In this paper we attempt to maximize the efficiency of the parallel Apriori Algorithm. The paper analyzes the performance of the algorithm over different datasets and over n proce...
In this paper we are mainly interested in the classification of images into different clusters, each corresponding to an object material in the imaged scene. For that purpose, the...
Jihad Zallat, Pierre Grabbling, Yoshitate Takakura
This paper describes an approach to constructing a probabilistic process model representing knowledge worker activity out of a log of primitive events, such as e-mails, web page v...
In this paper we discuss algorithms for clustering words into classes from unlabelled text using unsupervised algorithms, based on distributional and morphological information. We...
The broad availability of multi-core chips on standard desktop PCs provides strong motivation for the development of new algorithms for logic model checkers that can take advantag...