ISBN: 9783838397283 - text mining to support business intelligence: analysing business data (6 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2010

    3838397282 / 9783838397283

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    EUR 66,50

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    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: 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.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2010

    3838397282 / 9783838397283

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    Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

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    Condición: Usado - Como Nuevo

    EUR 177,98

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    Cantidad disponible: 1 disponible

    Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Sep 2010, 2010

    3838397282 / 9783838397283

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Condición: Nuevo

    EUR 79,00

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    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: 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.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2010

    3838397282 / 9783838397283

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    Librería: moluna, Greven, Alemaniamoluna

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    EUR 63,42

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    Condición: 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 .…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2010

    3838397282 / 9783838397283

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 86,42

    Envío por EUR 35,00 
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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: 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.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Sep 2010, 2010

    3838397282 / 9783838397283

    • Tapa blanda
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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 79,00

    Envío por EUR 60,00 
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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: 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.…