Abstract is missing.
- Protection or Privacy? Data Mining and Personal DataDavid J. Hand. 1-10 [doi]
- The Changing Face of Web SearchPrabhakar Raghavan. 11 [doi]
- Data Mining for Surveillance ApplicationsBhavani M. Thuraisingham. 12-14 [doi]
- A Multiclass Classification Method Based on Output DesignQi Qiang, Qinming He. 15-19 [doi]
- Regularized Semi-supervised Classification on ManifoldLianwei Zhao, Siwei Luo, Yanchang Zhao, Lingzhi Liao, Zhihai Wang. 20-29 [doi]
- Similarity-Based Sparse Feature Extraction Using Local Manifold LearningCheong Hee Park. 30-34 [doi]
- Generalized Conditional Entropy and a Metric Splitting Criterion for Decision TreesDan A. Simovici, Szymon Jaroszewicz. 35-44 [doi]
- RNBL-MN: A Recursive Naive Bayes Learner for Sequence ClassificationDae-Ki Kang, Adrian Silvescu, Vasant Honavar. 45-54 [doi]
- TRIPPER: Rule Learning Using TaxonomiesFlavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant Honavar. 55-59 [doi]
- Using Weighted Nearest Neighbor to Benefit from Unlabeled DataKurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi. 60-69 [doi]
- Constructive Meta-level Feature Selection Method Based on Method RepositoriesHidenao Abe, Takahira Yamaguchi. 70-80 [doi]
- Variable Randomness in Decision Tree EnsemblesFei Tony Liu, Kai Ming Ting. 81-90 [doi]
- Further Improving Emerging Pattern Based Classifiers Via BaggingHongjian Fan, Ming Fan, Kotagiri Ramamohanarao, Mengxu Liu. 91-96 [doi]
- Improving on Bagging with Input SmearingEibe Frank, Bernhard Pfahringer. 97-106 [doi]
- Boosting Prediction Accuracy on Imbalanced Datasets with SVM EnsemblesYang Liu, Aijun An, Xiangji Huang. 107-118 [doi]
- DeLi-Clu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair RankingElke Achtert, Christian Böhm, Peer Kröger. 119-128 [doi]
- Iterative Clustering Analysis for Grouping Missing Data in Gene Expression ProfilesDae Won Kim, Bo-Yeong Kang. 129-138 [doi]
- An EM-Approach for Clustering Multi-Instance ObjectsHans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert. 139-148 [doi]
- Mining Maximal Correlated Member Clusters in High Dimensional DatabaseLizheng Jiang, Dongqing Yang, Shiwei Tang, Xiuli Ma, Dehui Zhang. 149-159 [doi]
- Hierarchical Clustering Based on Mathematical OptimizationLe Hoai Minh, Le Thi Hoai An, Pham Dinh Tao. 160-173 [doi]
- Clustering Multi-represented Objects Using Combination TreesElke Achtert, Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert. 174-178 [doi]
- Parallel Density-Based Clustering of Complex ObjectsStefan Brecheisen, Hans-Peter Kriegel, Martin Pfeifle. 179-188 [doi]
- Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means ClusteringYunming Ye, Joshua Zhexue Huang, Xiaojun Chen, Shuigeng Zhou, Graham J. Williams, Xiaofei Xu. 189-198 [doi]
- Uncertain Data Mining: An Example in Clustering Location DataMichael Chau, Reynold Cheng, Ben Kao, Jackey Ng. 199-204 [doi]
- Parallel Randomized Support Vector MachineYumao Lu, Vwani P. Roychowdhury. 205-214 [doi]
- epsilon-Tube Based Pattern Selection for Support Vector MachinesDongil Kim, Sungzoon Cho. 215-224 [doi]
- Self-adaptive Two-Phase Support Vector Clustering for Multi-Relational Data MiningPing Ling, Yan Wang, Chunguang Zhou. 225-229 [doi]
