Penelope Markellou, Maria Rigou, Spiros Sirmakessis (auth.), Dr. Spiros Sirmakessis (eds.)9783540250708, 3-540-25070-0
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, statistics and knowledge management) in an effort to help people gain insight, understand and interpret large quantities of (usually) semi-structured and unstructured data. Despite the advances made during the last few years, many issues remain unresolved.
Knowledge Mining draws upon many of the key concepts of knowledge management, data mining and knowledge discovery, meta-analysis and data visualization. Within the context of scientific research, knowledge mining is principally concerned with the quantitative synthesis and visualization of research results and findings.
The book presents results from the application of knowledge mining techniques in various sector of the academic and indystrial research. The results are increased scientific understanding along with improvements in research quality and value. Knowledge mining products can be used to highlight research opportunities, assist with the presentation of “best” scientific evidence, facilitate research portfolio management, as well as, facilitate policy setting and decision making.
Table of contents :
Knowledge Mining: A Quantitative Synthesis of Research Results and Findings….Pages 1-11
An Evidential Approach to Classification Combination for Text Categorisation….Pages 13-22
Visualization Techniques for Non Symmetrical Relations….Pages 23-29
Understanding Text Mining: A Pragmatic Approach….Pages 31-50
Novel Approaches to Unsupervised Clustering Through k -Windows Algorithm….Pages 51-77
Semiometric Approach, Qualitative Research and Text Mining Techniques for Modelling the Material Culture of Happiness….Pages 79-92
Semantic Distances for Sets of Senses and Applications in Word Sense Disambiguation….Pages 93-107
A Strategic Roadmap for Text Mining….Pages 109-122
Text Mining Applied to Multilingual Corpora….Pages 123-131
Content Annotation for the Semantic Web….Pages 133-145
An Open Platform for Collecting Domain Specific Web Pages and Extracting Information from Them….Pages 147-157
Extraction of the Useful Words from a Decisional Corpus. Contribution of Correspondence Analysis….Pages 159-179
Collective SME Approach to Technology Watch and Competitive Intelligence: The Role of Intermediate Centers….Pages 181-189
New Challenges and Roles of Metadata in Text/Data Mining in Statistics….Pages 191-199
Using Text Mining in Official Statistics….Pages 201-211
Combining Text Mining and Information Retrieval Techniques for Enhanced Access to Statistical Data on the Web: A Preliminary Report….Pages 213-222
Comparative Study of Text Mining Tools….Pages 223-232
Some Industrial Applications of Text Mining….Pages 233-238
Using Text Mining Tools for Event Data Analysis….Pages 239-253
Terminology Extraction: An Analysis of Linguistic and Statistical Approaches….Pages 255-279
Analysis of Biotechnology Patents….Pages 281-290
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