Modified Approach for Classifying Multi- Dimensional Data-Cube Through Association Rule Mining for Granting Loans in Bank
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2016 by IJCTT Journal | ||
| Volume-33 Number-1 |
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| Year of Publication : 2016 | ||
| Authors : Dr. K.Kavitha | ||
| DOI : 10.14445/22312803/IJCTT-V33P102 |
Dr. K.Kavitha "Modified Approach for Classifying Multi- Dimensional Data-Cube Through Association Rule Mining for Granting Loans in Bank". International Journal of Computer Trends and Technology (IJCTT) V33(1):9-13, March 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
In this paper, modified Approach for
classifying Multi-dimensional data cube is constructed.
It explores data cubes in large Multi-Dimensional
Schema. Numerical and Nominal attributes are
categorized based on Principal Component Analysis.
Semantic relationships are identified by applying Multidimensional
scaling. Additionally, AR is integrated for
finding the inserting measures. Many algorithms have
been proposed for applying Multi-dimensional schema.
But still some difficulties to category wise the
integrated rules. The proposed approach suggested a
new idea for categorizing the rules by using bank loan
detect. This method provides accurate prediction and
consumes less time than existing method.
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Keywords
Association Rules, Datacubes, Data
Mining, Multidimensional Schema, Information Gain.