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Data Mining and Knowledge Discovery Handbook
other
Editor(s):
Oded Maimon
,
Lior Rokach
Publication date
(Print):
2005
Publisher:
Springer-Verlag
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Future Drug Discovery
Author and book information
Book
ISBN (Print):
0-387-24435-2
Publication date (Print):
2005
DOI:
10.1007/b107408
SO-VID:
f821025e-138f-456b-810e-999798b3cb0b
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Book chapters
pp. 1
Introduction to Knowledge Discovery in Databases
pp. 21
Data Cleansing
pp. 37
Handling Missing Attribute Values
pp. 59
Geometric Methods for Feature Extraction and Dimensional Reduction
pp. 93
Dimension Reduction and Feature Selection
pp. 113
Discretization Methods
pp. 131
Outlier Detection
pp. 149
Introduction to Supervised Methods
pp. 165
Decision Trees
pp. 193
Bayesian Networks
pp. 231
Data Mining within a Regression Framework
pp. 257
Support Vector Machines
pp. 277
Rule Induction
pp. 297
Visualization and Data Mining for High Dimensional Datasets
pp. 321
Clustering Methods
pp. 353
Association Rules
pp. 377
Frequent Set Mining
pp. 399
Constraint-Based Data Mining
pp. 417
Link Analysis
pp. 435
Evolutionary Algorithms for Data Mining
pp. 469
Reinforcement-Learning: An Overview from a Data Mining Perspective
pp. 487
Neural Networks
pp. 517
On the Use of Fuzzy Logic in Data Mining
pp. 535
Granular Computing and Rough Sets
pp. 565
Statistical Methods for Data Mining
pp. 589
Logics for Data Mining
pp. 603
Wavelet Methods in Data Mining
pp. 627
Fractal Mining
pp. 649
Interesting Measures
pp. 661
Quality Assessment Approaches in Data Mining
pp. 697
Data Mining Model Comparison
pp. 715
Data Mining Query Languages
pp. 731
Meta-Learning
pp. 749
Bias vs Variance Decomposition for Regression and Classification
pp. 765
Mining with Rare Cases
pp. 777
Mining Data Streams
pp. 793
Mining High-Dimensional Data
pp. 801
Text Mining and Information Extraction
pp. 833
Spatial Data Mining
pp. 853
Data Mining for Imbalanced Datasets: An Overview
pp. 869
Relational Data Mining
pp. 899
Web Mining
pp. 921
A Review of Web Document Clustering Approaches
pp. 945
Causal Discovery
pp. 957
Ensemble Methods for Classifiers
pp. 981
Decomposition Methodology for Knowledge Discovery and Data Mining
pp. 1005
Information Fusion
pp. 1017
Parallel and Grid-Based Data Mining
pp. 1043
Collaborative Data Mining
pp. 1057
Organizational Data Mining
pp. 1069
Mining Time Series Data
pp. 1107
Data Mining in Medicine
pp. 1139
Learning Information Patterns in Biological Databases
pp. 1159
Data Mining for Selection of Manufacturing Processes
pp. 1167
Data Mining of Design Products and Processes
pp. 1189
Data Mining in Telecommunications
pp. 1203
Data Mining for Financial Applications
pp. 1225
Data Mining for Intrusion Detection
pp. 1239
Data Mining for Software Testing
pp. 1249
Data Mining for CRM
pp. 1261
Data Mining for Target Marketing
pp. 1305
Weka
pp. 1315
Oracle Data Mining
pp. 1331
Building Data Mining Solutions With OLE DB for DM and XML for Analysis
pp. 1347
LERS—A Data Mining System
pp. 1353
GainSmarts Data Mining System for Marketing
pp. 1365
Wizsoft’s Wizwhy
pp. 1371
DataEngine
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