High-Utility Pattern Mining: Theory, Algorithms and Applications (1st ed. 2019) (Studies in Big Data #51)
By: and and and and
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- Synopsis
- This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data.The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns.
- Copyright:
- 2019
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 230 Pages
- ISBN-13:
- 9783030049218
- Related ISBNs:
- 9783030049201
- Publisher:
- Springer International Publishing
- Date of Addition:
- 01/20/19
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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