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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2005.
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| Σειρά: | Studies in Fuzziness and Soft Computing,
185 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