- One-Class Support Vector Machines for Recommendation TasksYasutoshi Yajima. 230-239 [doi]
- Heterogeneous Information Integration in Hierarchical Text ClassificationHuai-Yuan Yang, Tie-Yan Liu, Li Gao, Wei-Ying Ma. 240-249 [doi]
- FISA: Feature-Based Instance Selection for Imbalanced Text ClassificationAixin Sun, Ee-Peng Lim, Boualem Benatallah, Mahbub Hassan. 250-254 [doi]
- Dynamic Category Profiling for Text Filtering and ClassificationRey-Long Liu. 255-264 [doi]
- Detecting Citation Types Using Finite-State MachinesMinh-Hoang Le, Tu Bao Ho, Yoshiteru Nakamori. 265-274 [doi]
- A Systematic Study of Parameter Correlations in Large Scale Duplicate Document DetectionShaozhi Ye, Ji-Rong Wen, Wei-Ying Ma. 275-284 [doi]
- Comparison of Documents Classification Techniques to Classify Medical ReportsFathi H. Saad, Beatriz de la Iglesia, Duncan G. Bell. 285-291 [doi]
- XCLS: A Fast and Effective Clustering Algorithm for Heterogenous XML DocumentsRichi Nayak, Sumei Xu. 292-302 [doi]
- Clustering Large Collection of Biomedical Literature Based on Ontology-Enriched Bipartite Graph Representation and Mutual Refinement StrategyIllhoi Yoo, Xiaohua Hu. 303-312 [doi]
- Level-Biased Statistics in the Hierarchical Structure of the WebGuang Feng, Tie-Yan Liu, Xu-Dong Zhang, Wei-Ying Ma. 313-322 [doi]
- Cleopatra: Evolutionary Pattern-Based Clustering of Web Usage DataQiankun Zhao, Sourav S. Bhowmick, Le Gruenwald. 323-333 [doi]
- Extracting and Summarizing Hot Item Features Across Different Auction Web SitesTak-Lam Wong, Wai Lam, Shing-Kit Chan. 334-345 [doi]
- Clustering Web Sessions by Levels of Page SimilarityCaren Moraes Nichele, Karin Becker. 346-350 [doi]
- ::::i::::Wed: An Integrated Multigraph Cut-Based Approach for Detecting Events from a WebsiteQiankun Zhao, Sourav S. Bhowmick, Aixin Sun. 351-360 [doi]
- Enhancing Duplicate Collection Detection Through Replica Boundary DiscoveryZhigang Zhang, Weijia Jia, Xiaoming Li. 361-370 [doi]
- Summarization and Visualization of Communication Patterns in a Large-Scale Social NetworkPreetha Appan, Hari Sundaram, Belle L. Tseng. 371-379 [doi]
- Patterns of Influence in a Recommendation NetworkJure Leskovec, Ajit Singh, Jon M. Kleinberg. 380-389 [doi]
- Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based InductionPhu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda, Takashi Washio. 390-399 [doi]
- Combining Smooth Graphs with Semi-supervised ClassificationXueyuan Zhou, Chunping Li. 400-409 [doi]
- Network Data Mining: Discovering Patterns of Interaction Between AttributesJohn Galloway, Simeon J. Simoff. 410-414 [doi]
- SGPM: Static Group Pattern Mining Using Apriori-Like Sliding WindowJohn Goh, David Taniar, Ee-Peng Lim. 415-424 [doi]
- Mining Temporal Indirect AssociationsLing Chen 0002, Sourav S. Bhowmick, Jinyan Li. 425-434 [doi]
- Mining Top-K Frequent Closed Itemsets Is Not in APXChienwen Wu. 435-439 [doi]
- Quality-Aware Association Rule MiningLaure Berti-Equille. 440-449 [doi]
- IMB3-Miner: Mining Induced/Embedded Subtrees by Constraining the Level of EmbeddingHenry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabeth Chang, Ling Feng. 450-461 [doi]
