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INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

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IJPR included in UGC-Approved List of Journals - Ref. No. is SL. No. 4812 & J. No. 63703

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5 - Years Impact Factor

Year 2012 - 2016

Impact Factor: 1.55

Total Publications: 317

Total Citation: 491

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Impact Factor: 1.46

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MR-mRMR Feature Selection Approach with an Incremental Classifier Model in Big data

Author: BLESSY LINCY.S.S, SURESH KUMAR NAGARAJAN
Abstract: The selection of the features for the processing plays a vital role which also has a significant impact on the overall task that has to be performed with the data. With the rapid technological growth the data handling approaches and methods has evolved to meet the demands faced with the voluminous data. In this paper, a feature selection algorithm is proposed to choose a subset of features that represent the entire dataset for the processing. It is evident that the data quality can be improved on applying the feature selection. Further, an incremental model is applied on the data to perform classification and to handle the new arriving instances of the data. The proposed approaches are implemented along the Apache Spark framework and the results are analyzed to show the efficiency in terms of various performance metrics. The experimental study made with the set of real life massive data streams shows the effectiveness of the proposed approach and it is evident that we are able to provide the efficient nearest neighbor method for the high-speed big data with streaming data instances.
Keyword: MR-mRMR algorithm, big data, Incremental model, Classification
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Impact Factor for five years is 1.55 (2012 - 2016)

Year 2011 - 2015 Impact Factor - 1.46 Total Publications - 326 Total Citations - 477