Overview
- Recent Research in Knowledge Discovery in Databases (KDD)
- Presents advances in the areas of market basket database, time-stamped databases and multiple related databases
- Reports various interesting and intelligent algorithms on data mining tasks
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 79)
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About this book
This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.
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Keywords
Table of contents (17 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Advances in Knowledge Discovery in Databases
Authors: Animesh Adhikari, Jhimli Adhikari
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-13212-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-13211-2Published: 19 January 2015
Softcover ISBN: 978-3-319-36606-7Published: 24 September 2016
eBook ISBN: 978-3-319-13212-9Published: 27 December 2014
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XV, 370
Number of Illustrations: 136 b/w illustrations
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Artificial Intelligence