Text Mining and its Applications Results of the NEMIS Launch Conference /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Sirmakessis, Spiros (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
• Έκδοση: 1st ed. 2004.
• Σειρά: Studies in Fuzziness and Soft Computing, 138
• Θέματα: Computational intelligence.; Application software.; Artificial intelligence.; Information theory.; Computational Intelligence.; Information Systems Applications (incl. Internet).; Artificial Intelligence.; Information and Communication, Circuits.

 The world of text mining is simultaneously a minefield and a gold mine. Text Mining is a rapidly developing applications field and an area of scientific research, using techniques from well-established scientific fields such as data mining, machine learning, information retrieval, natural language processing, case-based reasoning, statistics and knowledge management. The book contains the papers presented during the 1st International Workshop on Text Mining and its Applications held at the University of Patras, which was the launch event of the activities of NEMIS, a network of excellence in the area of text mining and its applications. The conference maintained a balance between theoretical issues and descriptions of case studies to promote synergy between theory and practice in the field of Text Mining. Topics of interest included document processing and visualization techniques, web mining, text mining and knowledge management, as well as user aspects and relations to official statistics. 

 Mining for Gems of Information -- From Text to Information: Document Processing and Visualization, a Text Mining Approach -- Web Mining: The Past, the Present, and Future -- Applications, Sectors and Strategies of Text Mining, a First Overall Picture -- Text Classification of News Articles with Support Vector Machines -- A Review of Web Document Clustering Approaches -- Supervised Term Weighting for Automated Text Categorization -- Machine Learning for Information Extraction in Genomics - State of the Art and Perspectives -- Processing Multilingual Collection for Text Mining Applications -- Text Mining Tools: Evaluation Methods and Criteria -- Knowledge Advantage through online Text Mining. Research Trends in Competitive Intelligence and Virtual Communities Applications -- Real Time Customer Opinion Monitoring -- Validation Techniques in Text Mining (with Application to the Processing of Open-ended Questions) -- Clickstream Analysis, Semiotic Interpretation and Semantic Text Mining for a Distance Measurement on the Hypertextual Map of an Internet-portal -- Text Mining in Official Statistic.