Data Analysis and Pattern Recognition in Multiple Databases

• Main Authors: Adhikari, Animesh (Author), Adhikari, Jhimli (Author), Pedrycz, Witold (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: Intelligent Systems Reference Library, 61
• Subjects: Engineering.; Data mining.; Pattern recognition.; Computational intelligence.; Computational Intelligence.; Pattern Recognition.; Data Mining and Knowledge Discovery.

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...

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.