Paper Title :The Emperical Survey Study on the Semantic Maps and Spanning Tree For Image Mining

Author :Saritha Dasari, V.V.Ramaprasad, B.Eswara Reddy

Article Citation :Saritha Dasari ,V.V.Ramaprasad ,B.Eswara Reddy , (2016 ) " The Emperical Survey Study on the Semantic Maps and Spanning Tree For Image Mining " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 95-99, Volume-4, Issue-10

Abstract : The Image mining is the vast area of the syllabus which deals with the information and knowledge mining from the databases repositories. Various types of methodologies and mining techniques are used to intently mine in the information’s from the database repositories. The semantic mappings and the spanning tree techniques are one of the two important techniques that deal with the efficient mining of the information from the database repositories. In this paper, the statistical and classification of the semantic maps and spanning trees is being discussed. The complete survey gives the imperial ideology of the semantic maps and spanning trees constraints through which the extraction of the information from the database repositories is being executed. Index Terms— Semantic Maps, Spanning Tree, Index Based Classification.

Type : Research paper

Published : Volume-4, Issue-10

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