Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition

✍ Scribed by Mehmed Kantardzic(auth.)

Tongue: English
Leaves: 550
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Content:
Chapter 1 Data?Mining Concepts (pages 1–25):
Chapter 2 Preparing the Data (pages 26–52):
Chapter 3 Data Reduction (pages 53–86):
Chapter 4 Learning from Data (pages 87–139):
Chapter 5 Statistical Methods (pages 140–168):
Chapter 6 Decision Trees and Decision Rules (pages 169–198):
Chapter 7 Artificial Neural Networks (pages 199–234):
Chapter 8 Ensemble Learning (pages 235–248):
Chapter 9 Cluster Analysis (pages 249–279):
Chapter 10 Association Rules (pages 280–299):
Chapter 11 Web Mining and Text Mining (pages 300–327):
Chapter 12 Advances in Data Mining (pages 328–384):
Chapter 13 Genetic Algorithms (pages 385–413):
Chapter 14 Fuzzy sets and Fuzzy Logic (pages 414–446):
Chapter 15 Visualization Methods (pages 447–469):

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