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Big data analytics: a survey
Department of Computer Science and Information Engineering, National Ilan University, Yilan.
Institute of Computer Science and Information Engineering, National Chung Cheng University, Chia-Yi.
Department of Computer Science and Information Engineering, National Ilan University, Yilan.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1902-9877
2015 (English)In: Journal of Big Data, ISSN 2196-1115, Vol. 2, article id 21Article in journal (Refereed) Published
Abstract [en]

The age of big data is now coming. But the traditional data analytics may not be able to handle such large quantities of data. The question that arises now is, how to develop a high performance platform to efficiently analyze big data and how to design an appropriate mining algorithm to find the useful things from big data. To deeply discuss this issue, this paper begins with a brief introduction to data analytics, followed by the discussions of big data analytics. Some important open issues and further research directions will also be presented for the next step of big data analytics.

Place, publisher, year, edition, pages
2015. Vol. 2, article id 21
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-11484DOI: 10.1186/s40537-015-0030-3Scopus ID: 2-s2.0-85013880602Local ID: a7883065-8f24-4010-aa91-21b61150b336OAI: oai:DiVA.org:ltu-11484DiVA, id: diva2:984434
Note

Godkänd; 2015; 20151008 (andbra)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-01-10Bibliographically approved

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Vasilakos, Athanasios

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