Competent multi relational classifier using filter based feature selection method on CrossMine algorithm

Author

Shaikh, A.S. ; Kapadia, A.M.

fYear

2012

fDate

6-8 Dec. 2012

Firstpage

1

Lastpage

4

Abstract

Multi Relational Classifier deals with structured data which is stored in relational databases. When working with MRC (Multi relational Classifier) no need to convert multiple relations in single universal relation. CrossMine algorithm works with relational dataset without doing propositionalization. CrossMine algorithm use Tuple ID Propagation provides the way to directly search pattern from multiple tables with the use of virtual join. Accuracy is the major issue that should be considered while designing any classifier. In this paper, we have implemented CrossMine algorithm and then applied filter based feature selection method in order to increase the classifier accuracy.

Keywords

data mining; feature extraction; information filtering; pattern classification; relational databases; CrossMine algorithm; Tuple ID propagation; competent MRC; filter based feature selection method; multirelational classifier; relational databases; search pattern; structured data; universal relation; CrossMine algorithm; Filter based feature selection method; Multi relational classification; Tuple ID propagation;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering (NUiCONE), 2012 Nirma University International Conference on

Conference_Location

Ahmedabad

Print_ISBN

978-1-4673-1720-7

Type

conf

DOI

10.1109/NUICONE.2012.6493193

Filename

6493193