High-Utility Pattern Mining -

High-Utility Pattern Mining

Theory, Algorithms and Applications
Buch | Hardcover
VIII, 337 Seiten
2019 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-04920-1 (ISBN)
106,99 inkl. MwSt

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.

 

 Introduction.- Problem Definition.- Algorithms.- Extensions of the Problem.- Research Opportunities.- Open-Source Implementations.- Conclusion.

"This book offers a comprehensive treatment of HUI mining. Researchers will find it invaluable not only for understanding the state of the art, but also for gaining new insights into additional research opportunities. ... Academics, graduate students, and practitioners interested in HUI mining applications will find this book to be a great resource and can experiment with the algorithms using the SPMF open-source data mining software ... ." (Raghvinder Sangwan, Computing Reviews, June 24, 2021)

Erscheinungsdatum
Reihe/Serie Studies in Big Data
Zusatzinfo VIII, 337 p. 123 illus., 79 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 684 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Big Data • Data Mining • High Utility Mining • High Utility Pattern Mining • pattern mining
ISBN-10 3-030-04920-5 / 3030049205
ISBN-13 978-3-030-04920-1 / 9783030049201
Zustand Neuware
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