Fiscal Implementation of Encoding and Decoding Schema for Graph Mining Technique using Realtime Data Base Management System
M. Antony Sundarsingh1, S.P. Victor2
1Dr. S.P. Victor, HOD, Department of Computer Science, St. Xavier’s College, Tirunelveli (Tamil Nadu), India.
2M. Antony Sundar Singh, Research Scholar, MS University, Tirunelveli (Tamil Nadu), India.
Manuscript received on 21 September 2013 | Revised Manuscript received on 28 September 2013 | Manuscript published on 30 September 2013 | PP: 56-58 | Volume-2 Issue-4, September 2013 | Retrieval Number: D0782092413/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Graph mining in Data Base Management System has become an important topic of research recently because of numerous applications to a wide variety of identification problems in current educational system. Nowadays Graphs play a vital role everywhere, occupying the social networks and mobile networks to biological net-works and the World Wide Web. Mining big graphs leads too many interesting applications including marketing, news groups, community mining, and many more. In this paper we describe a technique for the implementation of encoding schema problem for confidentiality management to a Graph Mining pattern. Our findings include designs to survey different aspects of graph mining and encoding-decoding environment, and provide a compendium for other researchers in the field. The results are revealed for selecting the optimized encoding and decoding schema for the cricket player identification based implemenation towards selection strategies. In the future we will extend our research to propose a Graph-Analysis Implementer for any real-time complex entities.
Keywords: Graph Mining, Graph Pattern, Graph Template, Graph Learning.
Scope of the Article: Data Mining and Warehousing