Advances in Knowledge Discovery in Databases

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 mea...

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Bibliographic Details
Main Authors: Adhikari, Animesh, Adhikari, Jhimli (Author)
Format: eBook
Published: Cham Springer International Publishing 2015, 2015
Edition:1st ed. 2015
Series:Intelligent Systems Reference Library
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Introduction
  • Synthesizing conditional patterns in a database
  • Synthesizing arbitrary Boolean expressions induced by frequent itemsets
  • Measuring association among items in a database
  • Mining association rules induced by item and quantity purchased
  • Mining patterns different related databases
  • Mining icebergs in different time-stamped data sources.-Synthesizing exceptional patterns in different data Sources
  • Clustering items in time-stamped databases
  • Synthesizing some extreme association rules from multiple databases
  • Clustering local frequency items in multiple data sources
  • Mining patterns of select items in different data sources
  • Mining calendar-based periodic patterns in time-stamped data
  • Measuring influence of an item in time-stamped databases
  • Clustering multiple databases induced by local patterns
  • Enhancing quality of patterns in multiple related databases
  • Concluding remarks