International Conference on Knowledge Discovery and Information Retrieval (KDIR) 2012

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 Fred, Technical University of Lisbon / IT, Portugal

IC3K Keynote Speakers
Daniel O'Leary, University of Southern California, United States
Sophia Ananiadou, University of Manchester, United Kingdom
Alfred Inselberg, Tel Aviv University, Israel
Peter F. Patel-Schneider, United States
Florian Michahelles, ETH Zürich, Switzerland