Priority Based Retrieval of Information with Documents Domain Division Approach
Alla Hashwanth1, P.V.N Sanghavi2, B.B.V Satya Vara Prasad3, Ravi Kumar Tenali4
1Allab Hashwanth, Department Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation.
2P.V.N. Sanghavi, Department Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation.
3MR. B.B.V. Satya Vara Prasad, Assistant Professor in Department of Electronics and Computer Engineering in Koneru Lakshmaiah Education Foundation.
4Ravi Kumar Tenali, Assistant Professor, Department of ECM, Koneru Lakshmaiah Education Foundation (KLEF)

Manuscript received on 18 April 2019 | Revised Manuscript received on 21 May 2019 | Manuscript published on 30 May 2019 | PP: 562-566 | Volume-8 Issue-1, May 2019 | Retrieval Number: F2553037619 /19©BEIESP
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Abstract: Human beings “search” for accomplishing their objectives (desires) in all sorts of situations. The research is still continuing to gain more quality in searching in order to more easily acquire require data and information in all aspects. With most of the existing techniques, the irrelevant documents in searching process are also retrieved because of improper application of knowledge about corresponding domain to which the documents searching belongs. In this paper, an efficient method using which the documents submitted to the database will be divided into specific domain sis proposed. When the users searches for a particular domain or documents, the keywords used in the search used for the identification of domain, and the relevant documents are only retrieved on priority basis. The searched keywords along with association rules, decision trees, indexing techniques plays major role in building this new method. The documents which have more count value of keyword will be retrieved first and later documents in accordance with the descending order of count value of keywords present in them, which results in the retrieval of more related documents at the top.
Index Terms: Keyword Search, Document Division, domain Specific, Priority, Count Value, MySQL, Databases, Information Retrieval. Decision Tree, Inverted Indexing.

Scope of the Article: Information Retrieval