DocumentCode
2919134
Title
The Explore of Some Cases with the Data Mining Techniques
Author
Gu, Shen-Ming ; Zheng, Yun ; Guan, Lin-Ting ; Zhuang, Yue-ting
Author_Institution
Sch. of Math., Zhejiang Ocean Univ., Zhoushan
fYear
2009
fDate
20-22 Feb. 2009
Firstpage
59
Lastpage
63
Abstract
With the development of the computer technology a larger of data is generated and stored and many companies become dasiadata rich and information poorpsila. This paper describes how BT has used data mining techniques to convert volume data into high-value information which can be used to aid decision making in a number of key business processes. The benefit of actively using data, as opposed to passively storing it, is demonstrated via a number of case studies which cover areas as diverse as fault diagnosis, fraud detection, market segmentation, credit vetting and litigation assessment.
Keywords
business data processing; data mining; information management; business processes; credit vetting; data mining; data rich; decision making; fault diagnosis; fraud detection; high-value information; information poor; litigation assessment; market segmentation; volume data; Computer crime; Data analysis; Data mining; Databases; Decision making; Fault detection; Fault diagnosis; Marine technology; Marketing and sales; Pattern analysis; credit vetting; data mining; fault diagnosis; fraud detection; litigation assessment; market segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Computer Technology, 2009 International Conference on
Conference_Location
Macau
Print_ISBN
978-0-7695-3559-3
Type
conf
DOI
10.1109/ICECT.2009.47
Filename
4795920
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