Abstract is missing.
- Visualizing Clustering ResultsIan Davidson. 3-18 [doi]
- VizCluster: An Interactive Visualization Approach to Cluster Analysis and Its Application on Microarray DataLi Zhang, Chun Tang, Yong Shi, YuQing Song, Aidong Zhang, Murali Ramanathan. 19-40 [doi]
- Ensemble-based Adaptive Intrusion DetectionWei Fan, Salvatore J. Stolfo. 41-58 [doi]
- Instance Selection Techniques for Memory-based Collaborative FilteringKai Yu, Xiaowei Xu, Jianjua Tao, Martin Ester, Hans-Peter Kriegel. 59-74 [doi]
- Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and PerformanceRuoming Jin, Gagan Agrawal. 77-94 [doi]
- A Data Parallel Approach for Large-Scale Gaussian Process ModelingArindam Choudhury, Prasanth B. Nair, Andy J. Keane. 95-111 [doi]
- Efficient Filtering of Large DatasetA User-Centric ParadigmYi Xia, Wei Wang 0010, Jiong Yang, Philip S. Yu, Richard R. Muntz. 112-127 [doi]
- Why the Information Explosion Can Be Bad for Data Mining, and How Data Fusion Provides a Way OutPeter van der Putten, Joost N. Kok, Amar Gupta. 128-138 [doi]
- On the Optimal Clustering of Sequential DataCheng-Ru Lin, Ming-Syan Chen. 141-157 [doi]
- Efficient Substructure Discovery from Large Semi-structured DataTatsuya Asai, Kenji Abe, Shinji Kawasoe, Hiroki Arimura, Hiroshi Sakamoto, Setsuo Arikawa. 158-174 [doi]
- Discovering Frequent Substructures from Hierarchical Semi-structured DataGao Cong, Lan Yi, Bing Liu, Ke Wang. 175-192 [doi]
- Iterative Deepening Dynamic Time Warping for Time SeriesSelina Chu, Eamonn J. Keogh, David Hart, Michael J. Pazzani. 195-212 [doi]
- Extracting Precursor Rules from Time SeriesA Classical Statistical ViewpointJoão B. D. Cabrera, Raman K. Mehra. 213-228 [doi]
- Autoregressive Tree Models for Time-Series AnalysisChristopher Meek, David Maxwell Chickering, David Heckerman. 229-244 [doi]
- Incremental Support Vector Machine ClassificationGlenn Fung, Olvi L. Mangasarian. 247-260 [doi]
- A Pattern Search Method for Model Selection of Support Vector RegressionMichinari Momma, Kristin P. Bennett. 261-274 [doi]
- Explicit Thermodynamic Properties using Radial Basis Functions Neural NetworksOlivier Adam, Olivier Léonard. 275-296 [doi]
- Cluster Selection in Divisive Clustering AlgorithmsSergio M. Savaresi, Daniel Boley, Sergio Bittanti, Giovanna Gazzaniga. 299-314 [doi]
- A Clustering Technique for Mining Data from Text TablesHasan Davulcu, Saikat Mukherjee, I. V. Ramakrishnan. 315-332 [doi]
- On Scaling Up Balanced Clustering AlgorithmsArindam Banerjee, Joydeep Ghosh. 333-349 [doi]
- Efficient Local Flexible Nearest Neighbor ClassificationCarlotta Domeniconi, Dimitrios Gunopulos. 353-369 [doi]
- Approximate Splitting for Ensembles of Trees using HistogramsChandrika Kamath, Erick Cantú-Paz, David Littau. 370-383 [doi]
- The Power of Second-Order Decision TablesRattikorn Hewett, John H. Leuchner. 384-399 [doi]
- Mining Relationship between Triggering and Consequential Events in a Short Transaction DatabaseChang-Hung Lee, Philip S. Yu, Ming-Syan Chen. 403-419 [doi]
- Learning Simple Relations: Theory and ApplicationsPavel Berkhin, Jonathan D. Becher. 420-436 [doi]
- A Framework for Scalable Cost-sensitive Learning Based on Combing Probabilities and BenefitsWei Fan, Haixun Wang, Philip S. Yu, Salvatore J. Stolfo. 437-453 [doi]
- CHARM: An Efficient Algorithm for Closed Itemset MiningMohammed Javeed Zaki, Ching-Jiu Hsiao. 457-473 [doi]
- Evaluating the Performance of Association Mining Methods in 3-D Medical Image DatabasesVasileios Megalooikonomou. 474-493 [doi]
- Mining Frequent Itemsets in Evolving DatabasesAdriano Veloso, Wagner Meira Jr., Márcio de Carvalho, Bruno Pôssas, Srinivasan Parthasarathy, Mohammed Javeed Zaki. 494-510 [doi]
- Discovering Fully Dependent PatternsFeng Liang, Sheng Ma, Joseph L. Hellerstein. 511-527 [doi]
- One Step Evolutionary Mining of Context Sensitive Associations and Web Navigation PatternsOlfa Nasraoui, Raghu Krishnapuram. 531-547 [doi]
- MedMeSH Summarizer: Text Mining for Gene ClustersPankaj Kankar, Sudeshna Adak, A. Sarkar, K. Murali, Gaurav Sharma 0002. 548-565 [doi]
- Segmented Regression Estimators for Massive Data SetsRamesh Natarajan, Edwin P. D. Pednault. 566-582 [doi]
- Collusion in the U. S. Crop Insurance Program: Applied Data MiningBertis B. Little, Walter L. Johnston, Ashley C. Lovell, Roderick M. Rejesus, Steve A. Steed. 583-597 [doi]