Data Analysis and Pattern Recognition in Multiple Databases

Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection channels increases in the...

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Bibliographic Details
Main Authors: Adhikari, Animesh, Adhikari, Jhimli (Author), Pedrycz, Witold (Author)
Format: eBook
Published: Cham Springer International Publishing 2014, 2014
Edition:1st ed. 2014
Series:Intelligent Systems Reference Library
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • From the Contents: Synthesizing Different Extreme Association Rules in Multiple Data Sources
  • Clustering items in time-stamped databases induced by stability
  • Mining global patterns in multiple large databases
  • Clustering Local Frequency Items in Multiple Data Sources
  • Mining Patterns of Select Items in Different Data Sources