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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Sirmakessis, Spiros (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Studies in Fuzziness and Soft Computing, 185
Temas:
Computer science.
Engineering mathematics.
Engineering > Data processing.
Theory of Computation.
Mathematical and Computational Engineering Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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