The Data Mining and Knowledge Discovery Handbook 2005

Oded Maimon, Lior Rokach (Eds.): The Data Mining and Knowledge Discovery Handbook. Springer 2005, ISBN 0-387-24435-2

Oded Maimon, Lior Rokach: Introduction to Knowledge Discovery in Databases. 1-17

Part I: Preprocessing Methods

Jonathan I. Maletic, Andrian Marcus: Data Cleansing - A Prelude to Knowledge Discovery. 21-36
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse: Handling Missing Attribute Values. 37-57
Christopher J. C. Burges: Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour. 59-92
Barak Chizi, Oded Maimon: Dimension Reduction and Feature Selection. 93-111
Ying Yang, Geoffrey I. Webb, Xindong Wu: Discretization Methods. 113-130
Irad E. Ben-Gal: Outlier Detection. 131-146

Alfred Inselberg: Visualization and Data Mining for High Dimensional Datasets. 297-319
Lior Rokach, Oded Maimon: Clustering Methods. 321-352
Frank Höppner: Association Rules. 353-376
Bart Goethals: Frequent Set Mining. 377-397
Jean-François Boulicaut, Baptiste Jeudy: Constraint-Based Data Mining. 399-416
Steve Donoho: Link Analysis. 417-432

Alex Alves Freitas: Evolutionary Algorithms for Data Mining. 435-467
Shahar Cohen, Oded Maimon: Reinforcement-Learning: An Overview from a Data Mining Perspective. 469-486
G. Peter Zhang: Neural Networks. 487-516
Joseph Komem, Moti Schneider: On the Use of Fuzzy Logic in Data Mining. 517-533
Tsau Young Lin, Churn-Jung Liau: Granular Computing and Rough Sets. 535-561

Yoav Benjamini, Moshe Leshno: Statistical Methods for Data Mining. 565-587
Petr Hájek: Logics for Data Mining. 589-602
Tao Li, Sheng Ma, Mitsunori Ogihara: Wavelet Methods in Data Mining. 603-626
Daniel Barbará, Ping Chen: Fractal Mining - Self Similarity-based Clustering and its Applications. 627-647
Sigal Sahar: Interestingness Measures - On Determining What Is Interesting. 649-660
Maria Halkidi, Michalis Vazirgiannis: Quality Assessment Approaches in Data Mining. 661-696
Paolo Giudici: Data Mining Model Comparison. 697-714
Jean-François Boulicaut, Cyrille Masson: Data Mining Query Languages. 715-727

Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil: Meta-Learning. 731-748
Pierre Geurts: Bias vs. Variance Decomposition for Regression and Classification. 749-763
Gary M. Weiss: Mining with Rare Cases. 765-776
Haixun Wang, Philip S. Yu, Jiawei Han: Mining Data Streams. 777-792
Wei Wang, Jiong Yang: Mining High-Dimensional Data. 793-799
Moty Ben-Dov, Ronen Feldman: Text Mining and Information Extraction. 801-831
Shashi Shekhar, Pusheng Zhang, Yan Huang: Spatial Data Mining. 833-851
Nitesh V. Chawla: Data Mining for Imbalanced Datasets: An Overview. 853-867
Saso Dzeroski: Relational Data Mining. 869-898
Johannes Fürnkranz: Web Mining. 899-920
Nora Oikonomakou, Michalis Vazirgiannis: A Review of Web Document Clustering Approaches. 921-943
Hong Yao, Cory J. Butz, Howard J. Hamilton: Causal Discovery. 945-955
Lior Rokach: Ensemble Methods for Classifiers. 957-980
Oded Maimon, Lior Rokach: Decomposition Methodology for Knowledge Discovery and Data Mining. 981-1003
Vicenç Torra: Information Fusion - Methods and Aggregation Operators. 1005-1016
Antonio Congiusta, Domenico Talia, Paolo Trunfio: Parallel and Grid-Based Data Mining - Algorithms, Models and Systems for High-Performance KDD. 1017-1041
Steve Moyle: Collaborative Data Mining. 1043-1056
Hamid R. Nemati, Christopher D. Barko: Organizational Data Mining. 1057-1067
Chotirat (Ann) Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das: Mining Time Series Data. 1069-1103

Nada Lavrac, Blaz Zupan: Data Mining in Medicine. 1107-1138
Gautam B. Singh: Learning Information Patterns in Biological Databases. 1139-1158
Bruno Agard, Andrew Kusiak: Data Mining for Selection of Manufacturing Processes. 1159-1166
Yoram Reich: Data Mining of Design Products and Processes. 1167-1187
Gary M. Weiss: Data Mining in Telecommunications. 1189-1201
Boris Kovalerchuk, Evgenii Vityaev: Data Mining for Financial Applications. 1203-1224
Anoop Singhal, Sushil Jajodia: Data Mining for Intrusion Detection. 1225-1237
Mark Last: Data Mining for Software Testing. 1239-1248
Kurt H. Thearling: Data Mining for CRM. 1249-1259
Nissan Levin, Jacob Zahavi: Data Mining for Target Marketing. 1261-1301

Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer: WEKA - A Machine Learning Workbench for Data Mining. 1305-1314
Pablo 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: Oracle Data Mining - Data Mining in the Database Environment. 1315-1329
ZhaoHui Tang, Jamie Maclennan, Pyungchul (Peter) Kim: Building Data Mining Solutions with OLE DB for DM and XML for Analysis. 1331-1345
Jerzy W. Grzymala-Busse: LERS - A Data Mining System. 1347-1351
Nissan Levin, Jacob Zahavi: GainSmarts Data Mining System for Marketing. 1353-1364
Abraham Meidan: Wizsoft's WizWhy. 1365-1369
Joseph Komem, Moti Schneider: DataEngine - Tools for Intelligent Data Analysis and Control. 1371-1377

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