Data Mining Methods for the Content Analyst: An Introduction to the Computational Analysis of Content (Routledge Communication Series)

Leetaru, Kalev

ISBN 10: 0415895146 ISBN 13: 9780415895149

Editorial: Routledge, 2012

Idioma: Ingl�s

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Detalles bibliogr�ficos

T�tulo

Data Mining Methods for the Content Analyst: An Introduction to the Computational Analysis of Content (Routledge Communication Series)

Editor

Routledge

Fecha de publicaci�n

2012

Idioma

Ingl�s

ISBN 10

0415895146

ISBN 13

9780415895149

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

New

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Sinopsis

With continuous advancements and an increase in user popularity, data mining technologies serve as an invaluable resource for researchers across a wide range of disciplines in the humanities and social sciences. In this comprehensive guide, author and research scientist Kalev Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for new and experienced users alike.

Designed as an instructive reference to computer-based analysis approaches, each chapter of this resource explains a set of core concepts and analytical data mining strategies, along with detailed examples and steps relating to current data mining practices. Every technique is considered with regard to context, theory of operation and methodological concerns, and focuses on the capabilities and strengths relating to these technologies. In addressing critical methodologies and approaches to automated analytical techniques, this work provides an essential overview to a broad innovative field.

Acerca del autor

Kalev Leetaru is Senior Research Scientist for Content Analysis at the University of Illinois Institute for Computing in Humanities, Arts, and Social Science and Center Affiliate of the National Center for Supercomputing Applications. He leads a number of large initiatives centering on the application of high performance computing to grand challenge problems using massive-scale document and data archives.

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