The task of finding correlations between items in a dataset, association mining, has received
considerable attention over the last decade. This article presents a survey of association …

In a vertical representation of a market-basket database, each item is associated with a
column of values representing the transactions in which it is present. The association-rule …

In this paper, we consider the problem of the incremental mining of sequential patterns when
new transactions or new customers are added to an original database. We present a new …

研究一类涉及远距离运输的时鲜产品供应链的优化和协调问题. 其中生产商从生产基地将时鲜
产品运输到远方批发市场进行销售; 因为远距离运输的不确定性, 他需要承担时鲜产品中途变质 …

Nous proposons dans cet article l'algorithme Pascal qui introduit une nouvelle optimisation
de l'algorithme de référence Apriori. Cette optimisation est fondée sur le comptage des …

In this paper, we propose to perform early fault diagnosis using high-resolution spectral
analysis of the stator current to detect bearing faults in electrical induction machine. While …

Association Rule Mining is one of the important areas of research, receiving increasing
attention. It is an essential part of Knowledge Discovery in Databases (KDD). The scope of …

Dans un contexte riche d'information, un système de recherche d'information doit être
capable de trouver les meilleurs résultats possibles dans un océan d'information. Notre …

Sequential pattern mining has been an emerging problem in data mining. In this paper, we
propose a new algorithm for mining frequent sequences. It processes only one scan of the …

Pattern extraction is one of the major topics in the Knowledge Discovery from Data (KDD)
and Background Knowledge Integration (BKI) research domains. Extracting patterns from …