Frequent Pattern Mining

• Corporate Author: SpringerLink (Online service)
• Other Authors: Aggarwal, Charu C. (Editor), Han, Jiawei (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Subjects: Computer science.; Database management.; Data mining.; Artificial intelligence.; Pattern recognition.; Biometrics (Biology).; Computer Science.; Data Mining and Knowledge Discovery.; Database Management.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.; Biometrics.

This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each ch...

Table of Contents:

• An Introduction to Frequent Pattern Mining
• Frequent Pattern Mining Algorithms: A Survey
• Pattern-growth Methods
• Mining Long Patterns
• Interesting Patterns
• Negative Association Rules
• Constraint-based Pattern Mining
• Mining and Using Sets of Patterns through Compression
• Frequent Pattern Mining in Data Streams
• Big Data Frequent Pattern Mining
• Sequential Pattern Mining
• Spatiotemporal Pattern Mining: Algorithms and Applications
• Mining Graph Patterns
• Uncertain Frequent Pattern Mining
• Privacy in Association Rule Mining
• Frequent Pattern Mining Algorithms for Data Clustering
• Supervised Pattern Mining and Applications to Classification
• Applications of Frequent Pattern Mining.