Inhaltsangabe
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.
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Über die Autorin bzw. den Autor
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.
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Text Mining to Support Business Intelligence
Verlag:
LAP LAMBERT Academic Publishing Sep 2010, 2010
ISBN 10: 3838397282
ISBN 13: 9783838397283
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783838397283
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Text Mining to Support Business Intelligence
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Zustand: 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 . Bestandsnummer des Verkäufers 5419945
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Text Mining to Support Business Intelligence | Analysing Business Data
Verlag:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838397282
ISBN 13: 9783838397283
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 107322657
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Text Mining to Support Business Intelligence
Verlag:
LAP LAMBERT Academic Publishing Sep 2010, 2010
ISBN 10: 3838397282
ISBN 13: 9783838397283
Neu
Taschenbuch
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783838397283
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Text Mining to Support Business Intelligence : Analysing Business Data
Verlag:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838397282
ISBN 13: 9783838397283
Neu
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783838397283
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Text Mining to Support Business Intelligence: Analysing Business Data
Verlag:
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