708 search results - page 63 / 142 » Improving Mining Quality by Exploiting Data Dependency |
129
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ICDE
2012
IEEE
13 years 2 months ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
ICDM
2006
IEEE
15 years 5 months ago
2006
IEEE
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
101
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KDD
2005
ACM
15 years 5 months ago
2005
ACM
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
SAC
2004
ACM
15 years 5 months ago
2004
ACM
With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
ICDM
2010
IEEE
14 years 9 months ago
2010
IEEE
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...