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KDIR is part of IC3K, the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Registration to KDIR allows free access to all other IC3K conferences

 
Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from data, often based on underlying large data sets. A major aspect of Knowledge Discovery is data mining, i.e. applying data analysis and discovery algorithms that produce a particular enumeration of patterns (or models) over the data. Knowledge Discovery also includes the evaluation of patterns and identification of which add to knowledge.
Information retrieval (IR) is concerned with gathering relevant information from unstructured and semantically fuzzy data in texts and other media, searching for information within documents and for metadata about documents, as well as searching relational databases and the Web. Automation of information retrieval enables the reduction of what has been called "information overload".
Information retrieval can be combined with knowledge discovery to create software tools that empower users of decision support systems to better understand and use the knowledge underlying large data sets.

PROGRAM CHAIR

Ana FredInstituto de Telecomunicações / IST, Portugal

IC3K KEYNOTE SPEAKERS

Daniel O'LearyUniversity of Southern California, United States
Sophia AnaniadouUniversity of Manchester, United Kingdom
Alfred InselbergTel Aviv University, Israel
Peter F. Patel-SchneiderNuance, United States
Florian MichahellesETH Zürich, Switzerland

Workshops

Special Sessions

 

A short list of presented papers will be selected
so that revised and extended versions of
these papers will be published by
Springer-Verlag in a CCIS Series book

In Cooperation with:

AAAI  


Proceedings will be submitted for indexation by:

Thomson   INSPEC   DBLP   EI  

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