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From bits and bytes to information and knowledge

: Hofmann, T.


Chowdhury, A. ; Association for Computing Machinery -ACM-, Special Interest Group on Information Retrieval -SIGIR-; Gesellschaft für Informatik -GI-, Bonn:
14th ACM International Conference on Information and Knowledge Management 2005. Proceedings : October 31 - November 5, 2005, Bremen, Germany
New York: ACM, 2005
ISBN: 1-59593-140-6
International Conference on Information and Knowledge Management (CIKM) <14, 2005, Bremen>
Conference Paper
Fraunhofer IPSI; 2007

Unstructured data is a valuable source of information and implicit knowledge. Yet, the bits and bytes of, e.g., text, image, or click-stream data need to be interpreted in order to transform them into business intelligence and actionable information. Clearly, this process needs to be automated to the largest possible extend in order to be scalable to the typical volumes of data. One way to accomplish this is through the use of machine learning and statistical modeling techniques. This talk will provide an overview of recent progress and new trends in machine learning and discuss their relevance for developing intelligent tools for search, information filtering, categorization, and knowledge extraction.