A Review of ―A Multi-Support-Based Sequential Pattern Mining Algorithm‖ & its optimization Using RBF and Quadratic Programming
| Author(s) | : | Mr. Hemant Sahu, Dinesh Yadav |
| Institution | : | HOD of MCA Department Geetanjali Institute of Technical Studies, Udaipur Rajasthan Technical University, Kota |
| Published In | : | Vol. 3, Issue 11 — November 2016 |
| Page No. | : | 55-61 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Now a days sequential pattern mining algorithm of data mining is used in various aspect such as biological dataanalysis ,Customer shopping sequences, Medical treatments, natural disasters , science & eng. processes, stocks andmarkets, Telephone calling patterns, Web access patterns etc. Here we first study the case of M-sequence analysis and itsprediction on local support, global support, distribution support for their related respective patterns. As the aforesaidalgorithm is the NP-hard type, we also propose its optimization using RBF and Quadratic Programming (QP).
Mr. Hemant Sahu, Dinesh Yadav, “A Review of ―A Multi-Support-Based Sequential Pattern Mining Algorithm‖ & its optimization Using RBF and Quadratic Programming”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 11, pp. 55-61, November 2016.
