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KDubiq Goals

The major goal of KDubiq-CA is to set up a homogeneous platform for building
intelligent ubiquitous knowledge discovery systems in a highly interdisciplinary research environment. This has been achieved during the KDubiq project life by providing a common perspective of the new, emergent research area - KDubiq = Ubiquitous Knowledge Discovery -.

Relevant research done on learning from experience in many neighbouring disciplines include:

  • machine learning, statistics
  • geo-, spatio-temporal information systems
  • knowledge discovery in heterogeneous databases or distributed data mining
  • media, pervasive computing, and ubiquitous data mining
  • data mining in security, surveillance, and privacy protection
  • high-performance computing, mobile and ubiquitous computing
  • ambient intelligence and probabilistic robotics
  • human computer interaction (HCI) and cognitive modelling

We have achieved to integrate the research results from these interdisciplinary, interrelated fields by working with the KDubiq Community in different form of activities in oder :

  • to identify new research challenges — heterogeneity, spatial distribution, multi-modality, grid computation, multi-platform computation, security and privacy issues
  • to stimulate the emergence of ideas for long-term research
  • to derive strategic guidelines for long-term research: a blueprint will be produced and periodically updated
  • to identify, contact, and bring together as much as possible of the disciplines that contribute to the many facets of ubiquitous knowledge discovery
  • to identify and foster new emergent technologies and innovative applications that can be transferred to industry and public sector organizations
  • to provide a forum for academy, industry and the public sector to establish collaborations, by maintaining information service for scientists, industry people, and practitioners
  • to familiarize researchers in the field with recent results in the cognitive sciences

KDubiq Blueprint

The KDubiq members have worked on setting up a long term research agenda for Ubiquitous Knowledge Discovery with special focus to industry research and transfer of research results to industry applications. The KDubiq project tried to remain very much focused towards embedded and ubiquitous applications. It was not necessarily including the whole data mining and machine learning landscape.

The final result of this project is a joint book (the KDubiq Blueprint) called – Ubiquitous Knowledge Discovery - that is going to be published in Springer state-of-art series in autumn 2008.

Ubiquitous Kdnowledge
		Discovery

 
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