Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlyi

chapter 5|36 pages

Rule-Based Classification

chapter 7|18 pages

Support Vector Machines

chapter 8|40 pages

Neural Networks: A Review

chapter 10|12 pages

Big Data Classification Hanghang Tong

chapter 17|24 pages

Rare Class Learning

chapter 19|28 pages

Ensemble Learning

chapter 20|26 pages

Semi-Supervised Learning

chapter 21|34 pages

Transfer Learning

chapter 23|26 pages

Visual Classification