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In most companies and organisations valuable time and effort is wasted in ineffective searches through multiple information sources including web sites and other conventional sources. This problem of information overload is further exacerbated due to the unstructured format of the majority of the data. Text Mining (TM) is the emerging science and industry of applying data mining (DM), machine learning (ML), natural language processing (NLP) and information extraction (IE) to the problem of finding useful patterns hidden within large textual databases. This book offers understanding of best practices and solutions, regarding the text mining process and its operations. It provides a unified database oriented temporal text mining framework, the DocumentMiner. DocumentMiner targets the complexity that is associated with the process of text mining by providing support for the effective analysis, management and co-ordination of the information gathered throughout the stages into a single, consistent, manageable database. This book is for everyone who wants to begin learning Text Mining to support Business Intelligence tasks or learn beyond the fundamentals.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
is currently a researcher at the University of Athens, Greece. He holds a BSc in Physics from the Aristotle University of Thessalonica, Greece, MSc in Computer Science and PhD in the field of Temporal Text Mining from the University of Manchester. He is actively involved in TM as a focal research area.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Text Mining to Support Business Intelligence
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LAP LAMBERT Academic Publishing Sep 2010, 2010
ISBN 10: 3838397282
ISBN 13: 9783838397283
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In most companies and organisations valuable time and effort is wasted in ineffective searches through multiple information sources including web sites and other conventional sources. This problem of information overload is further exacerbated due to the unstructured format of the majority of the data. Text Mining (TM) is the emerging science and industry of applying data mining (DM), machine learning (ML), natural language processing (NLP) and information extraction (IE) to the problem of finding useful patterns hidden within large textual databases. This book offers understanding of best practices and solutions, regarding the text mining process and its operations. It provides a unified database oriented temporal text mining framework, the DocumentMiner. DocumentMiner targets the complexity that is associated with the process of text mining by providing support for the effective analysis, management and co-ordination of the information gathered throughout the stages into a single, consistent, manageable database. This book is for everyone who wants to begin learning Text Mining to support Business Intelligence tasks or learn beyond the fundamentals. 220 pp. Englisch. Codice articolo 9783838397283
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Text Mining to Support Business Intelligence
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Karanikas Haralamposis currently a researcher at the University of Athens, Greece. He holds a BSc in Physics from the Aristotle University of Thessalonica, Greece, MSc in Computer Science and PhD in the field of Temporal Text Mining . Codice articolo 5419945
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Text Mining to Support Business Intelligence : Analysing Business Data
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838397282
ISBN 13: 9783838397283
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In most companies and organisations valuable time and effort is wasted in ineffective searches through multiple information sources including web sites and other conventional sources. This problem of information overload is further exacerbated due to the unstructured format of the majority of the data. Text Mining (TM) is the emerging science and industry of applying data mining (DM), machine learning (ML), natural language processing (NLP) and information extraction (IE) to the problem of finding useful patterns hidden within large textual databases. This book offers understanding of best practices and solutions, regarding the text mining process and its operations. It provides a unified database oriented temporal text mining framework, the DocumentMiner. DocumentMiner targets the complexity that is associated with the process of text mining by providing support for the effective analysis, management and co-ordination of the information gathered throughout the stages into a single, consistent, manageable database. This book is for everyone who wants to begin learning Text Mining to support Business Intelligence tasks or learn beyond the fundamentals. Codice articolo 9783838397283
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Text Mining to Support Business Intelligence | Analysing Business Data
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838397282
ISBN 13: 9783838397283
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Taschenbuch. Condizione: Neu. Text Mining to Support Business Intelligence | Analysing Business Data | Haralampos Karanikas | Taschenbuch | 220 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838397283 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 107322657
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Text Mining to Support Business Intelligence
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LAP LAMBERT Academic Publishing Sep 2010, 2010
ISBN 10: 3838397282
ISBN 13: 9783838397283
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In most companies and organisations valuable time and effort is wasted in ineffective searches through multiple information sources including web sites and other conventional sources. This problem of information overload is further exacerbated due to the unstructured format of the majority of the data. Text Mining (TM) is the emerging science and industry of applying data mining (DM), machine learning (ML), natural language processing (NLP) and information extraction (IE) to the problem of finding useful patterns hidden within large textual databases. This book offers understanding of best practices and solutions, regarding the text mining process and its operations. It provides a unified database oriented temporal text mining framework, the DocumentMiner. DocumentMiner targets the complexity that is associated with the process of text mining by providing support for the effective analysis, management and co-ordination of the information gathered throughout the stages into a single, consistent, manageable database. This book is for everyone who wants to begin learning Text Mining to support Business Intelligence tasks or learn beyond the fundamentals.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 220 pp. Englisch. Codice articolo 9783838397283
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Text Mining to Support Business Intelligence: Analysing Business Data
Editore:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838397282
ISBN 13: 9783838397283
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA79038383972826
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