Periodic Pattern Mining

Periodic Pattern Mining
Author :
Publisher : Springer Nature
Total Pages : 263
Release :
ISBN-10 : 9789811639647
ISBN-13 : 9811639647
Rating : 4/5 (647 Downloads)

Book Synopsis Periodic Pattern Mining by : R. Uday Kiran

Download or read book Periodic Pattern Mining written by R. Uday Kiran and published by Springer Nature. This book was released on 2021-10-29 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software. Periodic pattern mining is a popular and emerging research area in the field of data mining. It involves discovering all regularly occurring patterns in temporal databases. One of the major applications of periodic pattern mining is the analysis of customer transaction databases to discover sets of items that have been regularly purchased by customers. Discovering such patterns has several implications for understanding the behavior of customers. Since the first work on periodic pattern mining, numerous studies have been published and great advances have been made in this field. The book consists of three main parts: introduction, algorithms, and applications. 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 Related Books

Periodic Pattern Mining
Language: en
Pages: 263
Authors: R. Uday Kiran
Categories: Computers
Type: BOOK - Published: 2021-10-29 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-sou
Advances in Knowledge Discovery and Data Mining
Language: en
Pages: 1098
Authors: Thanaruk Theeramunkong
Categories: Computers
Type: BOOK - Published: 2009-04-21 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand
Frequent Pattern Mining
Language: en
Pages: 480
Authors: Charu C. Aggarwal
Categories: Computers
Type: BOOK - Published: 2014-08-29 - Publisher: Springer

DOWNLOAD EBOOK

This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of freq
High-Utility Pattern Mining
Language: en
Pages: 343
Authors: Philippe Fournier-Viger
Categories: Technology & Engineering
Type: BOOK - Published: 2019-01-18 - Publisher: Springer

DOWNLOAD EBOOK

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 hi
Mining Sequential Patterns from Large Data Sets
Language: en
Pages: 174
Authors: Wei Wang
Categories: Computers
Type: BOOK - Published: 2005-07-26 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

In many applications, e.g., bioinformatics, web access traces, system u- lization logs, etc., the data is naturally in the form of sequences. It has been of gre