DocumentCode
123332
Title
Chances and challenges confronting securities industry and the countermeasures in big data and cloud computing era
Author
Li Ma ; Mingfeng Jiang
Author_Institution
Sch. of Bus., Dalian Univ. of Technol., Dalian, China
fYear
2014
fDate
22-24 Aug. 2014
Firstpage
177
Lastpage
182
Abstract
Along with the more and more application of big data mining based on cloud computing in economic life worldwidely, it has also brought revolution to securities industry. This paper firstly reviews the relevant studies on big data, cloud computing and their applications in securities industry, then with the SWOT analysis method, illustrates the strength of big data mining along with the chances it has brought to securities industry, as well as its inherent weakness and challenges facing with securities industry. Then it investigates the status quo and puts forward the related countermeasures for domestic securities industry to develop big data mining. Finally it summarizes the research and proposes outlooks.
Keywords
Big Data; cloud computing; data mining; economics; securities trading; Big Data; SWOT analysis; cloud computing; data mining; economic life; securities industry; Big data; Blogs; Computers; Electronic publishing; Encyclopedias; Internet; Big data; cloud computing; countermeasures; data mining; securities industry;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
978-1-4799-2949-8
Type
conf
DOI
10.1109/ICCSE.2014.6926450
Filename
6926450
Link To Document