Synopsis
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.
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Knowledge Mining
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Springer Berlin Heidelberg Nov 2014, 2014
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 308 pp. Englisch. N° de réf. du vendeur 9783642425394
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Outcome of the 3rd International Workshop on Text Mining and its Applications held in Athens, GreeceRecent results in knowledge miningText mining is an exciting application ?eld and an area of scienti?c - search that is currently under rap. N° de réf. du vendeur 11800762
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Knowledge Mining
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch. N° de réf. du vendeur 9783642425394
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Springer Berlin Heidelberg, 2014
ISBN 10 : 3642425399
ISBN 13 : 9783642425394
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783642425394
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