Exceptional Patterns with Clustering Items in Multiple Databases

R  Suganthi    and P  Kamalakannan

doi:10.17485/ijst/2015/v8i31/76281

Article

Exceptional Patterns with Clustering Items in Multiple Databases

VIEWS 729
PDF 180

Abstract
Full-Text HTML
Full-Text PDF
How to Cite

Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8i31/76281

Year: 2015, Volume: 8, Issue: 31, Pages: 1-10

Original Article

Exceptional Patterns with Clustering Items in Multiple Databases

R. Suganthi ^1* and P. Kamalakannan²

¹Department of Computer Applications, Valluvar College of Science and Management, Karur - 639003, Tamil Nadu, India; [email protected]
² Department of Computer Science, Arignar Anna Government Arts College, Namakkal - 637 001, Tamil Nadu, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

The information from multiple local databases can be mined together to make global patterns. More global decisions will be based on synthesized patterns and exceptional patterns using clustering technique. To take better decision in organization head quarter level, exceptional patterns also need to be analyzed for non profitable things which help for continuous company growth. Our new strategy is developed considering both clustering the frequent items also exceptional patterns. Various experiments are conducted with 10 sample datasets and the results are recorded in experimental section, with this the significance and limitations behind those approaches can be made clear.
Keywords: Exceptional Patterns, Frequency Item Sets, Global Patterns, Multi Database Mining