Login

Maimon, Oded

Data Mining and Knowledge Discovery Handbook

Maimon, Oded - Data Mining and Knowledge Discovery Handbook, ebook

271,60€

Ebook, PDF with Adobe DRM
ISBN: 9780387254654
DRM Restrictions

PrintingNot allowed
Copy to clipboardNot allowed

Table of contents

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

I. Preprocessing Methods

2. Data Cleansing
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
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

II. Supervised Methods

8. Introduction to Supervised Methods
Oded Maimon, Lior Rokach

9. Decision 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

III. Unsupervised Methods

14. Visualization and Data Mining for High Dimensional Datasets
Alfred Inselberg

15. Clustering Methods
Lior Rokach, Oded Maimon

16. Association Rules
Frank Höppner

17. Frequent Set Mining
Bart Goethals

18. Constraint-Based Data Mining
Jean-Francois Boulicaut, Baptiste Jeudy

19. Link Analysis
Steve Donoho

IV. Soft Computing Methods

20. Evolutionary Algorithms for Data Mining
Alex A. Freitas

21. Reinforcement-Learning: An Overview from a Data Mining Perspective
Shahar Cohen, Oded Maimon

22. Neural Networks
Peter G. Zhang

23. On the Use of Fuzzy Logic in Data Mining
Joseph Komem, Moti Schneider

24. Granular Computing and Rough Sets
Tsau Young (’T. Y.’) Lin, Churn-Jung Liau

V. Supporting Methods

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
Daniel Barbara, Ping Chen

29. Interesting Measures
Sigal Sahar

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

31. Data Mining Model Comparison
Paolo Giudici

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

VI. Advanced Methods

33. Meta-Learning
Ricardo Vilalta, Christophe Giraud-Carrier, Pavel Brazdil

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

35. Mining with Rare Cases
Gary M. Weiss

36. Mining Data Streams
Haixun Wang, Philip S. Yu, Jiawei Han

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

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

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

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

41. Relational Data Mining
Sašo Džeroski

42. Web Mining
Johannes Fürnkranz

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

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

45. Ensemble Methods for Classifiers
Lior Rokach

46. Decomposition Methodology for Knowledge Discovery and Data Mining
Oded Maimon, Lior Rokach

47. Information Fusion
Vicenç Torra

48. Parallel and Grid-Based Data Mining
Antonio Congiusta, Domenico Talia, Paolo Trunfio

49. Collaborative Data Mining
Steve Moyle

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

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

52. Data Mining in Medicine
Nada Lavrač, Blaž Zupan

53. Learning Information Patterns in Biological Databases
Gautam B. Singh

54. Data Mining for Selection of Manufacturing Processes
Bruno Agard, Andrew Kusiak

55. Data Mining of Design Products and Processes
Yoram Reich

56. Data Mining in Telecommunications
Gary M. Weiss

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

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

59. Data Mining for Software Testing
Mark Last

60. Data Mining for CRM
Kurt Thearling

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

VIII. Software

62. Weka
Eibe Frank, Mark Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer, Ian H. Witten, Len Trigg

63. Oracle Data Mining
P. Tamayo, C. Berger, M. Campos, J. Yarmus, B. Milenova, A. Mozes, M. Taft, M. Hornick, R. Krishnan, S. Thomas, M. Kelly, D. Mukhin, B. Haberstroh, S. Stephens, J. Myczkowski

64. Building Data Mining Solutions With OLE DB for DM and XML for Analysis
Zhaohui Tang, Jamie Maclennan, Pyungchul (Peter) Kim

65. LERS—A Data Mining System
Jerzy W. Grzymala-Busse

66. GainSmarts Data Mining System for Marketing
Nissan Levin, Jacob Zahavi

67. Wizsoft’s Wizwhy
Abraham Meidan

68. DataEngine
Joseph Komem, Moli Schneider

Keywords: Computer Science, Data Mining and Knowledge Discovery, Database Management, Information Storage and Retrieval, Computer Communication Networks, Multimedia Information Systems, Data Storage Representation

Author(s)
 
Publisher
Springer
Publication year
2005
Language
en
Edition
1
Page amount
1418 pages
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (PDF)
9780387254654

Similar titles