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» Modeling Rule Precision
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PAKDD
2005
ACM
128views Data Mining» more  PAKDD 2005»
15 years 12 months ago
A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
Traditional association rules mining cannot meet the demands arising from some real applications. By considering the different values of individual items as utilities, utility mini...
Ying Liu, Wei-keng Liao, Alok N. Choudhary
ISCAS
2003
IEEE
117views Hardware» more  ISCAS 2003»
15 years 11 months ago
Learning temporal correlations in biologically-inspired aVLSI
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
Adria Bofill-i-Petit, Alan F. Murray
AUSDM
2006
Springer
157views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Safely Delegating Data Mining Tasks
Data mining is playing an important role in decision making for business activities and governmental administration. Since many organizations or their divisions do not possess the...
Ling Qiu, Kok-Leong Ong, Siu Man Lui
CP
2010
Springer
15 years 5 months ago
Local Consistency and SAT-Solvers
In this paper we show that the power of using k-consistency techniques in a constraint problem is precisely captured by using a particular inference rule, which we call positive-hy...
Justyna Petke, Peter Jeavons
IDA
2003
Springer
15 years 11 months ago
Very Predictive Ngrams for Space-Limited Probabilistic Models
In sequential prediction tasks, one repeatedly tries to predict the next element in a sequence. A classical way to solve these problems is to fit an order-n Markov model to the da...
Paul R. Cohen, Charles A. Sutton