Volume 9 Number 9 (Sep. 2014)
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JSW 2014 Vol.9(9): 2427-2434 ISSN: 1796-217X
doi: 10.4304/jsw.9.9.2427-2434

Network Big Data: A Literature Survey on Stream Data Mining

Yi Wu
School of Information Science and Technology, Heilongjiang University Harbin, Heilongjiang,150080, China

Abstract—With the rapid development of Internet, the internet of things and other information technology, big data usually exists in cyberspace as the form of the data stream. It brings great benefits for information society. Meanwhile, it also brings crucial challenges on big data mining in the data stream. Recently, academic and industrial communities have a widespread concern on massive data mining problems and achieve some impressive results. However, due to the big data mining in data stream, those researches are not enough. In this paper, we analyzed the characteristics of stream data mining under big data environment, discussed the challenges and research issues of big data mining in data stream and summarized research achievements on data mining of massive data.

Index Terms—big data, stream data, data mining, data usability

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Cite: Yi Wu, "Network Big Data: A Literature Survey on Stream Data Mining," Journal of Software vol. 9, no. 9, pp. 2427-2434, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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