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» Theoretical Frameworks for Data Mining
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PAKDD
2004
ACM
121views Data Mining» more  PAKDD 2004»
14 years 2 months ago
Secure Association Rule Sharing
Abstract. The sharing of association rules is often beneficial in industry, but requires privacy safeguards. One may decide to disclose only part of the knowledge and conceal stra...
Stanley R. M. Oliveira, Osmar R. Zaïane, Y&uu...
PAKDD
1999
ACM
129views Data Mining» more  PAKDD 1999»
14 years 1 months ago
Visually Aided Exploration of Interesting Association Rules
Association rules are a class of important regularities in databases. They are found to be very useful in practical applications. However, the number of association rules discovere...
Bing Liu, Wynne Hsu, Ke Wang, Shu Chen
ICDM
2010
IEEE
193views Data Mining» more  ICDM 2010»
13 years 7 months ago
Supervised Link Prediction Using Multiple Sources
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S....
SDM
2010
SIAM
165views Data Mining» more  SDM 2010»
13 years 10 months ago
Exact Passive-Aggressive Algorithm for Multiclass Classification Using Support Class
The Passive Aggressive framework [1] is a principled approach to online linear classification that advocates minimal weight updates i.e., the least required so that the current tr...
Shin Matsushima, Nobuyuki Shimizu, Kazuhiro Yoshid...
GI
1999
Springer
14 years 1 months ago
Caching in Networks
d Abstract) Friedhelm Meyer auf der Heide   Berthold V¨ocking† Matthias Westermann   We present a general framework for the development of online algorithms for data manageme...
Matthias Westermann