Abstract is missing.
- Efficient Multidimensional Quantitative Hypotheses GenerationAmihood Amir, Reuven Kashi, Nathan S. Netanyahu. 3-10 [doi]
- ExAMiner: Optimized Level-wise Frequent Pattern Mining with Monotone ConstraintFrancesco Bonchi, Fosca Giannotti, Alessio Mazzanti, Dino Pedreschi. 11-18 [doi]
- Mining High Utility ItemsetsRaymond Chan, Qiang Yang, Yi-Dong Shen. 19-26 [doi]
- Zigzag: a new algorithm for mining large inclusion dependencies in databaseFabien De Marchi, Jean-Marc Petit. 27-34 [doi]
- Frequent Sub-Structure-Based Approaches for Classifying Chemical CompoundsMukund Deshpande, Michihiro Kuramochi, George Karypis. 35-42 [doi]
- Optimized Disjunctive Association Rules via SamplingJoseph Elble, Cinda Heeren, Leonard Pitt. 43-50 [doi]
- Is random model better? On its accuracy and efficiencyWei Fan, Haixun Wang, Philip S. Yu, Sheng Ma. 51-58 [doi]
- Identifying Markov Blankets with Decision Tree InductionLewis Frey, Douglas H. Fisher, Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov. 59-66 [doi]
- Reliable Detection of Episodes in Event SequencesRobert Gwadera, Mikhail J. Atallah, Wojciech Szpankowski. 67-74 [doi]
- A Dynamic Adaptive Self-Organising Hybrid Model for Text ClusteringChihli Hung, Stefan Wermter. 75-82 [doi]
- Mining Significant Pairs of Patterns from Graph Structures with Class LabelsAkihiro Inokuchi, Hisashi Kashima. 83-90 [doi]
- Scalable Model-based Clustering by Working on Data SummariesHuidong Jin, Man Leung Wong, Kwong-Sak Leung. 91-98 [doi]
- On the Privacy Preserving Properties of Random Data Perturbation TechniquesHillol Kargupta, Souptik Datta, Qi Wang, Krishnamoorthy Sivakumar. 99-106 [doi]
- Semantic Log Analysis Based on a User Query Behavior ModelKawamae Noriaki, Takeya Mukaigaito, Hanaki Miyoshi. 107-114 [doi]
- Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future ResearchEamonn J. Keogh, Jessica Lin, Wagner Truppel. 115-122 [doi]
- Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept DriftJeremy Z. Kolter, Marcus A. Maloof. 123-130 [doi]
- Probabilistic Noise Identification and Data CleaningJeremy Kubica, Andrew W. Moore. 131-138 [doi]
- Localized Prediction of Continuous Target Variables Using Hierarchical ClusteringAleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath, Vipin Kumar, Kumar K. Tamma. 139-146 [doi]
- An Algebra for Inductive Query EvaluationSau Dan Lee, Luc De Raedt. 147-154 [doi]
- Direct Interesting Rule GenerationJiuyong Li, Yanchun Zhang. 155-162 [doi]
- Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media DataQi Li, Jieping Ye, Chandra Kambhamettu. 163-170 [doi]
- Unsupervised Link Discovery in Multi-relational Data via Rarity AnalysisShou-de Lin, Hans Chalupsky. 171-178 [doi]
- Building Text Classifiers Using Positive and Unlabeled ExamplesBing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip S. Yu. 179-188 [doi]
- OP-Cluster: Clustering by Tendency in High Dimensional SpaceJinze Liu, Wei Wang 0010. 187-194 [doi]
- Parsing Without a Grammar: Making Sense of Unknown File FormatsLevon Lloyd, Steven Skiena. 195-202 [doi]
- Probabilistic User Behavior ModelsEren Manavoglu, Dmitry Pavlov, C. Lee Giles. 203-210 [doi]
