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Information Retrieval Under Data Mining Technique for Text Document

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Proposed Work

The Data mining is done in this work by the proposed technique for recovery of the record or articles in the data-set without having any earlier learning of the document. In this work document recovery was suggested that effectively the bring documentaccording to web user query. Investigation was done on genuine and fake dataset. In some of past work document grouping is happen on the premise of the Prior data knowledge about the data supplier. This restriction is effectively overcome in this work by characterizing entire arrangement of documents with no foundation data. Test was done on genuine and artificial dataset.



In this work real dataset files are used for the experiment. Here documents of various fields are used for the proper learning of the proposed work. Here experiment was done typing different queries having various keywords. Document set contain data of entertainment, games, art, etc.



Results are compare with existing algorithms of this field. It was shown that precision value was raise as compare to previous work while recall value was raise as compare to previous work. Proposed work has increase the retrieval efficiency of the work in all different evaluation parameters. So use of modulus indexing provide privacy and AES provide security for document retrieval.

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Software Requirement :   MATLAB software

Hardware Requirement :   RAM: 2GB, Processor 2.2Ghz

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