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» Mining data streams: a review
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KDD
2009
ACM
187views Data Mining» more  KDD 2009»
14 years 9 months ago
New ensemble methods for evolving data streams
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...
CORR
2010
Springer
151views Education» more  CORR 2010»
13 years 7 months ago
A Comprehensive Survey of Data Mining-based Fraud Detection Research
This survey paper categorises, compares, and summarises from almost all published technical and review articles in automated fraud detection within the last 10 years. It defines t...
Clifton Phua, Vincent C. S. Lee, Kate Smith-Miles,...
PAKDD
2009
ACM
135views Data Mining» more  PAKDD 2009»
14 years 3 months ago
On Mining Rating Dependencies in Online Collaborative Rating Networks
The trend of social information processing sees e-commerce and social web applications increasingly relying on user-generated content, such as rating, to determine the quality of o...
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
14 years 3 months ago
Stream Sequential Pattern Mining with Precise Error Bounds
Sequential pattern mining is an interesting data mining problem with many real-world applications. This problem has been studied extensively in static databases. However, in recen...
Luiz F. Mendes, Bolin Ding, Jiawei Han
WWW
2008
ACM
14 years 9 months ago
Efficient mining of frequent sequence generators
Sequential pattern mining has raised great interest in data mining research field in recent years. However, to our best knowledge, no existing work studies the problem of frequent...
Chuancong Gao, Jianyong Wang, Yukai He, Lizhu Zhou