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...
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| 企业作者: | |
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| 其他作者: | , |
| 格式: | 电子 电子书 |
| 语言: | English |
| 出版: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| 版: | 1st ed. 2014. |
| 主题: | |
| 在线阅读: | https://doi.org/10.1007/978-3-319-07821-2 |
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书本目录:
- 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.