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» Numbers in Multi-relational Data Mining
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ICPR
2006
IEEE
16 years 28 days ago
Scalable Representative Instance Selection and Ranking
Finding a small set of representative instances for large datasets can bring various benefits to data mining practitioners so they can (1) build a learner superior to the one cons...
Xindong Wu, Xingquan Zhu
ADBIS
2007
Springer
143views Database» more  ADBIS 2007»
15 years 6 months ago
Aggregating Multiple Instances in Relational Database Using Semi-Supervised Genetic Algorithm-based Clustering Technique
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
Rayner Alfred, Dimitar Kazakov
SAC
2005
ACM
15 years 5 months ago
SVD-based collaborative filtering with privacy
Collaborative filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. Such techniques recommend products to customers using similar usersā...
Huseyin Polat, Wenliang Du
ICISC
2004
169views Cryptology» more  ICISC 2004»
15 years 1 months ago
ADWICE - Anomaly Detection with Real-Time Incremental Clustering
Abstract. Anomaly detection, detection of deviations from what is considered normal, is an important complement to misuse detection based on attack signatures. Anomaly detection in...
Kalle Burbeck, Simin Nadjm-Tehrani
SAC
2008
ACM
14 years 11 months ago
Adding background knowledge to formal concept analysis via attribute dependency formulas
We present a way to add user's background knowledge to formal concept analysis. The type of background knowledge we deal with relates to relative importance of attributes in ...
Radim Belohlávek, Vilém Vychodil