Overview
- Editors:
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Spiros Sirmakessis
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Research Academic Computer Technology, Patras, Greece
- Outcome of the 3rd International Workshop on Text Mining and its Applications held in Athens, Greece
- Recent results in knowledge mining
- Includes supplementary material: sn.pub/extras
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Table of contents (21 papers)
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Front Matter
Pages I-VIII
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- Penelope Markellou, Maria Rigou, Spiros Sirmakessis
Pages 1-11
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- D. A. Bell, J. W. Guan, Y. X. Bi
Pages 13-22
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- Simona Balbi, Michelangelo Misuraca
Pages 23-29
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- Sergio Bolasco, Alessio Canzonetti, Federico M. Capo, Francesca della Ratta-Rinaldi, Bhupesh K. Singh
Pages 31-50
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- D. K. Tasoulis, M. N. Vrahatis
Pages 51-77
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- Furio Camillo, Melissa Tosi, Tiziana Traldi
Pages 79-92
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- Dimitrios Mavroeidis, George Tsatsaronis, Michalis Vazirgiannis
Pages 93-107
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- Federico Neri, Remo Raffaelli
Pages 123-131
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- Vangelis Karkaletsis, Constantine D. Spyropoulos
Pages 147-157
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- Mónica Bécue-Bertaut, Martin Rajman, Ludovic Lebart, Eric Gaussier
Pages 159-179
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- Jorge Izquierdo, Sergio Larreina
Pages 181-189
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- Alf Fyhrlund, Bert Fridlund, Bo Sundgren
Pages 201-211
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- Martin Rajman, Martin Vesely
Pages 213-222
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- Antoine Spinakis, Asanoula Chatzimakri
Pages 223-232
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About this book
Text mining is an exciting application ?eld and an area of scienti?c - search that is currently under rapid development. It uses techniques from well-established scienti?c ?elds (e. g. data mining, machine learning, infor- tion retrieval, natural language processing, case-based reasoning, statistics and knowledge management) in an e?ort 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 identi?ed, 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 ?eld 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 scienti?c research, knowledge mining is principally concerned with the quantitative synthesis and visualization of - search results and ?ndings. The results of knowledge mining are increased scienti?c 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” scienti?c evidence, facilitate research portfolio mana- ment, as well as, facilitate policy setting and decision making.
Editors and Affiliations
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Research Academic Computer Technology, Patras, Greece
Spiros Sirmakessis
