0
Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

Buy Now

Periodic Pattern Mining - Theory, Algorithms, and Applications (Hardcover, 1st ed. 2021) Loot Price: R4,242
Discovery Miles 42 420
Periodic Pattern Mining - Theory, Algorithms, and Applications (Hardcover, 1st ed. 2021): R. Uday Kiran, Philippe...

Periodic Pattern Mining - Theory, Algorithms, and Applications (Hardcover, 1st ed. 2021)

R. Uday Kiran, Philippe Fournier-Viger, Jose M. Luna, Jerry Chun-Wei Lin, Anirban Mondal

 (sign in to rate)
Loot Price R4,242 Discovery Miles 42 420 | Repayment Terms: R398 pm x 12*

Bookmark and Share

Expected to ship within 12 - 19 working days

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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Release date: October 2021
First published: 2021
Editors: R. Uday Kiran • Philippe Fournier-Viger • Jose M. Luna • Jerry Chun-Wei Lin • Anirban Mondal
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 263
Edition: 1st ed. 2021
ISBN-13: 978-981-16-3963-0
Categories: Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Promotions
LSN: 981-16-3963-9
Barcode: 9789811639630

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

You might also like..

Machine Learning and Data Mining
I Kononenko, M Kukar Paperback R2,019 Discovery Miles 20 190
Deep Learning Applications: In Computer…
Qi Xuan, Yun Xiang, … Hardcover R2,840 Discovery Miles 28 400
Cognitive Robotics and Adaptive…
Maki K. Habib Hardcover R2,784 Discovery Miles 27 840
Digital Technologies for Agriculture
Narendra Rathore Singh Hardcover R6,923 Discovery Miles 69 230
Statistical Modeling in Machine Learning…
Tilottama Goswami, G. R. Sinha Paperback R4,171 Discovery Miles 41 710
Cyber-Physical System Solutions for…
Vanamoorthy Muthumanikandan, Anbalagan Bhuvaneswari, … Hardcover R7,203 Discovery Miles 72 030
Machine Learning for Planetary Science
Joern Helbert, Mario D'Amore, … Paperback R3,590 Discovery Miles 35 900
Machine Learning Techniques for Pattern…
Mohit Dua, Ankit Kumar Jain Hardcover R8,638 Discovery Miles 86 380
Cognitive Data Models for Sustainable…
Siddhartha Bhattacharyya, Naba Kumar Mondal, … Paperback R2,941 Discovery Miles 29 410
Basic Python Commands - Learn the Basic…
Manuel Mcfeely Hardcover R847 R730 Discovery Miles 7 300
Get Started Programming with Python…
Manuel Mcfeely Hardcover R821 R710 Discovery Miles 7 100
Deep Learning for Chest Radiographs…
Yashvi Chandola, Jitendra Virmani, … Paperback R2,186 Discovery Miles 21 860

See more

Partners