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Text Mining and Visualization
Case Studies Using Open-Source Tools
Buch von Markus Hofmann (u. a.)
Sprache: Englisch

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Beschreibung

This book provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors explain how text data are gathered and processed from a wide variety of sources, including books, server access logs, websites, social media sites, and message boards. Each chapter presents a case study that readers can follow as part of a step-by-step, reproducible example. The examples used are available on a supplementary website.

This book provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors explain how text data are gathered and processed from a wide variety of sources, including books, server access logs, websites, social media sites, and message boards. Each chapter presents a case study that readers can follow as part of a step-by-step, reproducible example. The examples used are available on a supplementary website.

Über den Autor

Markus Hofmann is a lecturer at the Institute of Technology Blanchardstown, where he focuses on the areas of data mining, text mining, data exploration and visualization, and business intelligence. Dr. Hofmann has also worked as a technology expert with 20 different organizations, such as Intel. He earned a PhD from Trinity College Dublin, an MSc in computing from the Dublin Institute of Technology, and a BA in information management systems.

Andrew Chisholm is a certified RapidMiner Master who created both basic and advanced RapidMiner video training content for [...]. He has worked as a software developer, systems integrator, project manager, solution architect, customer-facing presales consultant, and strategic consultant. He earned an MSc in business intelligence and data mining from the Institute of Technology Blanchardstown and an MA in physics from Oxford University.

Inhaltsverzeichnis

RapidMiner. KNIME. Python. R.

Details
Erscheinungsjahr: 2015
Fachbereich: Allgemeines
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Buch
ISBN-13: 9781482237573
ISBN-10: 1482237571
Sprache: Englisch
Einband: Gebunden
Redaktion: Hofmann, Markus
Chisholm, Andrew
Hersteller: Chapman and Hall/CRC
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 260 x 183 x 23 mm
Von/Mit: Markus Hofmann (u. a.)
Erscheinungsdatum: 18.12.2015
Gewicht: 0,85 kg
Artikel-ID: 121065663
Über den Autor

Markus Hofmann is a lecturer at the Institute of Technology Blanchardstown, where he focuses on the areas of data mining, text mining, data exploration and visualization, and business intelligence. Dr. Hofmann has also worked as a technology expert with 20 different organizations, such as Intel. He earned a PhD from Trinity College Dublin, an MSc in computing from the Dublin Institute of Technology, and a BA in information management systems.

Andrew Chisholm is a certified RapidMiner Master who created both basic and advanced RapidMiner video training content for [...]. He has worked as a software developer, systems integrator, project manager, solution architect, customer-facing presales consultant, and strategic consultant. He earned an MSc in business intelligence and data mining from the Institute of Technology Blanchardstown and an MA in physics from Oxford University.

Inhaltsverzeichnis

RapidMiner. KNIME. Python. R.

Details
Erscheinungsjahr: 2015
Fachbereich: Allgemeines
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Buch
ISBN-13: 9781482237573
ISBN-10: 1482237571
Sprache: Englisch
Einband: Gebunden
Redaktion: Hofmann, Markus
Chisholm, Andrew
Hersteller: Chapman and Hall/CRC
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 260 x 183 x 23 mm
Von/Mit: Markus Hofmann (u. a.)
Erscheinungsdatum: 18.12.2015
Gewicht: 0,85 kg
Artikel-ID: 121065663
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