- Privacy-preserving Distributed Clustering using Generative ModelsSrujana Merugu, Joydeep Ghosh. 211-218 [doi]
- Change ProfilesTaneli Mielikäinen. 219-226 [doi]
- Complex Spatial RelationshipsRobert Munro, Sanjay Chawla, Pei Sun. 227-234 [doi]
- TECNO-STREAMS: Tracking Evolving Clusters in Noisy Data Streams with a Scalable Immune System Learning ModelOlfa Nasraoui, Cesar Cardona Uribe, Carlos Rojas Coronel, Fabio A. González. 235-242 [doi]
- Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel FunctionsCheong Hee Park, Haesun Park. 243-250 [doi]
- Sequence Modeling with Mixtures of Conditional Maximum Entropy DistributionsDmitry Pavlov. 251-258 [doi]
- MaPle: A Fast Algorithm for Maximal Pattern-based ClusteringJian Pei, Xiaoling Zhang, Moonjung Cho, Haixun Wang, Philip S. Yu. 259-266 [doi]
- Exploiting Unlabeled Data for Improving Accuracy of Predictive Data MiningKang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Zoran Obradovic. 267-274 [doi]
- Statistical Relational Learning for Document MiningAlexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock. 275-282 [doi]
- Integrating Customer Value Considerations into Predictive ModelingSaharon Rosset, Einat Neumann. 283-290 [doi]
- A High-Performance Distributed Algorithm for Mining Association RulesAssaf Schuster, Ran Wolff, Dan Trock. 291-298 [doi]
- Introducing Uncertainty into Pattern Discovery in Temporal Event SequencesXingzhi Sun, Maria E. Orlowska, Xue Li. 299-306 [doi]
- Evolutionary Gabor Filter Optimization with Application to Vehicle DetectionZehang Sun, George Bebis, Ronald Miller. 307-314 [doi]
- Detecting Interesting Exceptions from Medical Test Data with Visual SummarizationEinoshin Suzuki, Takeshi Watanabe, Hideto Yokoi, Katsuhiko Takabayashi. 315-322 [doi]
- Learning Bayesian Networks from Incomplete Data Based on EMI MethodFengzhan Tian, Hongwei Zhang, Yuchang Lu. 323-330 [doi]
- Combining Multiple Weak ClusteringsAlexander P. Topchy, Anil K. Jain, William F. Punch. 331-338 [doi]
- Visualization of Rule s Similarity using Multidimensional ScalingShusaku Tsumoto, Shoji Hirano. 339-346 [doi]
- TSP: Mining Top-K Closed Sequential PatternsPetre Tzvetkov, Xifeng Yan, Jiawei Han. 347-354 [doi]
- Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic SpaceJörg A. Walter, Jörg Ontrup, Daniel Wessling, Helge Ritter. 355-362 [doi]
- Association Rule Mining in Peer-to-Peer SystemsRan Wolff, Assaf Schuster. 363-370 [doi]
- MPIS: Maximal-Profit Item Selection with Cross-Selling ConsiderationsRaymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang. 371-378 [doi]
- Efficient Data Mining for Maximal Frequent SubtreesYongqiao Xiao, Jenq-Foung Yao, Zhigang Li, Margaret H. Dunham. 379-386 [doi]
- Mining Strong Affinity Association Patterns in Data Sets with Skewed Support DistributionHui Xiong, Pang-Ning Tan, Vipin Kumar. 387-394 [doi]
- On Precision and Recall of Multi-Attribute Data Extraction from Semistructured SourcesGuizhen Yang, Saikat Mukherjee, I. V. Ramakrishnan. 395-402 [doi]
- Mining Plans for Customer-Class TransformationQiang Yang, Hong Cheng. 403-410 [doi]
- Segmenting Customer Transactions Using a Pattern-Based Clustering ApproachYinghui Yang, Balaji Padmanabhan. 411-418 [doi]
