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» Data Mining for Intrusion Detection: Techniques, Application...
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114
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WWW
2010
ACM
15 years 7 months ago
Find me if you can: improving geographical prediction with social and spatial proximity
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data re...
Lars Backstrom, Eric Sun, Cameron Marlow
112
Voted
DPD
2002
125views more  DPD 2002»
15 years 12 days ago
Parallel Mining of Outliers in Large Database
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
Edward Hung, David Wai-Lok Cheung
91
Voted
DEXAW
2005
IEEE
189views Database» more  DEXAW 2005»
15 years 6 months ago
Knowledge Management Challenges in Knowledge Discovery Systems
Current knowledge discovery systems are armed with many data mining techniques that can be potentially applied to a new problem. However, a system faces a challenge of selecting t...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
ICSM
2009
IEEE
15 years 7 months ago
Predicting change impact from logical models
To improve the ability of predicting the impact scope of a given change, we present two approaches applicable to the maintenance of object-oriented software systems. Our first ap...
Sunny Wong, Yuanfang Cai
94
Voted
KDD
2009
ACM
174views Data Mining» more  KDD 2009»
15 years 7 months ago
Visual exploration of categorical and mixed data sets
For categorical data there does not exist any similarity measure which is as straight forward and general as the numerical distance between numerical items. Due to this it is ofte...
Sara Johansson