Data Mining and Knowledge Discovery Handbook

1. Introduction to Knowledge Discovery and Data Mining
Oded Maimon, Lior Rokach

2. Data Cleansing: A Prelude to Knowledge Discovery
Jonathan I. Maletic, Andrian Marcus

3. Handling Missing Attribute Values
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse

4. Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour
Christopher J.C. Burges

5. Dimension Reduction and Feature Selection
Barak Chizi, Oded Maimon

6. Discretization Methods
Ying Yang, Geoffrey I. Webb, Xindong Wu

7. Outlier Detection
Irad Ben-Gal

8. Supervised Learning
Lior Rokach, Oded Maimon

9. Classification Trees
Lior Rokach, Oded Maimon

10. Bayesian Networks
Paola Sebastiani, Maria M. Abad, Marco F. Ramoni

11. Data Mining within a Regression Framework
Richard A. Berk

12. Support Vector Machines
Armin Shmilovici

13. Rule Induction
Jerzy W. Grzymala-Busse

14. A survey of Clustering Algorithms
Lior Rokach

15. Association Rules
Frank Höppner

16. Frequent Set Mining
Bart Goethals

17. Constraint-based Data Mining
Jean-Francois Boulicaut, Baptiste Jeudy

18. Link Analysis
Steve Donoho

19. A Review of Evolutionary Algorithms for Data Mining
Alex A. Freitas

20. A Review of Reinforcement Learning Methods
Oded Maimon, Shahar Cohen

21. Neural Networks For Data Mining
G. Peter Zhang

22. Granular Computing and Rough Sets - An Incremental Development
Tsau Young (’T. Y.’) Lin, Churn-Jung Liau

23. Pattern Clustering Using a Swarm Intelligence Approach
Swagatam Das, Ajith Abraham

24. Using Fuzzy Logic in Data Mining
Lior Rokach

25. Statistical Methods for Data Mining
Yoav Benjamini, Moshe Leshno

26. Logics for Data Mining
Petr Hájek

27. Wavelet Methods in Data Mining
Tao Li, Sheng Ma, Mitsunori Ogihara

28. Fractal Mining - Self Similarity-based Clustering and its Applications
Daniel Barbara, Ping Chen

29. Visual Analysis of Sequences Using Fractal Geometry
Noa Ruschin Rimini, Oded Maimon

30. Interestingness Measures - On Determining What Is Interesting
Sigal Sahar

31. Quality Assessment Approaches in Data Mining
Maria Halkidi, Michalis Vazirgiannis

32. Data Mining Model Comparison
Paolo Giudici

33. Data Mining Query Languages
Jean-Francois Boulicaut, Cyrille Masson

34. Mining Multi-label Data
Grigorios Tsoumakas, Ioannis Katakis, Ioannis Vlahavas

35. Privacy in Data Mining
Vicenç Torra

36. Meta-Learning - Concepts and Techniques
Ricardo Vilalta, Christophe Giraud-Carrier, Pavel Brazdil

37. Bias vs Variance Decomposition for Regression and Classification
Pierre Geurts

38. Mining with Rare Cases
Gary M. Weiss

39. Data Stream Mining
Mohamed Medhat Gaber, Arkady Zaslavsky, Shonali Krishnaswamy

40. Mining Concept-Drifting Data Streams
Haixun Wang, Philip S. Yu, Jiawei Han

41. Mining High-Dimensional Data
Wei Wang, Jiong Yang

42. Text Mining and Information Extraction
Moty Ben-Dov, Ronen Feldman

43. Spatial Data Mining
Shashi Shekhar, Pusheng Zhang, Yan Huang

44. Spatio-temporal clustering
Slava Kisilevich, Florian Mansmann, Mirco Nanni, Salvatore Rinzivillo

45. Data Mining for Imbalanced Datasets: An Overview
Nitesh V. Chawla

46. Relational Data Mining
Sašo Džeroski

47. Web Mining
Johannes Fürnkranz

48. A Review of Web Document Clustering Approaches
Nora Oikonomakou, Michalis Vazirgiannis

49. Causal Discovery
Hong Yao, Cory J. Butz, Howard J. Hamilton

50. Ensemble Methods in Supervised Learning
Lior Rokach

51. Data Mining using Decomposition Methods
Lior Rokach, Oded Maimon

52. Information Fusion - Methods and Aggregation Operators
Vicenç Torra

53. Parallel and Grid-Based Data Mining – Algorithms, Models and Systems for High-Performance KDD
Antonio Congiusta, Domenico Talia, Paolo Trunfio

54. Collaborative Data Mining
Steve Moyle

55. Organizational Data Mining
Hamid R. Nemati, Christopher D. Barko

56. Mining Time Series Data
Chotirat Ann Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn Keogh, Michail Vlachos, Gautam Das

57. Multimedia Data Mining
Zhongfei (Mark) Zhang, Ruofei Zhang

58. Data Mining in Medicine
Nada Lavrač, Blaž Zupan

59. Learning Information Patterns in Biological Databases - Stochastic Data Mining
Gautam B. Singh

60. Data Mining for Financial Applications
Boris Kovalerchuk, Evgenii Vityaev

61. Data Mining for Intrusion Detection
Anoop Singhal, Sushil Jajodia

62. Data Mining for CRM
Kurt Thearling

63. Data Mining for Target Marketing
Nissan Levin, Jacob Zahavi

64. NHECD - Nano Health and Environmental Commented Database
Oded Maimon, Abel Browarnik

65. Commercial Data Mining Software
Qingyu Zhang, Richard S. Segall

66. Weka-A Machine Learning Workbench for Data Mining
Eibe Frank, Mark Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer, Ian H. Witten, Len Trigg

Nyckelord: Computer Science, Database Management, Information Storage and Retrieval, Artificial Intelligence (incl. Robotics), Information Systems Applications (incl.Internet), Information Systems and Communication Service