RapidMiner: Data Mining Use Cases and Business Analytics Applications

Author:   Markus Hofmann ,  Ralf Klinkenberg
Publisher:   Taylor & Francis Inc
Volume:   33
ISBN:  

9781482205497


Pages:   528
Publication Date:   25 October 2013
Replaced By:   9781138197008
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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RapidMiner: Data Mining Use Cases and Business Analytics Applications


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Author:   Markus Hofmann ,  Ralf Klinkenberg
Publisher:   Taylor & Francis Inc
Imprint:   Chapman & Hall/CRC
Volume:   33
Dimensions:   Width: 17.80cm , Height: 3.30cm , Length: 25.40cm
Weight:   1.420kg
ISBN:  

9781482205497


ISBN 10:   1482205491
Pages:   528
Publication Date:   25 October 2013
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Professional & Vocational
Replaced By:   9781138197008
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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In this book, case studies communicate how to analyze databases, text collections, and image data. ... How the given data are transformed to meet the requirements of the method is illustrated by screenshots of RapidMiner. The RapidMiner processes and datasets described in the case studies are published on the companion web page of this book. The inspiring applications may be used as a blueprint and a justification of future applications. -From the Foreword by Professor Dr. Katharina Morik, Technical University of Dortmund


Author Information

Markus Hofmann is a lecturer at the Institute of Technology Blanchardstown, where he focuses on data mining, text mining, data exploration and visualization, and business intelligence. Dr. Hofmann is a member of the Register of Expert Panellists of the Irish Higher Education and Training Awards council, an external examiner to two other third-level institutes, and a specialist in undergraduate and postgraduate course development. He received his PhD from Trinity College Dublin. Ralf Klinkenberg is the co-founder of Rapid-I and CBDO of Rapid-I Germany. Rapid-I is the company behind the open source software solution RapidMiner and its server version RapidAnalytics. Mr. Klinkenberg has more than 15 years of consulting and training experience in data mining and RapidMiner-based solutions. He received his MS in computer science from the Technical University of Dortmund and Missouri University of Science and Technology.

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