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» Detecting Inconsistencies in Distributed Data
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CIKM
2009
Springer
14 years 3 days ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
TITB
2010
120views Education» more  TITB 2010»
13 years 3 months ago
A distributed, collaborative intelligent agent system approach for proactive postmarketing drug safety surveillance
Discovering unknown adverse drug reactions (ADRs) in postmarketing surveillance as early as possible is of great importance. The current approach to postmarketing surveillance prim...
Yanqing Ji, Hao Ying, Margo S. Farber, John Yen, P...
WWW
2009
ACM
14 years 9 months ago
A hybrid phish detection approach by identity discovery and keywords retrieval
Phishing is a significant security threat to the Internet, which causes tremendous economic loss every year. In this paper, we proposed a novel hybrid phish detection method based...
Guang Xiang, Jason I. Hong
PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
14 years 2 months ago
A Random Method for Quantifying Changing Distributions in Data Streams
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Haixun Wang, Jian Pei
CARS
2004
13 years 10 months ago
Learning-based pulmonary nodule detection from multislice CT data
An automatic computer-aided detection system is developed for detecting pulmonary nodules from high resolution CT data. The system is based on the concept of machine learning. A ro...
Xiaoguang Lu, Guo-Qing Wei, Jian Zhong Qian, Anil ...