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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Big Data Processing for Full-Text Search and Visualization with Elasticsearch

Author 1: Aleksei Voit
Author 2: Aleksei Stankus
Author 3: Shamil Magomedov
Author 4: Irina Ivanova

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2017.081211

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 12, 2017.

Abstract: In this paper, the task of using Big Data to identify specific individuals on the indirect grounds of their interaction with information resources is considered. Possible sources of Big Data and problems related to its processing are analyzed. Existing means of data clustering are considered. Available software for full-text search and data visualization is analyzed, and a system based on Elasticsearch engine and MapReduce model is proposed for the solution of user verification problem.

Keywords: Big Data processing; verification; elasticsearch; MapReduce; data clustering

Aleksei Voit, Aleksei Stankus, Shamil Magomedov and Irina Ivanova, “Big Data Processing for Full-Text Search and Visualization with Elasticsearch” International Journal of Advanced Computer Science and Applications(IJACSA), 8(12), 2017. http://dx.doi.org/10.14569/IJACSA.2017.081211