Text Mining and Visualization: Case Studies Using Open-Source Tools, 1st Edition (e-Book) book cover

Text Mining and Visualization

Case Studies Using Open-Source Tools, 1st Edition

Edited by Markus Hofmann, Andrew Chisholm

Chapman and Hall/CRC

337 pages

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Hardback: 9781482237573
pub: 2015-12-18
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eBook (VitalSource) : 9780429161971
pub: 2016-01-05
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Text Mining and Visualization: Case Studies Using Open-Source Tools 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-all highly experienced with text mining and open-source software-explain how text data are gathered and processed from a w

Table of Contents

RapidMiner. KNIME. Python. R.

About the Editors

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.

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Programming / Games
COMPUTERS / Database Management / Data Mining
COMPUTERS / Machine Theory