Clusters into Patterns: Rectangle-Based Discriminative Data DescriptionByron J. Gao, Martin Ester. 200-211 [doi]
- Converting Output Scores from Outlier Detection Algorithms into Probability EstimatesJing Gao, Pang-Ning Tan. 212-221 [doi]
- Personalization in Context: Does Context Matter When Building Personalized Customer Models?Michele Gorgoglione, Cosimo Palmisano, Alexander Tuzhilin. 222-231 [doi]
- Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in DataGunjan Gupta, Joydeep Ghosh. 232-243 [doi]
- Optimal Segmentation Using Tree ModelsRobert Gwadera, Aristides Gionis, Heikki Mannila. 244-253 [doi]
- Mining for Tree-Query Associations in a GraphEveline Hoekx, Jan Van den Bussche. 254-264 [doi]
- Global and Componentwise Extrapolation for Accelerating Data Mining from Large Incomplete Data Sets with the EM AlgorithmChun-Nan Hsu, Han-Shen Huang, Bo-Hou Yang. 265-274 [doi]
- Keyphrase Extraction Using Semantic Networks Structure AnalysisChong Huang, YongHong Tian, Zhi Zhou, Charles X. Ling, Tiejun Huang. 275-284 [doi]
- Subjectivity Categorization of Weblog with Part-of-Speech Based SmoothingShen Huang, Jian-Tao Sun, Xuanhui Wang, Hua-Jun Zeng, Zheng Chen. 285-294 [doi]
- Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text RetrievalXiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, Yang Liu, Josiah Poon. 295-306 [doi]
- Improving Personalization Solutions through Optimal Segmentation of Customer BasesTianyi Jiang, Alexander Tuzhilin. 307-318 [doi]
- Secure Distributed k-Anonymous Pattern MiningWei Jiang, Maurizio Atzori. 319-329 [doi]
- Dimension Reduction for Supervised OrderingToshihiro Kamishima, Shotaro Akaho. 330-339 [doi]
- A Parameterized Probabilistic Model of Network Evolution for Supervised Link PredictionHisashi Kashima, Naoki Abe. 340-349 [doi]
- Incremental Mining of Frequent Query Patterns from XML Queries for CachingGuoliang Li, Jianhua Feng, Jianyong Wang, Yong Zhang, Lizhu Zhou. 350-361 [doi]
- The Relationships Among Various Nonnegative Matrix Factorization Methods for ClusteringTao Li, Chris H. Q. Ding. 362-371 [doi]
- Integrating Features from Different Sources for Music Information RetrievalTao Li, Mitsunori Ogihara, Shenghuo Zhu. 372-381 [doi]
- How Bayesians DebugChao Liu, Zeng Lian, Jiawei Han. 382-393 [doi]
- On the Use of Structure and Sequence-Based Features for Protein Classification and RetrievalKeith Marsolo, Srinivasan Parthasarathy. 394-403 [doi]
- Accelerating Newton Optimization for Log-Linear Models through Feature RedundancyArpit Mathur, Soumen Chakrabarti. 404-413 [doi]
- P3C: A Robust Projected Clustering AlgorithmGabriela Moise, Jörg Sander, Martin Ester. 414-425 [doi]
- Frequent Closed Itemset Mining Using Prefix Graphs with an Efficient Flow-Based Pruning StrategyH. D. K. Moonesinghe, Samah Jamal Fodeh, Pang-Ning Tan. 426-435 [doi]
- Efficient Clustering of Uncertain DataWang Kay Ngai, Ben Kao, Chun Kit Chui, Reynold Cheng, Michael Chau, Kevin Y. Yip. 436-445 [doi]
- A Data Mining Approach for Capacity Building of Stakeholders in Integrated Flood ManagementPeter Owotoki, Natasa Manojlovic, Friedrich Mayer-Lindenberg, Erik Pasche. 446-455 [doi]
- Local Correlation Tracking in Time SeriesSpiros Papadimitriou, Jimeng Sun, Philip S. Yu. 456-465 [doi]
- Who Thinks Who Knows Who? Socio-cognitive Analysis of Email NetworksNishith Pathak, Sandeep Mane, Jaideep Srivastava. 466-477 [doi]
- An Efficient Reference-Based Approach to Outlier Detection in Large DatasetsYaling Pei, Osmar R. Zaïane, Yong Gao. 478-487 [doi]
