Text Mining and Visualization: Case Studies Using Open-Source Tools - Rilegato

Rilegato

ISBN 10: 1482237571 ISBN 13: 9781482237573

Casa editrice: Chapman and Hall/CRC, 2015

Riassunto

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.

Su questo libro

Informazioni sull?autore

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.

Dettagli dell?edizione

• Editore: Chapman and Hall/CRC
• Data di pubblicazione: 2015
• Lingua: Inglese
• ISBN 10: 1482237571
• ISBN 13: 9781482237573
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 348
• Redattore: Hofmann Markus, Chisholm Andrew
• Contatto del produttore: non disponibile