Who Am I? Analyzing Digital Personas in Cybercrime Investigations Page 1 54 COMPUTER
Published by the IEEE Computer Society 0018-9162/13/$31.00 © 2013 IEEE COVER FEATURE …

Co-clustering based on generalized conceptual relationships can automatically detect story
forms incorporating arche types/targets and actions. Co-clustering can help in identi fying …

Neojihadism taps successfully into the Internet's influence to disseminate its oppression
narrative of Muslims vs. non-believers. Whilst this type of radicalisation has received …

This paper describes a surveillance system that uses a network of sensors of different kind
for localizing and tracking people in an office environment. The sensor network consists of …

BACKGROUND Historically, there has been a gap between what we think we can
understand and what we can actually understand in the complex systems that make up …

In this paper, we utilize feature extraction and model-fitting techniques to process the
rhetoric found in the web sites of 23 Indonesian Islamic religious organizations to profile …

Since the late 1970s, technological developments, especially in communications and
transportation, have contributed to growth of new modes of social interaction and, at the …

We propose a multi-scale text mining methodology and develop a visual intelligence
platform for tracking the diffusion of online social movements. The algorithms utilize large …

Industry is increasingly being confronted with the need to consider the whole life cycle
effects of its products, in order to make environmental improvements of any significance …

In this thesis we look at how we can develop automated analysis tools for Norwegian text.
We look at 3 different tasks: Part-of-Speech (PoS) tagging, Named-Entity Chunking (NEC) …