- Using an Ensemble of One-Class SVM Classifiers to Harden Payload-based Anomaly Detection SystemsRoberto Perdisci, Guofei Gu, Wenke Lee. 488-498 [doi]
- Relational Ensemble ClassificationChristine Preisach, Lars Schmidt-Thieme. 499-509 [doi]
- Discovering Partial Orders in Binary DataDeepak Rajan, Philip S. Yu. 510-521 [doi]
- Stability Region Based Expectation Maximization for Model-based ClusteringChandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratnam. 522-531 [doi]
- Co-clustering Documents and Words Using Bipartite Isoperimetric Graph PartitioningManjeet Rege, Ming Dong, Farshad Fotouhi. 532-541 [doi]
- Latent Dirichlet Co-ClusteringM. Mahdi Shafiei, Evangelos E. Milios. 542-551 [doi]
- Latent Friend Mining from Blog DataDou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen. 552-561 [doi]
- The PDD Framework for Detecting Categories of Peculiar DataMahesh Shrestha, Howard J. Hamilton, Yiyu Yao, Ken Konkel, Liqiang Geng. 562-571 [doi]
- Entity Resolution with Markov LogicParag Singla, Pedro Domingos. 572-582 [doi]
- Boosting Kernel Models for RegressionPing Sun, Xin Yao. 583-591 [doi]
- Boosting for Learning Multiple Classes with Imbalanced Class DistributionYanmin Sun, Mohamed S. Kamel, Yang Wang. 592-602 [doi]
- What is the Dimension of Your Binary Data?Nikolaj Tatti, Taneli Mielikäinen, Aristides Gionis, Heikki Mannila. 603-612 [doi]
- Fast Random Walk with Restart and Its ApplicationsHanghang Tong, Christos Faloutsos, Jia-Yu Pan. 613-622 [doi]
- Anytime Classification Using the Nearest Neighbor Algorithm with Applications to Stream MiningKen Ueno, Xiaopeng Xi, Eamonn J. Keogh, Dah-Jye Lee. 623-632 [doi]
- Dirichlet Aspect Weighting: A Generalized EM Algorithm for Integrating External Data Fields with Semantically Structured Queries by Using Gradient Projection MethodAtulya Velivelli, Thomas S. Huang. 633-644 [doi]
- Lazy Associative ClassificationAdriano Veloso, Wagner Meira Jr., Mohammed J. Zaki. 645-654 [doi]
- Geometrically Inspired Itemset MiningFlorian Verhein, Sanjay Chawla. 655-666 [doi]
- Finding Who Is Talking to Whom in VoIP Networks via Progressive Stream ClusteringOlivier Verscheure, Michail Vlachos, Aris Anagnostopoulos, Pascal Frossard, Eric Bouillet, Philip S. Yu. 667-677 [doi]
- Comparison of Descriptor Spaces for Chemical Compound Retrieval and ClassificationNikil Wale, George Karypis. 678-689 [doi]
- Regularized Least Absolute Deviations Regression and an Efficient Algorithm for Parameter TuningLi Wang, Michael D. Gordon, Ji Zhu. 690-700 [doi]
- LOCI: Load Shedding through Class-Preserving Data AcquisitionPeng Wang, Haixun Wang, Wei Wang, Baile Shi, Philip S. Yu. 701-710 [doi]
- SAXually Explicit Images: Finding Unusual ShapesLi Wei, Eamonn J. Keogh, Xiaopeng Xi. 711-720 [doi]
- A Novel Scalable Algorithm for Supervised Subspace LearningJun Yan, Ning Liu, Benyu Zhang, Qiang Yang, Shuicheng Yan, Zheng Chen. 721-730 [doi]
- A Novel Method for Detecting Outlying Subspaces in High-dimensional Databases Using Genetic AlgorithmJi Zhang, Qigang Gao, Hai Wang. 731-740 [doi]
- Discovering Unrevealed Properties of Probability Estimation Trees: On Algorithm Selection and Performance ExplanationKun Zhang, Wei Fan, Bill P. Buckles, Xiaojing Yuan, Zujia Xu. 741-752 [doi]
- Forecasting Skewed Biased Stochastic Ozone Days: Analyses and SolutionsKun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, Xiangshang Li. 753-764 [doi]
