The first chapter is an introduction to pattern mining and periodic pattern mining. The concepts of periodicity, periodic support, search space exploration techniques, and pruning strategies are discussed. The main types of algorithms are also presented such as periodic-frequent pattern growth, partial periodic pattern-growth, and periodic high-utility itemset mining algorithm. Challenges and research opportunities are reviewed.
The chapters that follow present state-of-the-art techniques for discovering periodic patterns in (1) transactional databases, (2) temporal databases, (3) quantitative temporal databases, and (4) big data. Then, the theory on concise representations of periodic patterns is presented, as well as hiding sensitive information using privacy-preserving data mining techniques.
The book concludes with several applications of periodic pattern mining, including applications in air pollution data analytics, accident data analytics, and traffic congestion analytics.
The first chapter is an introduction to pattern mining and periodic pattern mining. The concepts of periodicity, periodic support, search space exploration techniques, and pruning strategies are discussed. The main types of algorithms are also presented such as periodic-frequent pattern growth, partial periodic pattern-growth, and periodic high-utility itemset mining algorithm. Challenges and research opportunities are reviewed.
The chapters that follow present state-of-the-art techniques for discovering periodic patterns in (1) transactional databases, (2) temporal databases, (3) quantitative temporal databases, and (4) big data. Then, the theory on concise representations of periodic patterns is presented, as well as hiding sensitive information using privacy-preserving data mining techniques.
The book concludes with several applications of periodic pattern mining, including applications in air pollution data analytics, accident data analytics, and traffic congestion analytics.
![Periodic Pattern Mining: Theory, Algorithms, and Applications](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.10.4)
Periodic Pattern Mining: Theory, Algorithms, and Applications
![Periodic Pattern Mining: Theory, Algorithms, and Applications](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.10.4)
Periodic Pattern Mining: Theory, Algorithms, and Applications
eBook(1st ed. 2021)
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Product Details
ISBN-13: | 9789811639647 |
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Publisher: | Springer-Verlag New York, LLC |
Publication date: | 10/29/2021 |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 38 MB |
Note: | This product may take a few minutes to download. |