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Big Data Analytics
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
Number of Authors: 4
2016 (English)In: Big Data Technologies and Applications, Springer International Publishing , 2016, 13-52 p.Chapter in book (Refereed)
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
Springer International Publishing , 2016. 13-52 p.
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-60013DOI: 10.1007/978-3-319-44550-2_2ISBN: 978-3-319-44548-9ISBN: 978-3-319-44550-2OAI: oai:DiVA.org:ltu-60013DiVA: diva2:1040693
Available from: 2016-10-28 Created: 2016-10-28 Last updated: 2016-12-05Bibliographically approved

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Vasilakos, Athanasios
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