The text mining handbook : advanced approaches in analyzing unstructured data
R. Feldman, und J. Sanger. Cambridge University Press, Cambridge; New York, (2007)
Zusammenfassung
Text mining tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, this book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, it explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M & A business intelligence, genomics research and counter-terrorism activities.
Beschreibung
The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data: Amazon.de: Ronen Feldman, James Sanger: Fremdsprachige Bücher
%0 Book
%1 feldman2007mining
%A Feldman, Ronen
%A Sanger, James
%C Cambridge; New York
%D 2007
%I Cambridge University Press
%K mining text topoi
%T The text mining handbook : advanced approaches in analyzing unstructured data
%U http://www.amazon.de/The-Text-Mining-Handbook-Unstructured/dp/0521836573
%X Text mining tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, this book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, it explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M & A business intelligence, genomics research and counter-terrorism activities.
%@ 0521836573 9780521836579
@book{feldman2007mining,
abstract = {Text mining tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, this book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, it explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M & A business intelligence, genomics research and counter-terrorism activities.},
added-at = {2015-10-20T19:13:47.000+0200},
address = {Cambridge; New York},
author = {Feldman, Ronen and Sanger, James},
biburl = {https://www.bibsonomy.org/bibtex/2a11fc918886a0d2d3d08e7cfea0b2c66/stumme},
description = {The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data: Amazon.de: Ronen Feldman, James Sanger: Fremdsprachige Bücher},
interhash = {14cb9e63c6dca7830675c73578dcc30b},
intrahash = {a11fc918886a0d2d3d08e7cfea0b2c66},
isbn = {0521836573 9780521836579},
keywords = {mining text topoi},
publisher = {Cambridge University Press},
refid = {61881155},
timestamp = {2015-10-20T19:13:47.000+0200},
title = {The text mining handbook : advanced approaches in analyzing unstructured data},
url = {http://www.amazon.de/The-Text-Mining-Handbook-Unstructured/dp/0521836573},
year = 2007
}