- A new optimization criterion for generalized discriminant analysis on undersampled problemsJieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park. 419-426 [doi]
- Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing TechniquesJeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, Wayne Niblack. 427-434 [doi]
- Cost-Sensitive Learning by Cost-Proportionate Example WeightingBianca Zadrozny, John Langford, Naoki Abe. 435 [doi]
- CBC: Clustering Based Text Classification Requiring Minimal Labeled DataHua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu, Wei-Ying Ma. 443-450 [doi]
- Regression ClusteringBin Zhang. 451 [doi]
- Integrating Fuzziness into OLAP for Multidimensional Fuzzy Association Rules MiningReda Alhajj, Mehmet Kaya. 469-472 [doi]
- Analyzing High-Dimensional Data by Subspace ValidityAmihood Amir, Reuven Kashi, Nathan S. Netanyahu, Daniel A. Keim, Markus Wawryniuk. 473-476 [doi]
- Objective and Subjective Algorithms for Grouping Association RulesAijun An, Shakil M. Khan, Xiangji Huang. 477-480 [doi]
- Efficient Subsequence Matching in Time Series Databases Under Time and Amplitude TransformationsTassos Argyros, Charis Ermopoulos. 481-484 [doi]
- A Fast Algorithm for Computing Hypergraph Transversals and its Application in Mining Emerging PatternsJames Bailey, Thomas Manoukian, Kotagiri Ramamohanarao. 485-488 [doi]
- Mining Relevant Text from Unlabelled DocumentsDaniel Barbará, Carlotta Domeniconi, Ning Kang. 489-492 [doi]
- A User-driven and Quality-oriented Visualization for Mining Association RulesJulien Blanchard, Fabrice Guillet, Henri Briand. 493-496 [doi]
- Towards Simple, Easy-to-Understand, yet Accurate ClassifiersDoina Caragea, Dianne Cook, Vasant Honavar. 497-500 [doi]
- Validating and Refining Clusters via Visual RenderingKeke Chen, Ling Liu. 501-504 [doi]
- Icon-based Visualization of Large High-Dimensional DatasetsPing Chen, Chenyi Hu, Wei Ding, Heloise Lynn, Yves Simon. 505-508 [doi]
- Indexing and Mining Free TreesYun Chi, Yirong Yang, Richard R. Muntz. 509-512 [doi]
- T-Trees, Vertical Partitioning and Distributed Association Rule MiningFrans Coenen, Paul H. Leng, Shakil Ahmed. 513-516 [doi]
- Information Theoretic Clustering of Sparse Co-Occurrence DataInderjit S. Dhillon, Yuqiang Guan. 517-520 [doi]
- Links Between Kleinberg s Hubs and Authorities, Correspondence Analysis, and Markov ChainsFrançois Fouss, Marco Saerens, Jean-Michel Renders. 521-524 [doi]
- Fast PNN-based Clustering Using K-nearest Neighbor GraphPasi Fränti, Olli Virmajoki, Ville Hautamäki. 525-528 [doi]
- The Rough Set Approach to Association Rule MiningJ. W. Guan, David A. Bell, Dayou Liu. 529-532 [doi]
- Comparing Pure Parallel Ensemble Creation Techniques Against BaggingLawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich. 533-536 [doi]
- Improving Home Automation by Discovering Regularly Occurring Device Usage PatternsEdwin O. Heierman III, Diane J. Cook. 537-540 [doi]
- Ontologies Improve Text Document ClusteringAndreas Hotho, Steffen Staab, Gerd Stumme. 541-544 [doi]
- The Hybrid Poisson Aspect Model for Personalized Shopping RecommendationChun-Nan Hsu, Hao-Hsiang Chung, Han-Shen Huang. 545-548 [doi]
- Efficient Mining of Frequent Subgraphs in the Presence of IsomorphismJun Huan, Wei Wang 0010, Jan Prins. 549-552 [doi]
