Abstract is missing.
- Introduction to Knowledge Discovery in DatabasesOded Maimon, Lior Rokach. 1-17
- Data Cleansing - A Prelude to Knowledge DiscoveryJonathan I. Maletic, Andrian Marcus. 21-36
- Handling Missing Attribute ValuesJerzy W. Grzymala-Busse, Witold J. Grzymala-Busse. 37-57
- Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided TourChristopher J. C. Burges. 59-92
- Dimension Reduction and Feature SelectionBarak Chizi, Oded Maimon. 93-111
- Discretization MethodsYing Yang, Geoffrey I. Webb, Xindong Wu. 113-130
- Outlier DetectionIrad E. Ben-Gal. 131-146
- Introduction to Supervised MethodsOded Maimon, Lior Rokach. 149-164
- Decision TreesLior Rokach, Oded Maimon. 165-192
- Bayesian NetworksPaola Sebastiani, María M. Abad-Grau, Marco Ramoni. 193-230
- Data Mining within a Regression FrameworkRichard A. Berk. 231-255
- Support Vector MachinesArmin Shmilovici. 257-276
- Rule InductionJerzy W. Grzymala-Busse. 277-294
- Visualization and Data Mining for High Dimensional DatasetsAlfred Inselberg. 297-319
- Clustering MethodsLior Rokach, Oded Maimon. 321-352
- Association RulesFrank Höppner. 353-376
- Frequent Set MiningBart Goethals. 377-397
- Constraint-Based Data MiningJean-François Boulicaut, Baptiste Jeudy. 399-416
- Link AnalysisSteve Donoho. 417-432
- Evolutionary Algorithms for Data MiningAlex Alves Freitas. 435-467
- Reinforcement-Learning: An Overview from a Data Mining PerspectiveShahar Cohen, Oded Maimon. 469-486
- Neural NetworksPeter G. Zhang. 487-516
- On the Use of Fuzzy Logic in Data MiningJoseph Komem, Moti Schneider. 517-533
- Granular Computing and Rough SetsTsau Young Lin, Churn-Jung Liau. 535-561
- Statistical Methods for Data MiningYoav Benjamini, Moshe Leshno. 565-587
- Logics for Data MiningPetr Hájek. 589-602
- Wavelet Methods in Data MiningTao Li, Sheng Ma, Mitsunori Ogihara. 603-626
- Fractal Mining - Self Similarity-based Clustering and its ApplicationsDaniel Barbará, Ping Chen. 627-647
- Interestingness Measures - On Determining What Is InterestingSigal Sahar. 649-660
- Quality Assessment Approaches in Data MiningMaria Halkidi, Michalis Vazirgiannis. 661-696
- Data Mining Model ComparisonPaolo Giudici. 697-714
- Data Mining Query LanguagesJean-François Boulicaut, Cyrille Masson. 715-727
- Meta-LearningRicardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil. 731-748
- Bias vs. Variance Decomposition for Regression and ClassificationPierre Geurts. 749-763
- Mining with Rare CasesGary M. Weiss. 765-776
- Mining Data StreamsHaixun Wang, Philip S. Yu, Jiawei Han. 777-792
- Mining High-Dimensional DataWei Wang 0010, Jiong Yang. 793-799
- Text Mining and Information ExtractionMoty Ben-Dov, Ronen Feldman. 801-831
- Spatial Data MiningShashi Shekhar, Pusheng Zhang, Yan Huang. 833-851
- Data Mining for Imbalanced Datasets: An OverviewNitesh V. Chawla. 853-867
- Relational Data MiningSaso Dzeroski. 869-898
- Web MiningJohannes Fürnkranz. 899-920
- A Review of Web Document Clustering ApproachesNora Oikonomakou, Michalis Vazirgiannis. 921-943
- Causal DiscoveryHong Yao, Cory J. Butz, Howard J. Hamilton. 945-955
- Ensemble Methods for ClassifiersLior Rokach. 957-980
- Decomposition Methodology for Knowledge Discovery and Data MiningOded Maimon, Lior Rokach. 981-1003
- Information Fusion - Methods and Aggregation OperatorsVicenç Torra. 1005-1016
- Parallel and Grid-Based Data Mining - Algorithms, Models and Systems for High-Performance KDDAntonio Congiusta, Domenico Talia, Paolo Trunfio. 1017-1041
- Collaborative Data MiningSteve Moyle. 1043-1056
- Organizational Data MiningHamid R. Nemati, Christopher D. Barko. 1057-1067
- Mining Time Series DataChotirat (Ann) Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das. 1069-1103
- Data Mining in MedicineNada Lavrac, Blaz Zupan. 1107-1138
- Learning Information Patterns in Biological DatabasesGautam B. Singh. 1139-1158
- Data Mining for Selection of Manufacturing ProcessesBruno Agard, Andrew Kusiak. 1159-1166
- Data Mining of Design Products and ProcessesYoram Reich. 1167-1187
- Data Mining in TelecommunicationsGary M. Weiss. 1189-1201
- Data Mining for Financial ApplicationsBoris Kovalerchuk, Evgenii Vityaev. 1203-1224
- Data Mining for Intrusion DetectionAnoop Singhal, Sushil Jajodia. 1225-1237
- Data Mining for Software TestingMark Last. 1239-1248
- Data Mining for CRMKurt H. Thearling. 1249-1259
- Data Mining for Target MarketingNissan Levin, Jacob Zahavi. 1261-1301
- WEKA - A Machine Learning Workbench for Data MiningEibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer. 1305-1314
- Oracle Data Mining - Data Mining in the Database EnvironmentPablo Tamayo, Charles Berger, Marcos M. Campos, Joseph Yarmus, Boriana L. Milenova, Ari Mozes, Margaret Taft, Mark F. Hornick, Ramkumar Krishnan, Shiby Thomas, Mark Kelly, Denis Mukhin, Robert Haberstroh, Susie Stephens, Jacek Myczkowsji. 1315-1329
- Building Data Mining Solutions with OLE DB for DM and XML for AnalysisZhaoHui Tang, Jamie Maclennan, Pyungchul (Peter) Kim. 1331-1345
- LERS - A Data Mining SystemJerzy W. Grzymala-Busse. 1347-1351
- GainSmarts Data Mining System for MarketingNissan Levin, Jacob Zahavi. 1353-1364
- Wizsoft s WizWhyAbraham Meidan. 1365-1369
- DataEngine - Tools for Intelligent Data Analysis and ControlJoseph Komem, Moti Schneider. 1371-1377