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» Techniques of Cluster Algorithms in Data Mining
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AUSAI
2004
Springer
15 years 10 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
Stefan Mutter, Mark Hall, Eibe Frank
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
16 years 6 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
ICMCS
2005
IEEE
120views Multimedia» more  ICMCS 2005»
16 years 15 min ago
KPYR: An Efficient Indexing Method
Motivated by the needs for efficient indexing structures adapted to real applications in video database, we present a new indexing structure named Kpyr. In Kpyr, we use a clusteri...
Thierry Urruty, Fatima Belkouch, Chabane Djeraba
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
16 years 7 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim
CIKM
2009
Springer
16 years 29 days ago
Mining tourist information from user-supplied collections
Tourist photographs constitute a large part of the images uploaded to photo sharing platforms. But filtering methods are needed before one can extract useful knowledge from noisy ...
Adrian Popescu, Gregory Grefenstette, Pierre-Alain...