Global Journal of Computer Sciences: Theory and Research

Global Journal of Computer Sciences: Theory and Research

Searching Big Data via cyclic groups

Yazarlar: Timur Karacay

Cilt 6 , Sayı 2 , 2016 , Sayfalar 47-53

Konular:-

Anahtar Kelimeler:BigData,Topological groups,Dual groups,Linear search.

Özet: 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.


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BibTex
KOPYALA
@article{2016, title={Searching Big Data via cyclic groups}, volume={6}, number={47–53}, publisher={Global Journal of Computer Sciences: Theory and Research}, author={Timur Karacay}, year={2016} }
APA
KOPYALA
Timur Karacay. (2016). Searching Big Data via cyclic groups (Vol. 6). Vol. 6. Global Journal of Computer Sciences: Theory and Research.
MLA
KOPYALA
Timur Karacay. Searching Big Data via Cyclic Groups. no. 47–53, Global Journal of Computer Sciences: Theory and Research, 2016.