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Text Mining and Visualization
ISBN/GTIN

Text Mining and Visualization

Case Studies Using Open-Source Tools
BuchKartoniert, Paperback
Verkaufsrang183593inWirtschaft
CHF84.90

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 chap
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Details

ISBN/GTIN978-0-367-57520-5
ProduktartBuch
EinbandKartoniert, Paperback
VerlagCRC Press
Erscheinungsdatum30.06.2020
Seiten348 Seiten
SpracheEnglisch
MasseBreite 189 mm, Höhe 246 mm, Dicke 18 mm
Gewicht621 g
Artikel-Nr.42452602
KatalogBuchzentrum
Datenquelle-Nr.34210351
WarengruppeWirtschaft
Weitere Details

Über den/die AutorIn

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 RapidMinerResources.com. 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.