- Comparing Naive Bayes, Decision Trees, and SVM with AUC and AccuracyJin Huang, Jingjing Lu, Charles X. Ling. 553-556 [doi]
- SVM Based Models for Predicting Foreign Currency Exchange RatesJoarder Kamruzzaman, Ruhul A. Sarker, Iftekhar Ahmad. 557-560 [doi]
- Facilitating Fuzzy Association Rules Mining by Using Multi-Objective Genetic Algorithms for Automated ClusteringMehmet Kaya, Reda Alhajj. 561-564 [doi]
- PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data SetsDaniel A. Keim, Christian Panse, Mike Sips, Stephen C. North. 565-568 [doi]
- Effectiveness of Information Extraction, Multi-Relational, and Semi-Supervised Learning for Predicting Functional Properties of GenesMark-A. Krogel, Tobias Scheffer. 569-572 [doi]
- Tractable Group Detection on Large Link Data SetsJeremy Kubica, Andrew W. Moore, Jeff G. Schneider. 573-576 [doi]
- Tree-structured Partitioning Based on Splitting Histograms of DistancesLongin Jan Latecki, Rajagopal Venugopal, Marc Sobel, Steve Horvat. 577-580 [doi]
- CoMine: Efficient Mining of Correlated PatternsYoung-Koo Lee, Won-Young Kim, Y. Dora Cai, Jiawei Han. 581-584 [doi]
- Ensembles of Cascading TreesJinyan Li, Huiqing Liu. 585-588 [doi]
- Using Discriminant Analysis for Multi-class ClassificationTao Li, Shenghuo Zhu, Mitsunori Ogihara. 589-592 [doi]
- Interpretations of Association Rules by Granular ComputingYuefeng Li, Ning Zhong. 593-596 [doi]
- Algorithms for Spatial Outlier DetectionChang-Tien Lu, Dechang Chen, Yufeng Kou. 597-600 [doi]
- Learning Rules for Anomaly Detection of Hostile Network TrafficMatthew V. Mahoney, Philip K. Chan. 601-604 [doi]
- An Algorithm for the Exact Computation of the Centroid of Higher Dimensional Polyhedra and its Application to Kernel MachinesFrédéric Maire. 605-608 [doi]
- Simple Estimators for Relational Bayesian ClassifiersJennifer Neville, David Jensen, Brian Gallagher. 609-612 [doi]
- Protecting Sensitive Knowledge By Data SanitizationStanley R. M. Oliveira, Osmar R. Zaïane. 613-616 [doi]
- Mining Frequent Itemsets in Distributed and Dynamic DatabasesMatthew Eric Otey, Chao Wang, Srinivasan Parthasarathy, Adriano Veloso, Wagner Meira Jr.. 617-620 [doi]
- Structure Search and Stability Enhancement of Bayesian NetworksHanchuan Peng, Chris H. Q. Ding. 621-624 [doi]
- Privacy-Preserving Collaborative Filtering Using Randomized Perturbation TechniquesHuseyin Polat, Wenliang Du. 625-628 [doi]
- Semantic Role Parsing: Adding Semantic Structure to Unstructured TextSameer Pradhan, Kadri Hacioglu, Wayne Ward, James H. Martin, Daniel Jurafsky. 629-632 [doi]
- Mining Semantic Networks for Knowledge DiscoveryKanagasabai Rajaraman, Ah-Hwee Tan. 633-636 [doi]
- Impact Studies and Sensitivity Analysis in Medical Data Mining with ROC-based Genetic LearningMichèle Sebag, Jérôme Azé, Noël Lucas. 637-640 [doi]
- K-D Decision Tree: An Accelerated and Memory Efficient Nearest Neighbor ClassifierTomoyuki Shibata, Takekazu Kato, Toshikazu Wada. 641-644 [doi]
- Mining the Web to Discover the Meanings of an Ambiguous WordRaz Tamir, Reinhard Rapp. 645-648 [doi]
- A Hybrid Data-Mining Approach in Genomics and Text StructuresHoria-Nicolai L. Teodorescu, Lucian Iulian Fira. 649-652 [doi]
