Performance Evaluation of Predictive Data Mining Using Soft Computing Approach
| Author(s) | : | Ms. Meghana, Prof. S. P. Akarte |
| Institution | : | Dept. of Computer Science and Engineering, Prof. Ram Meghe Institute of Technology and Research,Badnera,Amravat |
| Published In | : | Vol. 1, Issue 6 — June 2014 |
| Page No. | : | 104-111 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The paper is about the results on mining of data and finding essential information from large amounts ofdata. Extracting the knowledge from huge amounts of data is known as Data Mining. Use of algorithms to extract theinformation and patterns is derived by the KDD process. To finding useful information and patterns in data isKnowledge Discovery in Databases. Research in data mining continues growing in business and in learningorganization over coming decades. This report presents a data mining study of medical data with fuzzy. We survey onthe theoretical and practical developments of the theory of fuzzy logic and soft computing. Specifically, brieflyreview the history and main milestones of fuzzy logic (in the wide sense), the more recent development of softcomputing, and finalize by presenting a panoramic view of applications.
Ms. Meghana, Prof. S. P. Akarte, “Performance Evaluation of Predictive Data Mining Using Soft Computing Approach”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 6, pp. 104-111, June 2014.
