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Apriori Association Rules Learning
2018HTTP cookies are used to monitor web-traffic and track users surfing the Internet. We often notice that promotions (ads) on websites tend to match our needs, reveal our prior browsing history, or reflect our interests. That is not an accident. Nowadays, recommendation systems are highly based on machine learning methods that can learn the behavior, e.g.
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Robust learning rule for bidirectional associative memory
Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan), 2005A robust learning rule, called adaptive Ho-Kashyap bidirectional learning (AHKBL), is proposed to enhance the capacity and error correction capability of a bidirectional associative memory (BAM). Also, the sufficient conditions for convergence of AHKBL are discussed.
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Exploiting association and correlation rules parameters for learning Bayesian networks
Intelligent Data Analysis, 2009In data mining, association and correlation rules are inferred from data in order to highlight statistical dependencies among attributes. The metrics defined for evaluating these rules can be exploited to score relationships between attributes in Bayesian network learning.
STORARI, Sergio +2 more
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An associative model of geometry learning: A modified choice rule.
Journal of Experimental Psychology: Animal Behavior Processes, 2008In a recent article, the authors (Miller & Shettleworth, 2007) showed how the apparently exceptional features of behavior in geometry learning ("reorientation") experiments can be modeled by assuming that geometric and other features at given locations in an arena are learned competitively as in the Rescorla-Wagner model and that the probability of ...
Noam Y, Miller, Sara J, Shettleworth
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Paired associate learning in reading-disabled children: Evidence for a rule-learning deficiency
Journal of Experimental Child Psychology, 1987Two experiments examined whether normal and disabled readers differed in the utilization of rules in a paired associate learning task. Experiment 1 required children to learn symbol-word associates. Children were assigned to one of three conditions: nonrule, consistent rule, or inconsistent rule.
F R, Manis +6 more
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Meta-learning for Post-processing of Association Rules
2010The paper presents a novel approach to post-processing of association rules based on the idea of meta-learning. A subsequent association rule mining step is applied to the results of "standard" association rule mining. We thus obtain "rules about rules" that help to better understand the association rules generated in the first step.
Petr Berka, Jan Rauch
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Multiagent Association Rules Mining in Cooperative Learning Systems
2005Recently, multiagent systems and data mining have attracted considerable attention in the computer science community. This paper combines these two hot research areas to introduce the term multiagent association rule mining on a cooperative learning system, which investigates employing data mining on a cooperative multiagent system.
Reda Alhajj, Mehmet Kaya
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Business Rule Learning with Interactive Selection of Association Rules
2014Vojíř, Stanislav +2 more
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