Knowledge Mining : Proceedings of the NEMIS 2004 Final Conference

Text mining is an exciting application field and an area of scientific research that is currently under rapid development. It uses techniques from well-established scientific fields (e.g. data mining, machine learning, information retrieval, natural language processing, case-based reasoning, statist...

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Bibliografiske detaljer
Hovedforfatter: Sirmakessis, Spiros
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Udgivelse:1st ed. 2005.
Serier:Studies in Fuzziness and Soft Computing 185
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Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Knowledge Mining, Texte imprimé, 9783540250708
• Knowledge Mining, Texte imprimé, 9783540808251
• Knowledge Mining, Texte imprimé, 9783642425394
Indholdsfortegnelse:
  • Knowledge Mining: A Quantitative Synthesis of Research Results and Findings An Evidential Approach to Classification Combination for Text Categorisation Visualization Techniques for Non Symmetrical Relations Understanding Text Mining: A Pragmatic Approach Novel Approaches to Unsupervised Clustering Through k-Windows Algorithm Semiometric Approach, Qualitative Research and Text Mining Techniques for Modelling the Material Culture of Happiness Semantic Distances for Sets of Senses and Applications in Word Sense Disambiguation A Strategic Roadmap for Text Mining Text Mining Applied to Multilingual Corpora Content Annotation for the Semantic Web An Open Platform for Collecting Domain Specific Web Pages and Extracting Information from Them Extraction of the Useful Words from a Decisional Corpus. Contribution of Correspondence Analysis Collective SME Approach to Technology Watch and Competitive Intelligence: The Role of Intermediate Centers New Challenges and Roles of Metadata in Text/Data Mining in Statistics Using Text Mining in Official Statistics Combining Text Mining and Information Retrieval Techniques for Enhanced Access to Statistical Data on the Web: A Preliminary Report Comparative Study of Text Mining Tools Some Industrial Applications of Text Mining Using Text Mining Tools for Event Data Analysis Terminology Extraction: An Analysis of Linguistic and Statistical Approaches Analysis of Biotechnology Patents