Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of d...
Knowledge Discovery in Databases (KDD) is a data analysis process which, in contrast to conventional data analysis, automatically generates and evaluates very many hypotheses, deal...
Databases supporting time dependent and continuously changing geometries, called moving objects databases, have been studied for about 15 years. The field has been flourishing and...
A new method to detect different linear structures in a data set, called Linear Grouping Algorithm (LGA), is proposed. LGA is useful for investigating potential linear patterns in...
Stefan Van Aelst, Xiaogang Wang, Ruben H. Zamar, R...
As the XML model gets more popular, new needs arise to specify access control within XML model. Various XML access control models and enforcement methods have been proposed recentl...