Temporal data mining deals with the harvesting of useful information from temporal data.
New initiatives in health care and business organizations have increased the importance of …

With the increase in the size of data sets, data mining has recently become an important
research topic and is receiving substantial interest from both academia and industry. At the …

OBJECTIVE: Clinicians and medical researchers alike require useful, intuitive, and
intelligent tools to process large amounts of time-oriented multiple-patient data from multiple …

We present a data model for tracking mobile objects and reporting the result of queries. The
model relies on a discrete view of the spatio-temporal space, where the 2D space and the …

We ilktrate these concepts in the cente. xt of spatiotemporal databases where space and
time are the natural components. This data model has been implemented in the DEDALE …

Abstract Knowledge discovery in multiple databases offers many opportunities and
challenges. We have given a number of motivating points on knowledge discovery in …

With the increase in the size of datasets, data mining has recently become an important
research topic and is receiving substantial interest from both academia and industry. At the …

This paper focuses on data warehouse modelling. The conceptual model we defined, is
based on object concepts extended with specific concepts like generic classes, temporal …

This paper describes the design of the BASIS prototype system. BASIS stands for B
enchmarking A pproach for S patial I ndex S tructures. It is a prototype system aiming at …

The introduction of spatio-temporal information in database systems presents us with an
important data modelling challenge: the design of data models general and powerful …