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 1|36 pages

An Introduction to Data Classification

ByCharu C. Aggarwal

chapter 2|28 pages

Feature Selection for Classification: A Review

ByJiliang Tang, Salem Alelyani, Huan Liu

chapter 3|22 pages

Probabilistic Models for Classification

ByHongbo Deng, Yizhou Sun, Yi Chang, Jiawei Han

chapter 4|34 pages

Decision Trees: Theory and Algorithms

ByVictor E. Lee, Lin Liu, Ruoming Jin

chapter 5|36 pages

Rule-Based Classification

ByXiao-Li Li, Bing Liu

chapter 6|30 pages

Instance-Based Learning: A Survey

ByCharu C. Aggarwal

chapter 7|18 pages

Support Vector Machines

ByPo-Wei Wang, Chih-Jen Lin

chapter 8|40 pages

Neural Networks: A Review

ByAlain Biem

chapter 9|30 pages

A Survey of Stream Classification Algorithms

ByCharu C. Aggarwal

chapter 10|12 pages

Big Data Classification Hanghang Tong

chapter 11|50 pages

Text Classification

ByCharu C. Aggarwal and ChengXiang Zhai

chapter 12|28 pages

Multimedia Classification

ByShiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang

chapter 13|14 pages

Time Series Data Classification

ByDimitrios Kotsakos, Dimitrios Gunopulos

chapter 14|20 pages

Discrete Sequence Classification

ByMohammad Al Hasan

chapter 15|18 pages

Collective Classification of Network Data

ByBen London, Lise Getoor

chapter 16|28 pages

Uncertain Data Classification

ByReynold Cheng, Yixiang Fang, Matthias Renz

chapter 17|24 pages

Rare Class Learning

ByCharu C. Aggarwal

chapter 18|14 pages

Distance Metric Learning for Data Classification

ByFei Wang

chapter 19|28 pages

Ensemble Learning

ByYaliang Li, Jing Gao, Qi Li, Wei Fan

chapter 20|26 pages

Semi-Supervised Learning

ByKaushik Sinha

chapter 21|34 pages

Transfer Learning

BySinno Jialin Pan

chapter 22|36 pages

Active Learning: A Survey

ByCharu C. Aggarwal, Xiangnan Kong, Quanquan Gu, Jiawei Han, Philip S. Yu

chapter 23|26 pages

Visual Classification

ByGiorgio Maria Di Nunzio

chapter 24|24 pages

Evaluation of Classification Methods

ByNele Verbiest, Karel Vermeulen, Ankur Teredesai

chapter 25|10 pages

Educational and Software Resources for Data Classification

ByCharu C. Aggarwal