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
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. This has proven to be a promising approach for enhancing the intelligence of software systems and services. The ongoing rapid growth of online data due to the Internet and the widespread use of large databases have created an important need for knowledge discovery methodologies. The challenge of extracting knowledge from data draws upon research in a large number of disciplines including statistics, databases, pattern recognition, machine learning, data visualization, optimization, and high-performance computing, to deliver advanced business intelligence and web discovery solutions.
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.
The primary focus of KDIR is to provide a major forum for the scientific and technical advancement of knowledge discovery and information retrieval.
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.
The primary focus of KDIR is to provide a major forum for the scientific and technical advancement of knowledge discovery and information retrieval.
Program Chair
Ana Fred, Technical University of Lisbon / IT, Portugal
IC3K Keynote Speakers
Jay Liebowitz, University of Maryland University College, U.S.A.Carole Goble, University of Manchester, U.K.
Mayer Aladjem, Ben-Gurion University of the Negev, Israel
Guus Schreiber, VU University Amsterdam, The Netherlands
Jan L. G. Dietz, Delft University of Technology, The Netherlands
Special Session
Text Mining - SSTM
KDIR 2010 received 127 submissions, of which 10% were accepted as full papers. Additionally, 29% were presented as short papers and 23% as posters.
All papers presented at the conference venue were included in the SciTePress Digital Library.
All papers presented at the conference venue were included in the SciTePress Digital Library.
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:
Proceedings will be submitted for indexation by:
