1266 search results - page 22 / 254 » Detecting Inconsistencies in Distributed Data |
89
Voted
CIKM
2009
Springer
15 years 3 months ago
2009
Springer
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....
102
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TITB
2010
14 years 7 months ago
2010
Discovering unknown adverse drug reactions (ADRs) in postmarketing surveillance as early as possible is of great importance. The current approach to postmarketing surveillance prim...
WWW
2009
ACM
16 years 1 months ago
2009
ACM
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...
116
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PKDD
2005
Springer
15 years 5 months ago
2005
Springer
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...
73
Voted
CARS
2004
15 years 1 months ago
2004
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...