Supervised Descriptive Pattern Mining

• Main Authors: Ventura, Sebastián (Author, http://id.loc.gov/vocabulary/relators/aut), Luna, José María (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Subjects: Data mining.; Artificial intelligence.; Pattern recognition.; Data Mining and Knowledge Discovery.; Artificial Intelligence.; Pattern Recognition.

This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics. It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns in the knowledge discover...

Table of Contents:

• 1 Introduction to Supervised Descriptive Pattern Mining
• 2 Contrast Sets
• 3 Emerging Patterns
• 4 Subgroup Discovery
• 5 Class Association Rules
• 6 Exceptional Models
• 7 Other Forms of Supervised Descriptive Pattern Mining
• 8 Successful Applications.