- Identifying Follow-Correlation Itemset-PairsShichao Zhang, Jilian Zhang, Xiaofeng Zhu, Zifang Huang. 765-774 [doi]
- On the Lower Bound of Local Optimums in K-Means AlgorithmZhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung. 775-786 [doi]
- Fast On-line Kernel Learning for TreesFabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti, Alessandro Moschitti. 787-791 [doi]
- bitSPADE: A Lattice-based Sequential Pattern Mining Algorithm Using Bitmap RepresentationSujeevan Aseervatham, Aomar Osmani, Emmanuel Viennet. 792-797 [doi]
- Decision Trees for Functional VariablesSuhrid Balakrishnan, David Madigan. 798-802 [doi]
- Mining Latent Associations of Objects Using a Typed Mixture Model--A Case Study on Expert/Expertise MiningShenghua Bao, Yunbo Cao, Bing Liu, Yong Yu, Hang Li. 803-807 [doi]
- Semantic Kernels for Text Classification Based on Topological Measures of Feature SimilarityStephan Bloehdorn, Roberto Basili, Marco Cammisa, Alessandro Moschitti. 808-812 [doi]
- Mining Maximal Generalized Frequent Geographic Patterns with Knowledge ConstraintsVania Bogorny, João Francisco Valiati, Sandro da Silva Camargo, Paulo Martins Engel, Bart Kuijpers, Luis Otávio Alvares. 813-817 [doi]
- Pattern Mining in Frequent Dynamic SubgraphsKarsten M. Borgwardt, Hans-Peter Kriegel, Peter Wackersreuther. 818-822 [doi]
- Discovery of Collocation Episodes in Spatiotemporal DataHuiping Cao, Nikos Mamoulis, David W. Cheung. 823-827 [doi]
- Getting the Most Out of Ensemble SelectionRich Caruana, Art Munson, Alexandru Niculescu-Mizil. 828-833 [doi]
- Diverse Topic Phrase Extraction through Latent Semantic AnalysisJilin Chen, Jun Yan, Benyu Zhang, Qiang Yang, Zheng Chen. 834-838 [doi]
- AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern RecoveryHong Cheng, Philip S. Yu, Jiawei Han. 839-844 [doi]
- Belief Propagation in Large, Highly Connected Graphs for 3D Part-Based Object RecognitionFrank DiMaio, Jude W. Shavlik. 845-850 [doi]
- A Framework for Regional Association Rule Mining in Spatial DatasetsWei Ding, Christoph F. Eick, Jing Wang, Xiaojing Yuan. 851-856 [doi]
- Mining Generalized Graph Patterns Based on User ExamplesPavel Dmitriev, Carl Lagoze. 857-862 [doi]
- An Experimental Investigation of Graph Kernels on a Collaborative Recommendation TaskFrançois Fouss, Luh Yen, Alain Pirotte, Marco Saerens. 863-868 [doi]
- A Balanced Ensemble Approach to Weighting Classifiers for Text ClassificationGabriel Pui Cheong Fung, Jeffrey Xu Yu, Haixun Wang, David W. Cheung, Huan Liu. 869-873 [doi]
- Detection of Interdomain Routing Anomalies Based on Higher-Order Path AnalysisMurat Can Ganiz, Sudhan Kanitkar, Mooi Choo Chuah, William M. Pottenger. 874-879 [doi]
- Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information TheoryBin Gao, Tie-Yan Liu, Wei-Ying Ma. 880-884 [doi]
- GraphRank: Statistical Modeling and Mining of Significant Subgraphs in the Feature SpaceHuahai He, Ambuj K. Singh. 885-890 [doi]
- A Feature Selection and Evaluation Scheme for Computer Virus DetectionOlivier Henchiri, Nathalie Japkowicz. 891-895 [doi]
- Cluster Analysis of Time-Series Medical Data Based on the Trajectory Representation and Multiscale Comparison TechniquesShoji Hirano, Shusaku Tsumoto. 896-901 [doi]
- Constructing Ensembles for Better RankingJin Huang, Charles X. Ling. 902-906 [doi]
- TRIAS - An Algorithm for Mining Iceberg Tri-LatticesRobert Jäschke, Andreas Hotho, Christoph Schmitz, Bernhard Ganter, Gerd Stumme. 907-911 [doi]
- Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating SystemsEamonn J. Keogh, Li Wei, Xiaopeng Xi, Stefano Lonardi, Jin Shieh, Scott Sirowy. 912-916 [doi]
- COSMIC: Conceptually Specified Multi-Instance ClustersHans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert, Arthur Zimek. 917-921 [doi]
- Direct Marketing When There Are Voluntary BuyersYi-Ting Lai, Ke Wang, Daymond Ling, Hua Shi, Jason Zhang. 922-927 [doi]
- DSTree: A Tree Structure for the Mining of Frequent Sets from Data StreamsCarson Kai-Sang Leung, Quamrul I. Khan. 928-932 [doi]
- Searching for Pattern RulesGuichong Li, Howard J. Hamilton. 933-937 [doi]
- Adding Semantics to Email ClusteringHua Li, Dou Shen, Benyu Zhang, Zheng Chen, Qiang Yang. 938-942 [doi]
- Gradual Cube: Customize Profile on Mobile OLAPJun Li, Haofeng Zhou, Wei Wang. 943-947 [doi]
- CoMiner: An Effective Algorithm for Mining Competitors from the WebRui Li, Shenghua Bao, Jin Wang, Yong Yu, Yunbo Cao. 948-952 [doi]
- Multi-Tier Granule Mining for Representations of Multidimensional Association RulesYuefeng Li, Wanzhong Yang, Yue Xu. 953-958 [doi]
- Social Capital in Friendship-Event NetworksLouis Licamele, Lise Getoor. 959-964 [doi]
- Exploratory Under-Sampling for Class-Imbalance LearningXu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou. 965-969 [doi]
- The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical StudyXu-Ying Liu, Zhi-Hua Zhou. 970-974 [doi]
- Similarity of Temporal Query Logs Based on ARIMA ModelNing Liu, Shuzhen Nong, Jun Yan, Benyu Zhang, Zheng Chen, Ying Li. 975-979 [doi]
- Probabilistic Segmentation and Analysis of Horizontal CellsVebjorn Ljosa, Ambuj K. Singh. 980-985 [doi]
- Mining Correlation between Motifs and Gene ExpressionYi Lu, Shiyong Lu, Adrian E. Platts, Stephen A. Krawetz. 986-990 [doi]
- High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting ItemsetsHassan H. Malik, John R. Kender. 991-996 [doi]
- On Trajectory Representation for Scientific FeaturesSameep Mehta, Srinivasan Parthasarathy, Raghu Machiraju. 997-1001 [doi]
- NewsCATS: A News Categorization and Trading SystemMarc-André Mittermayer, Gerhard Knolmayer. 1002-1007 [doi]
- Improving Grouped-Entity Resolution Using Quasi-CliquesByung-Won On, Ergin Elmacioglu, Dongwon Lee, Jaewoo Kang, Jian Pei. 1008-1015 [doi]
- Fast Relevance Discovery in Time SeriesChang-Shing Perng, Haixun Wang, Sheng Ma. 1016-1020 [doi]
- Probabilistic Enhanced Mapping with the Generative Tabular ModelRodolphe Priam, Mohamed Nadif. 1021-1025 [doi]
- Object Identification with ConstraintsSteffen Rendle, Lars Schmidt-Thieme. 1026-1031 [doi]
- High-Performance Unsupervised Relation Extraction from Large CorporaBinyamin Rosenfeld, Ronen Feldman. 1032-1037 [doi]
- Cluster Based Core Vector MachineAsharaf S, M. Narasimha Murty, Shirish Krishnaj Shevade. 1038-1042 [doi]
- Enhancing Text Clustering Using Concept-based Mining ModelShady Shehata, Fakhri Karray, Mohamed S. Kamel. 1043-1048 [doi]
- Detecting Link Spam Using Temporal InformationGuoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Shiji Song, Hang Li. 1049-1053 [doi]
- Minimum Enclosing Spheres Formulations for Support Vector Ordinal RegressionShirish Krishnaj Shevade, Wei Chu. 1054-1058 [doi]
- Mining Maximal Quasi-Bicliques to Co-Cluster Stocks and Financial Ratios for Value InvestmentKelvin Sim, Jinyan Li, Vivekanand Gopalkrishnan, Guimei Liu. 1059-1063 [doi]
- Boosting the Feature Space: Text Classification for Unstructured Data on the WebYang Song, Ding Zhou, Jian Huang 0002, Isaac G. Councill, Hongyuan Zha, C. Lee Giles. 1064-1069 [doi]
