Searching Big Data via cyclic groups

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Timur Karacay

Abstract

We look up for a certain information in big data. To achieve this task we first endow the big data with a group structure and partition it to it’s cyclic subgroups. We devise a method to search the whole big data starting from the smallest subroup through the largest one. Our method eventually exhausts the whole big data.


Keywords: BigData, topological groups, dual groups, linear search.

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How to Cite
Karacay, T. (2017). Searching Big Data via cyclic groups. Global Journal of Computer Sciences: Theory and Research, 6(2), 47–53. https://doi.org/10.18844/gjcs.v6i2.1475
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