Text Mining and Visualization

Case Studies Using Open-Source Tools

Markus Hofmann, Andrew Chisholm (Herausgeber)

Buch | Softcover

348 Seiten

2020
Chapman & Hall/CRC (Verlag)
978-0-367-57520-5 (ISBN)

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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.

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.

RapidMiner. KNIME. Python. R.

Erscheinungsdatum	01.07.2020
Reihe/Serie	Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Sprache	englisch
Maße	178 x 254 mm
Gewicht	640 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Mathematik / Informatik ► Mathematik
	Technik ► Elektrotechnik / Energietechnik
ISBN-10	0-367-57520-5 / 0367575205
ISBN-13	978-0-367-57520-5 / 9780367575205
Zustand	Neuware