- Plagiarism Detection in arXivDaria Sorokina, Johannes Gehrke, Simeon Warner, Paul Ginsparg. 1070-1075 [doi]
- Window-based Tensor Analysis on High-dimensional and Multi-aspect StreamsJimeng Sun, Spiros Papadimitriou, Philip S. Yu. 1076-1080 [doi]
- Automatic Single-Organ Segmentation in Computed Tomography ImagesRuchaneewan Susomboon, Daniela Raicu, Jacob Furst, David S. Channin. 1081-1086 [doi]
- Improving Nearest Neighbor Classifier Using Tabu Search and Ensemble Distance MetricsMuhammad Atif Tahir, Jim E. Smith. 1086-1090 [doi]
- Comparisons of K-Anonymization and Randomization Schemes under Linking AttacksZhouxuan Teng, Wenliang Du. 1091-1096 [doi]
- MARGIN: Maximal Frequent Subgraph MiningLini T. Thomas, Satyanarayana R. Valluri, Kamalakar Karlapalem. 1097-1101 [doi]
- Resource Management for Networked Classifiers in Distributed Stream Mining SystemsDeepak S. Turaga, Olivier Verscheure, Upendra V. Chaudhari, Lisa Amini. 1102-1107 [doi]
- A Simple Yet Effective Data Clustering AlgorithmSoujanya Vadapalli, Satyanarayana R. Valluri, Kamalakar Karlapalem. 1108-1112 [doi]
- Entropy-based Concept Shift DetectionPeter Vorburger, Abraham Bernstein. 1113-1118 [doi]
- Recommendation on Item GraphsFei Wang, Sheng Ma, Liuzhong Yang, Tao Li. 1119-1123 [doi]
- Solution Path for Semi-Supervised Classification with Manifold RegularizationGang Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky. 1124-1129 [doi]
- Semi-Supervised Kernel RegressionMeng Wang, Xian-Sheng Hua, Yan Song, Li-Rong Dai, HongJiang Zhang. 1130-1135 [doi]
- Mining Complex Time-Series Data by Learning Markovian ModelsYi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, Zhi-Qiang Liu. 1136-1140 [doi]
- Temporal Data Mining in Dynamic Feature SpacesBrent Wenerstrom, Christophe G. Giraud-Carrier. 1141-1145 [doi]
- Discover Bayesian Networks from Incomplete Data Using a Hybrid Evolutionary AlgorithmMan Leung Wong, Yuan Yuan Guo. 1146-1150 [doi]
- Distances and (Indefinite) Kernels for Sets of ObjectsAdam Woznica, Alexandros Kalousis, Melanie Hilario. 1151-1156 [doi]
- Deploying Approaches for Pattern Refinement in Text MiningSheng-Tang Wu, Yuefeng Li, Yue Xu. 1157-1161 [doi]
- TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large DatabasesHui Xiong, Mark Brodie, Sheng Ma. 1162-1166 [doi]
- Manifold Clustering of ShapesDragomir Yankov, Eamonn J. Keogh. 1167-1171 [doi]
- Linear and Non-Linear Dimensional Reduction via Class Representatives for Text ClassificationDimitrios Zeimpekis, Efstratios Gallopoulos. 1172-1177 [doi]
- Adaptive Kernel Principal Component Analysis with Unsupervised Learning of KernelsDaoqiang Zhang, Zhi-Hua Zhou, Songcan Chen. 1178-1182 [doi]
- Rule-Based Platform for Web User ProfilingJianping Zhang, Manu Shukla. 1183-1187 [doi]
- Opening the Black Box of Feature Extraction: Incorporating Visualization into High-Dimensional Data Mining ProcessesJianting Zhang, Le Gruenwald. 1188-1192 [doi]
- Semantic Smoothing for Model-based Document ClusteringXiaodan Zhang, Xiaohua Zhou, Xiaohua Hu. 1193-1198 [doi]
- Corrective Classification: Classifier Ensembling with Corrective and Diverse Base LearnersYan Zhang, Xingquan Zhu, Xindong Wu. 1199-1204 [doi]
- Speedup Clustering with Hierarchical RankingJianjun Zhou, Jörg Sander. 1205-1210 [doi]
- Query-Sensitive Similarity Measure for Content-Based Image RetrievalZhi-Hua Zhou, Hong-Bin Dai. 1211-1215 [doi]