- Model Stability: A key factor in determining whether an algorithm produces an optimal model from a matching distributionKai Ming Ting, Regina Jing Ying Quek. 653-656 [doi]
- Enhancing Techniques for Efficient Topic Hierarchy IntegrationJyh-Jong Tsay, Hsuan-Yu Chen, Chi-Feng Chang, Ching-Han Lin. 657-660 [doi]
- Pattern Discovery based on Rule Induction and Taxonomy GenerationShusaku Tsumoto, Shoji Hirano. 661-664 [doi]
- Active Sampling for Feature SelectionSriharsha Veeramachaneni, Paolo Avesani. 665-668 [doi]
- Combining the web content and usage mining to understand the visitor behavior in a web siteJuan D. Velásquez, Hiroshi Yasuda, Terumasa Aoki. 669-672 [doi]
- Class Decomposition via Clustering: A New Framework for Low-Variance ClassifiersRicardo Vilalta, Murali-Krishna Achari, Christoph F. Eick. 673-676 [doi]
- Bootstrapping Rule InductionLemuel R. Waitman, Douglas H. Fisher, Paul H. King. 677-680 [doi]
- Center-Based Indexing for Nearest Neighbors SearchArkadiusz Wojna. 681-684 [doi]
- Postprocessing Decision Trees to Extract Actionable KnowledgeQiang Yang, Jie Yin, Charles X. Ling, Tielin Chen. 685-688 [doi]
- Frequent-Pattern based Iterative Projected ClusteringMan Lung Yiu, Nikos Mamoulis. 689-692 [doi]
- General MC: Estimating Boundary of Positive Class from Small Positive DataHwanjo Yu. 693-696 [doi]
- Clustering Item Data Sets with Association-Taxonomy SimilarityChing-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen. 697-700 [doi]
- Dimensionality Reduction Using Kernel Pooled Local Discriminant InformationPeng Zhang, Jing Peng, Carlotta Domeniconi. 701-704 [doi]
- A Feature Selection Framework for Text FilteringZhaohui Zheng, Rohini K. Srihari, Sargur N. Srihari. 705-708 [doi]
- A K-NN Associated Fuzzy Evidential Reasoning Classifier with Adaptive Neighbor SelectionHongwei Zhu, Otman A. Basir. 709 [doi]
- Findings from a Practical Project Concerning Web Usage MiningFrank Dellmann, Holger Wulff, Stefan Schmitz. 715-718 [doi]
- Predicting distribution of a new forest disease using one-class SVMsQinghua Guo, Maggi Kelly, Catherine Graham. 719-722 [doi]
- Understanding Helicoverpa armigera Pest Population Dynamics related to Chickpea Crop Using Neural NetworksRajat Gupta, B. V. L. Narayana, P. Krishna Reddy, G. V. Ranga Rao, C. L. L. Gowda, Y. V. R. Reddy, Garimella Rama Murthy. 723-726 [doi]
- Text Mining for a Clear Picture of Defect Reports: A Praxis ReportJutta Kreyß, Steve Selvaggio, Michael White, Zach Zakharian. 727-730 [doi]
- Mining Production Data with Neural Network & CARTMingkun Li, Shuo Feng, Ishwar K. Sethi, Jason Luciow, Keith Wagner. 731-734 [doi]
- Inference of Protein-Protein Interactions by Unlikely Profile PairByung-Hoon Park, George Ostrouchov, Gong-Xin Yu, Al Geist, Andrey Gorin, Nagiza F. Samatova. 735-738 [doi]
- Regulatory Element Discovery Using Tree-structured ModelsTu Minh Phuong, Doheon Lee, Kwang Hyung Lee. 739-742 [doi]
- Applying Noise Handling Techniques to Genomic Data: A Case StudyChoh-Man Teng. 743-746 [doi]
- Detecting Patterns of Change Using Enhanced Parallel Coordinates VisualizationKaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Schaller. 747 [doi]