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Advances in Knowledge Discovery in Databases

  • Book
  • © 2015

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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Table of contents (17 chapters)

Authors and Affiliations

  • Department of Computer Science, Parvatibai Chowgule College, Margao, India

    Animesh Adhikari

  • Department Of Computer Science, Narayan Zantye College, Bicholim, India

    Jhimli Adhikari

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

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