Skip to main content
  • Book
  • © 2015

Advances in Knowledge Discovery in Databases

  • 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)

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (17 chapters)

  1. Front Matter

    Pages i-xv
  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

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

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access