Titlebook: Data Analysis and Pattern Recognition in Multiple Databases; Animesh Adhikari,Jhimli Adhikari,Witold Pedrycz Book 2014 Springer Internatio

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1868-4394 ase Analysis.Written by experts in the field.Includes supple.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. S

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A. E. Rodrigues,M. M. Dias,J. C. B. Lopesdegree of variation of a class, and designed an algorithm to find clusters among items in different data sources. The best cluster is determined by average degree of variation in a cluster. Experimental results are provided for three transactional databases.

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Mining Patterns of Select Items in Different Data Sources,e databases. Each group contains a select item called the . and the group grows while being centered around the nucleus item. Experimental results are concerned with some synthetic and real-world databases.