Hopp til hovedinnholdet
Text Mining and Visualization
Redigert av Andrew Chisholm, Markus Hofmann, 2020.Del av serien Chapman & Hall/CRC Data Mining and Knowledge Discovery Series.
Case Studies Using Open-Source Tools
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.
Språk: Engelsk
669,-
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 10 dager
Text Mining and Visualization
Redigert av Andrew Chisholm, Markus Hofmann, 2020.Del av serien Chapman & Hall/CRC Data Mining and Knowledge Discovery Series.
Case Studies Using Open-Source Tools
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.
669,-
Språk: Engelsk
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 10 dager
669,-
Ved å fullføre kjøpet aksepterer du kjøpsvilkårene.
