Title: Intelligent big data analysis: a review

Authors: Chun-Wei Tsai; Ya-Lan Yang; Ming-Chao Chiang; Chu-Sing Yang

Addresses: Department of Computer Science and Information Engineering, National Ilan University, Yilan 26047, Taiwan ' Department of Electrical Engineering, National Cheng Kung University, Tainan 70101, Taiwan ' Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan ' Department of Electrical Engineering, National Cheng Kung University, Tainan 70101, Taiwan

Abstract: Big data analysis is definitely an urgent task for most information systems. Its importance and potentials can be found in many recent studies. They buzzed with this research issue because the data we collect and create are increasing at an unprecedented rate. Thus, the data analysis process has to be reconsidered. In this paper, we will first give a brief discussion of big data from different perspectives, such as size of data, characteristics of data, and source of data. Then, data mining and other information retrieval technologies for big data will be addressed. A brief review of other computational intelligence technologies for big data will also be given. Finally, open issues and future research trends using computational intelligence technologies are presented to show their potentials for big data.

Keywords: big data analysis; computational intelligence; data mining; information retrieval; soft computing; intelligent data analysis; information systems.

DOI: 10.1504/IJBDI.2014.066957

International Journal of Big Data Intelligence, 2014 Vol.1 No.4, pp.181 - 191

Received: 21 Nov 2013
Accepted: 08 Apr 2014
Published online: 24 Jan 2015 *

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