Knowledge Mining: Proceedings of the NEMIS 2004 Final Conference

by Spiros Sirmakessis (Editor)

Overview

Text mining is an exciting application field and an area of scientific - search that is currently under rapid development. It uses techniques from well-established scientific fields (e. g. data mining, machine learning, infor- tion retrieval, natural language processing, case-based reasoning, statistics and knowledge management) in an effort to help people gain insight, und- stand and interpret large quantities of (usually) semi-structured and unstr- tured data. Despite the advances made during the last few years, many issues remain unresolved. Proper co-ordination activities, dissemination of current trends and standardisation of the procedures have been identified, as key needs. There are many questions still unanswered, especially to the potential users; what is the scope of Text Mining, who uses it and for what purpose, what constitutes the leading trends in the field of Text Mining – especially in relation to IT – and whether there still remain areas to be covered. 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 - search results and findings. The results of knowledge mining 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 p- sentation of “best” scientific evidence, facilitate research portfolio mana- ment, as well as, facilitate policy setting and decision making.

Product Details

ISBN-13:	9783540250708
Publisher:	Springer Berlin Heidelberg
Publication date:	12/01/2005
Series:	Studies in Fuzziness and Soft Computing , #185
Edition description:	2005
Pages:	290
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

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.