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Special Session
Web and Text Mining - WTM 2011
Ana Fred
Technical University of Lisbon / IT
The Special Session on Web and Text Mining (WTM) is a forum for researchers and practitioners who are concerned with exploring large unstructured or semi-structured data repositories, such as webpages and emails, using intelligent tools that can be used to extract useful information, using technologies from diverse knowledge areas such as machine learning, pattern recognition, natural language processing or statistics, involving multi-dimensional document analysis.
Topics of interest include clustering and classification, using statistical or syntactic methods, semantic networks, fuzzy systems and inference, applied to knowledge discovery in unstructured documents, in any domain of application, such as business, biomedical, academic, for any purpose, such as web user profiling, recommender systems, email organization and processing, security, etc.
Authors are invited to submit their research contributions and case-studies. This special session provides an opportunity to present state-of-art research and development tools related to web and text mining and also to come up-to-date on important issues involved in knowledge discovery and information retrieval.
All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference and on CD-ROM support.
All papers presented at the conference venue will be available at the SciTePress Digital Library (http://www.scitepress.org/DigitalLibrary/).