Data Retrieval and Sorting for Multidimensional Data Using Machine Learning in Big Data

Main Article Content

Ms. Nipa D. Bhadja, Prof. Ashutosh A. Abhangi

Abstract

How to retrieve accurately and quickely locate information from massive network data from the big data is focuse on data retrieve sorting optimization model.Based on traditional data retrieval sorting technology this work proposes multidimensional data retrieval and sorting considering the characteristic of data,users and application. This work use the financial microblog data retrieval base on real query intensions and financial tendency of the system. Finally this work shows the test results for multidimensional data retrieval and sorting using machine learning. In this thesis, proposed methodology has been presented. The proposed system is implemente using machine learning based on the multidimensional data characteristic. This proposed system is implemented in java . It shows soritng and retrieval result of the system based on the characteristic of multidimensional data.

Article Details

How to Cite
, M. N. D. B. P. A. A. A. (2018). Data Retrieval and Sorting for Multidimensional Data Using Machine Learning in Big Data. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(4), 512–516. Retrieved from https://ijfrcsce.org/index.php/ijfrcsce/article/view/1558
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