Pertaining the Concept of Risk Evaluation and Prediction for Multi-Dimensional Clustering
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2016 by IJCTT Journal | ||
| Volume-32 Number-1 |
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| Year of Publication : 2016 | ||
| Authors : Dr. K.Kavitha | ||
| DOI : 10.14445/22312803/IJCTT-V32P103 |
Dr. K.Kavitha "Pertaining the Concept of Risk Evaluation and Prediction for Multi-Dimensional Clustering". International Journal of Computer Trends and Technology (IJCTT) V32(1):14-16, February 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Data mining technique has some major
improvement in the field of knowledge discovery
clustering is an important techniques to group the
similar items without advance knowledge. Risk
assessment is an important task of passport
sanction through E_corner. Risk evaluation
process is used to identify the applicant’s
behaviour. Risk evaluation and prediction is done
based on decision making approach. This method
allows the user to generate the risk percentage can
be sanctioned or not. This paper concentrates
mainly the concept of multi-dimensional data
clustering for Risk evaluation and prediction.
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Keywords
Risk Evaluation, Prediction,
Association Rule, Interesting Measures, Feature
Extraction.