Maimon, Oded
Data Mining and Knowledge Discovery Handbook
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
Nyckelord: Computer Science, Data Mining and Knowledge Discovery, Database Management, Information Storage and Retrieval, Computer Communication Networks, Multimedia Information Systems, Data Storage Representation
- Författare
- Maimon, Oded
- Rokach, Lior
- Utgivare
- Springer
- Utgivningsår
- 2005
- Språk
- en
- Utgåva
- 1
- Sidantal
- 1418 sidor
- Kategori
- Datateknik, Datakommunikation
- Format
- E-bok
- eISBN (PDF)
- 9780387254654