Synthesizing High-Utility Patterns from Different Data Sources

Synthesizing High-Utility Patterns from Different Data Sources

In large organizations, it is often required to collect data from the different geographic branches spread over different locations. Extensive amounts of data may be gathered at the centralized location in order to generate interesting patterns via mono-mining the amassed database. However, it is fe...

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Bibliographic Details
Main Authors: Abhinav Muley, Manish Gudadhe
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Data
Subjects:
data integration
data mining
high-utility patterns
knowledge discovery
weighted model
multi-database mining
distributed data mining
Online Access:http://www.mdpi.com/2306-5729/3/3/32

Internet

http://www.mdpi.com/2306-5729/3/3/32

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