Text mining and visualization : case studies using open-source tools /

Text Mining and Visualization: Case Studies Using Open-Source Tools 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-all highly experienced with text mining and open-source software-explain...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Hofmann, Markus (Computer scientist) (Editor ), Chisholm, Andrew (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : Chapman & Hall/CRC, 2016.
Edición:1st.
Colección:Chapman & Hall/CRC data mining and knowledge discovery series.
Temas:
Data mining.
Data Mining
Exploration de données (Informatique)
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Text Mining and Visualization: Case Studies Using Open-Source Tools 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-all highly experienced with text mining and open-source software-explain how text data are gathered and processed from a w.
Descripción Física:1 online resource : illustrations (black and white).
Bibliografía:Includes bibliographical references and index.
ISBN:9781482237580
148223758X

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