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Advances in Knowledge Discovery in Databases

  • Book
  • © 2015

Overview

Authors:
  1. Animesh Adhikari

    1. Department of Computer Science, Parvatibai Chowgule College, Margao, India

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    You can also search for this author in PubMed   Google Scholar

  2. Jhimli Adhikari

    1. Department Of Computer Science, Narayan Zantye College, Bicholim, India

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Introduction

    • Animesh Adhikari, Jhimli Adhikari
    Pages 1-8

  3. Synthesizing Conditional Patterns in a Database

    • Animesh Adhikari, Jhimli Adhikari
    Pages 9-29

  4. Synthesizing Arbitrary Boolean Expressions Induced by Frequent Itemsets

    • Animesh Adhikari, Jhimli Adhikari
    Pages 31-47

  5. Measuring Association Among Items in a Database

    • Animesh Adhikari, Jhimli Adhikari
    Pages 49-72

  6. Mining Association Rules Induced by Item and Quantity Purchased

    • Animesh Adhikari, Jhimli Adhikari
    Pages 73-82

  7. Mining Patterns in Different Related Databases

    • Animesh Adhikari, Jhimli Adhikari
    Pages 83-95

  8. Mining Icebergs in Different Time-Stamped Data Sources

    • Animesh Adhikari, Jhimli Adhikari
    Pages 97-126

  9. Synthesizing Exceptional Patterns in Different Data Sources

    • Animesh Adhikari, Jhimli Adhikari
    Pages 127-153

  10. Clustering Items in Time-Stamped Databases

    • Animesh Adhikari, Jhimli Adhikari
    Pages 155-172

  11. Synthesizing Some Extreme Association Rules from Multiple Databases

    • Animesh Adhikari, Jhimli Adhikari
    Pages 173-195

  12. Clustering Local Frequency Items in Multiple Data Sources

    • Animesh Adhikari, Jhimli Adhikari
    Pages 197-231

  13. Mining Patterns of Select Items in Different Data Sources

    • Animesh Adhikari, Jhimli Adhikari
    Pages 233-254

  14. Mining Calendar-Based Periodic Patterns in Time-Stamped Data

    • Animesh Adhikari, Jhimli Adhikari
    Pages 255-281

  15. Measuring Influence of an Item in Time-Stamped Databases

    • Animesh Adhikari, Jhimli Adhikari
    Pages 283-304

  16. Clustering Multiple Databases Induced by Local Patterns

    • Animesh Adhikari, Jhimli Adhikari
    Pages 305-332

  17. Enhancing Quality of Patterns in Multiple Related Databases

    • Animesh Adhikari, Jhimli Adhikari
    Pages 333-356

  18. Concluding Remarks

    • Animesh Adhikari, Jhimli Adhikari
    Pages 357-368

  19. Back Matter

    Pages 369-370
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Keywords

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.

 

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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