We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
Adaptation and personalization services of the information offered to the users in open e-learning environments are considered to be the turning point of recent research efforts. ...
Visualization research seeks to exploit the human user’s ability to interpret graphical representations of data in order to provide insight into properties of the data that may ...
Data mining focuses on the development of methods and algorithms for such tasks as classification, clustering, rule induction, and discovery of associations. In the database fiel...
: A method for discovering multi-head attributional rules in large databases is presented and illustrated by results from an implemented program. Attributional rules (a.k.a. attrib...