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Exceptional Patterns in Multi Database Mining


Affiliations
1 Department of Computer Applications, Valluvar College of Science and Management, Karur, Tamilnadu, India
2 Department of Computer Science, Government Arts College, Namakkal, Tamilnadu, India
 

Nowadays, A multi database mining is a important role between head quarters company and their corresponding branch offices in various places among the world. It allows to forward their branch office local patterns to the head quarters which will be synthesized for taking decision in multi databases. we propose a new approach to finding exceptional patterns and compared with the previous methods in multiple databases. the result is compared with the various methodologies yields high performance result than the other methods. it perform well with multiple dataset and it is simple and effective. it yields high outstanding accuracy and the resulting data could be used for further mining.

Keywords

Exception Patterns, Machine Learning, Multi Database, Local Patterns.
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  • Exceptional Patterns in Multi Database Mining

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Authors

R. Suganthi
Department of Computer Applications, Valluvar College of Science and Management, Karur, Tamilnadu, India
P. Kamalakannan
Department of Computer Science, Government Arts College, Namakkal, Tamilnadu, India

Abstract


Nowadays, A multi database mining is a important role between head quarters company and their corresponding branch offices in various places among the world. It allows to forward their branch office local patterns to the head quarters which will be synthesized for taking decision in multi databases. we propose a new approach to finding exceptional patterns and compared with the previous methods in multiple databases. the result is compared with the various methodologies yields high performance result than the other methods. it perform well with multiple dataset and it is simple and effective. it yields high outstanding accuracy and the resulting data could be used for further mining.

Keywords


Exception Patterns, Machine Learning, Multi Database, Local Patterns.