This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
We investigate the problem of creating and analyzing samples of relational databases to find relationships between string-valued attributes. Our focus is on identifying attribute...
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
In the global economy, proper organisation and planning of production and storage locations, transportation and scheduling are vital to retain the competitive edge of companies. Th...
This paper deals with the definitions, explanations and testing of the PageRank formula modified and adapted for bibliographic networks. Our modifications of PageRank take into ac...