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