- Maintaining Frequent Itemsets over High-Speed Data StreamsJames Cheng, Yiping Ke, Wilfred Ng. 462-467 [doi]
- Generalized Disjunction-Free Representation of Frequents Patterns with at Most ::::k:::: NegationsMarzena Kryszkiewicz. 468-472 [doi]
- Mining Interesting Imperfectly Sporadic RulesYun Sing Koh, Nathan Rountree, Richard A. O Keefe. 473-482 [doi]
- Improved Negative-Border Online Mining ApproachesChing-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong. 483-492 [doi]
- Association-Based Dissimilarity Measures for Categorical Data: Limitation and ImprovementSi Quang Le, Tu Bao Ho, Le Sy Vinh. 493-498 [doi]
- Is Frequency Enough for Decision Makers to Make Decisions?Shichao Zhang, Jeffrey Xu Yu, Jingli Lu, Chengqi Zhang. 499-503 [doi]
- ::::Ramp::::: High Performance Frequent Itemset Mining with Efficient Bit-Vector Projection TechniqueShariq Bashir, Abdul Rauf Baig. 504-508 [doi]
- Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation IndicesHidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi. 509-519 [doi]
- Scoring Method for Tumor Prediction from Microarray Data Using an Evolutionary Fuzzy ClassifierShinn-Ying Ho, Chih-Hung Hsieh, Kuan-Wei Chen, Hui-Ling Huang, Hung-Ming Chen, Shinn-Jang Ho. 520-529 [doi]
- Efficient Discovery of Structural Motifs from Protein Sequences with Combination of Flexible Intra- and Inter-block Gap ConstraintsChen-Ming Hsu, Chien-Yu Chen, Ching-Chi Hsu, Baw-Jhiune Liu. 530-539 [doi]
- Finding Consensus Patterns in Very Scarce Biosequence Samples from Their Minimal Multiple GeneralizationsYen Kaow Ng, Takeshi Shinohara. 540-545 [doi]
- Kernels on Lists and Sets over Relational Algebra: An Application to Classification of Protein FingerprintsAdam Woznica, Alexandros Kalousis, Melanie Hilario. 546-551 [doi]
- Mining Quantitative Maximal Hyperclique Patterns: A Summary of ResultsYaochun Huang, Hui Xiong, Weili Wu, Sam Yuan Sung. 552-556 [doi]
- A Nonparametric Outlier Detection for Effectively Discovering Top-N Outliers from Engineering DataHongqin Fan, Osmar R. Zaïane, Andrew Foss, Junfeng Wu. 557-566 [doi]
- A Fast Greedy Algorithm for Outlier MiningZengyou He, Shengchun Deng, Xiaofei Xu, Joshua Zhexue Huang. 567-576 [doi]
- Ranking Outliers Using Symmetric Neighborhood RelationshipWen Jin, Anthony K. H. Tung, Jiawei Han, Wei Wang. 577-593 [doi]
- Construction of Finite Automata for Intrusion Detection from System Call Sequences by Genetic AlgorithmsKyubum Wee, Sinjae Kim. 594-602 [doi]
- An Adaptive Intrusion Detection Algorithm Based on Clustering and Kernel-MethodHansung Lee, Yongwha Chung, Daihee Park. 603-610 [doi]
- Weighted Intra-transactional Rule Mining for Database Intrusion DetectionAbhinav Srivastava, Shamik Sural, Arun K. Majumdar. 611-620 [doi]
- On Robust and Effective K-Anonymity in Large DatabasesWen Jin, Rong Ge, Weining Qian. 621-636 [doi]
- Achieving Private Recommendations Using Randomized Response TechniquesHuseyin Polat, Wenliang Du. 637-646 [doi]
- Privacy-Preserving SVM Classification on Vertically Partitioned DataHwanjo Yu, Jaideep Vaidya, Xiaoqian Jiang. 647-656 [doi]
- Data Mining Using Relational Database Management SystemsBeibei Zou, Xuesong Ma, Bettina Kemme, Glen Newton, Doina Precup. 657-667 [doi]
