Periodic Pattern Mining Theory Algorithms and Applications 1st edition by Uday Kiran 9789811639647 9811639647

Periodic Pattern Mining Theory Algorithms and Applications 1st edition by Uday Kiran – Ebook PDF Instant Download/Delivery: 9789811639647, 9811639647

Full download Periodic Pattern Mining Theory Algorithms and Applications 1st edition after payment

Product details:

• ISBN 10:9811639647 

• ISBN 13:9789811639647

• Author:Uday Kiran 

 Periodic Pattern Mining
Theory, Algorithms, and Applications
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 Theory Algorithms and Applications 1st Table of contents:

Cover
Front Matter
Introduction to Data Mining
Discovering Frequent Patterns in Very Large Transactional Databases
Discovering Full Periodic Patterns in Temporal Databases
Discovering Fuzzy Periodic Patterns in Quantitative Temporal Databases
Discovering Partial Periodic Patterns in Temporal Databases
Finding Periodic Patterns in Multiple Sequences
Discovering Self-reliant Periodic Frequent Patterns
Discovering Periodic High Utility Itemsets in a Discrete Sequence
Mining Periodic High-Utility Sequential Patterns with Negative Unit Profits
Hiding Periodic High-Utility Sequential Patterns
NetHAPP: High Average Utility Periodic Gapped Sequential Pattern Mining
Privacy Preservation of Periodic Frequent Patterns Using Sensitive Inverse Frequency
Real-World Applications of Periodic Patterns
Insights for Urban Road Safety: A New Fusion-3DCNN-PFP Model to Anticipate Future Congestion from Urban Sensing Data 

People also search for Periodic Pattern Mining Theory Algorithms and Applications 1st:

periodic pattern mining
    
periodic frequent pattern mining
    
frequent pattern mining example
    
what is frequent pattern mining
    
what is a periodic pattern