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APWEB
2005
Springer
16 years 1 days ago
Mining Quantitative Associations in Large Database
Association Rule Mining algorithms operate on a data matrix to derive association rule, discarding the quantities of the items, which contains valuable information. In order to mak...
Chenyong Hu, Yongji Wang, Benyu Zhang, Qiang Yang,...
APWEB
2005
Springer
16 years 1 days ago
A Fast Algorithm for Mining Share-Frequent Itemsets
Itemset share has been proposed as a measure of the importance of itemsets for mining association rules. The value of the itemset share can provide useful information such as total...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
GECCO
2003
Springer
15 years 11 months ago
Mining Comprehensible Clustering Rules with an Evolutionary Algorithm
In this paper, we present a novel evolutionary algorithm, called NOCEA, which is suitable for Data Mining (DM) clustering applications. NOCEA evolves individuals that consist of a ...
Ioannis A. Sarafis, Philip W. Trinder, Ali M. S. Z...
CAISE
2009
Springer
15 years 10 months ago
Anomaly Detection Using Process Mining
Abstract. Recently, several large companies have been involved in financial scandals related to mismanagement, resulting in financial damages for their stockholders. In response, c...
Fábio de Lima Bezerra, Jacques Wainer, Wil ...
WEBIST
2008
15 years 8 months ago
A Process Mining Approach to Analyse User Behaviour
Abstract. Designing and personalising systems for specific user groups encompasses a lot of effort with respect to analysing and understanding user behaviour. The goal of our paper...
Laura Maruster, Niels R. Faber, René J. Jor...