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    1. Data och IT
    2. Databaser

    Text Mining and Visualization

    Case Studies Using Open-Source Tools

    AvMarkus Hofmann,Andrew Chisholm

    Inbunden, Engelska, 2015

    Del i serien Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

    1 507 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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.

    Produktinformation

    • Utgivningsdatum:2015-12-18
    • Mått:178 x 254 x 24 mm
    • Vikt:816 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
    • Antal sidor:348
    • Förlag:Taylor & Francis Inc
    • ISBN:9781482237573

    Utforska kategorier

    • Databaser inom Data och IT

    Mer om författaren

    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.

    Recensioner i media

    "The timing of this book could not be better. It focuses on text mining, text being one of the data sources still to be truly harvested, and on open-source tools for the analysis and visualization of textual data. … Markus and Andrew have done an outstanding job bringing together this volume of both introductory and advanced material about text mining using modern open-source technology in a highly accessible way."—From the Foreword by Professor Dr. Michael Berthold, University of Konstanz, Germany

    Innehållsförteckning

    • RapidMiner. KNIME. Python. R.
    Hoppa över listan

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