Special Issue Article Open Access

A Hybrid BTF Approach for Temporal Query Processing In the Patented Medical Database

Abstract

The Intellectual Query Processing has become mandatory for efficient Information retrieval and Management system. The traditional approaches are not sufficiently enough in dealing with the issues of upcoming temporal events, in the context of MIS in data mart or in enterprise databases. The proposed system provides an effective methodology with three streamlined techniques namely Topic Relevant Query Suggestion with extended Query Augmentation to enhance the functionality of patented data search in high dimensional databases besides anonymizing the sensitive data. On posting a query in the patented database by experts, the reference records are first clustered into topics and classes and the highly coherent cluster partitions are obtained as result. The upshots in each coherent cluster are combined generating top K relevant answers for the examiners. By going through a detailed analysis on different literatures of processing and retrieval of information, the proposed approach amplifies the user’s intention contour and enhances the retrieval time with more efficient memory management. The system provides the information in a graphical part with additional filter criteria. Also the proposed system puts forward the inference control strategy to avoid privacy leakage thereby performing double encryption in the datasets based on the severity. Further investigation of efficient scheduling of intermediate data sets in cloud is considered to update the dataset incase of dynamic change. This technique when implemented in patented medical database will give better results in Query processing in terms of accuracy and cost economy in Electronic Data Interchange (EDI).

T. Yogameera, Dr.D.Shanthi Saravanan

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