International Journal of Computer
Trends and Technology

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Volume 32 | Number 1 | Year 2016 | Article Id. IJCTT-V32P103 | DOI : https://doi.org/10.14445/22312803/IJCTT-V32P103

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

Dr. K.Kavitha

Citation :

Dr. K.Kavitha, "Pertaining the Concept of Risk Evaluation and Prediction for Multi-Dimensional Clustering," International Journal of Computer Trends and Technology (IJCTT), vol. 32, no. 1, pp. 14-16, 2016. Crossref, https://doi.org/10.14445/22312803/ IJCTT-V32P103

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.

Keywords

Risk Evaluation, Prediction, Association Rule, Interesting Measures, Feature Extraction.

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