- Bias-Free Hypothesis Evaluation in Multirelational DomainsChristine Körner, Stefan Wrobel. 668-672 [doi]
- Enhanced DB-Subdue: Supporting Subtle Aspects of Graph Mining Using a Relational ApproachRamanathan Balachandran, Srihari Padmanabhan, Sharma Chakravarthy. 673-678 [doi]
- Multimedia Semantics Integration Using Linguistic ModelBo Yang, Ali R. Hurson. 679-688 [doi]
- A Novel Indexing Approach for Efficient and Fast Similarity Search of Captured MotionsChuanjun Li, B. Prabhakaran. 689-698 [doi]
- Mining Frequent Spatial Patterns in Image DatabasesWei-Ta Chen, Yi-ling Chen, Ming-Syan Chen. 699-703 [doi]
- Image Classification Via LZ78 Based String Kernel: A Comparative StudyMing Li, Yanong Zhu. 704-712 [doi]
- Distributed Pattern Discovery in Multiple StreamsJimeng Sun, Spiros Papadimitriou, Christos Faloutsos. 713-718 [doi]
- COMET: Event-Driven Clustering over Multiple Evolving StreamsMi-Yen Yeh, Bi-Ru Dai, Ming-Syan Chen. 719-723 [doi]
- Variable Support Mining of Frequent Itemsets over Data Streams Using Synopsis VectorsMing-Yen Lin, Sue-Chen Hsueh, Sheng-Kun Hwang. 724-728 [doi]
- Hardware Enhanced Mining for Association RulesWei-Chuan Liu, Ken-Hao Liu, Ming-Syan Chen. 729-738 [doi]
- A Single Index Approach for Time-Series Subsequence Matching That Supports Moving Average Transform of Arbitrary OrderYang-Sae Moon, Jin-Ho Kim. 739-749 [doi]
- Efficient Mining of Emerging Events in a Dynamic Spatiotemporal EnvironmentYu Meng, Margaret H. Dunham. 750-754 [doi]
- A Multi-Hierarchical Representation for Similarity Measurement of Time SeriesXinqiang Zuo, Xiaoming Jin. 755-764 [doi]
- Multistep-Ahead Time Series PredictionHaibin Cheng, Pang-Ning Tan, Jing Gao, Jerry Scripps. 765-774 [doi]
- Sequential Pattern Mining with Time IntervalsYu Hirate, Hayato Yamana. 775-779 [doi]
- A Wavelet Analysis Based Data Processing for Time Series of Data Mining PredictingWeimin Tong, Yijun Li, Qiang Ye. 780-789 [doi]
- Intelligent Particle Swarm Optimization in Multi-objective ProblemsShinn-Jang Ho, Wen-Yuan Ku, Jun-Wun Jou, Ming-Hao Hung, Shinn-Ying Ho. 790-800 [doi]
- Hidden Space Principal Component AnalysisWeida Zhou, Li Zhang, Licheng Jiao. 801-805 [doi]
- Neighbor Line-Based Locally Linear EmbeddingDe-Chuan Zhan, Zhi-Hua Zhou. 806-815 [doi]
- Predicting Rare Extreme ValuesLuís Torgo, Rita Ribeiro. 816-820 [doi]
- Domain-Driven Actionable Knowledge Discovery in the Real WorldLongbing Cao, Chengqi Zhang. 821-830 [doi]
- Evaluation of Attribute-Aware Recommender System Algorithms on Data with Varying CharacteristicsKaren H. L. Tso, Lars Schmidt-Thieme. 831-840 [doi]
- An Intelligent System Based on Kernel Methods for Crop Yield PredictionA. Majid Awan, Mohd. Noor Md. Sap. 841-846 [doi]
- A Machine Learning Application for Human Resource Data Mining ProblemZhen Xu, Binheng Song. 847-856 [doi]
- Towards Automated Design of Large-Scale Circuits by Combining Evolutionary Design with Data MiningShuguang Zhao, Mingying Zhao, Jun Zhao, Licheng Jiao. 857-866 [doi]
- Mining Unexpected Associations for Signalling Potential Adverse Drug Reactions from Administrative Health DatabasesHuidong Jin, Jie Chen, Chris Kelman, Hongxing He, Damien McAullay, Christine M. O Keefe. 867-876 [doi]