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116
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AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
15 years 10 months ago
Discovering Frequent Sets from Data Streams with CPU Constraint
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vince...
139
Voted
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
16 years 4 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
136
Voted
ICDM
2009
IEEE
107views Data Mining» more  ICDM 2009»
15 years 1 months ago
Naive Bayes Classification of Uncertain Data
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...
130
Voted
SACMAT
2010
ACM
15 years 2 months ago
Role mining based on weights
Role mining from the existing permissions has been widely applied to aid the process of migrating to an RBAC system. While all permissions are treated evenly in previous approache...
Xiaopu Ma, Ruixuan Li, Zhengding Lu
141
Voted
SDM
2004
SIAM
141views Data Mining» more  SDM 2004»
15 years 5 months ago
Visually Mining through Cluster Hierarchies
Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer aid...
Stefan Brecheisen, Hans-Peter Kriegel, Peer Kr&oum...