A previous definition of seismogenic zones is required to do a probabilistic seismic hazard analysis for areas of spread and low seismic activity. Traditional zoning methods are based on the available seismic catalog and the geological structures. It is admitted that thermal and resistant parameters of the crust provide better criteria for zoning. Nonetheless, the working out of the rheological...

This is only a capsule report and is not meant to be exhaustive. For further information visit http://www.exeter.ac.uk/ FACT/sympo. Professor Edzard Ernst, Director, Complementary Medicine (Peninsula Medical School, Universities of Exeter and Plymouth, UK) served as Chairman. There was a Local Scientific Organizing Committee, an International Scientific Organizing Committee, several sponsors, a...

Personal Information Management (PIM) is an important discipline that evolves with the technology advancements in their operating systems. The understanding of its four main activities in PIM: organizing, retrieving, deleting and archiving are crucial because the information growth in our desktop increased overtime. The paper presents the study conducted to enhance understanding of one of the c...

Automated road information extraction enables the ready creation, maintenance, and update of the transportation network databases used for traffic management and automated vehicle navigation. This paper presents a semi-automatic method for road network extraction from high-resolution satellite images. First, we focus on detecting the seed points in candidate road regions using a Kohonen-type se...

Web intelligence can be defined as the process of scanning and tracking information on the World Wide Web so as to gain competitive advantages. This paper describes a system known as Flexible Organizer for Competitive Intelligence (FOCI) that transforms raw URLs returned by internet search engines into personalized information portfolios. FOCI builds information portfolios by gathering and orga...

| Self-organizing maps are a prominent unsuper-vised neural network model providing cluster analysis of high-dimensional input data. However, in spite of enhanced vi-sualization techniques for self-organizing maps, interpreting a trained map proves to be diicult because the features responsible for a speciic cluster assignment are not evident from the resulting map representation. In this paper...