Pertaining the Concept of Risk Evaluation and Prediction for Multi-Dimensional Clustering

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-32 Number-1
Year of Publication : 2016
Authors : Dr. K.Kavitha
  10.14445/22312803/IJCTT-V32P103

MLA

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.