Frequent Pattern Mining
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...
Other Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer International Publishing
2014, 2014
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Edition: | 1st ed. 2014 |
Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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