Overview
- Recent research in Web Mining for Strategic Competitive Intelligence
- Application of research results to real-world problems
- Written by a leading expert in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 406)
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Table of contents (11 chapters)
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Front Matter
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Foundations and Use Cases
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Front Matter
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Back Matter
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Selected Publications
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Front Matter
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Keywords
About this book
The textbook at hand aims to provide an introduction to the use of automated methods for gathering strategic competitive intelligence. Hereby, the text does not describe a singleton research discipline in its own right, such as machine learning or Web mining. It rather contemplates an application scenario, namely the gathering of knowledge that appears of paramount importance to organizations, e.g., companies and corporations.
To this end, the book first summarizes the range of research disciplines that contribute to addressing the issue, extracting from each those grains that are of utmost relevance to the depicted application scope. Moreover, the book presents systems that put these techniques to practical use (e.g., reputation monitoring platforms) and takes an inductive approach to define the gestalt of mining for competitive strategic intelligence by selecting major use cases that are laid out and explained in detail. These pieces form the first part of the book.
Each of those use cases is backed by a number of research papers, some of which are contained in its largely original version in the second part of the monograph.
Authors and Affiliations
Bibliographic Information
Book Title: Mining for Strategic Competitive Intelligence
Book Subtitle: Foundations and Applications
Authors: Cai-Nicolas Ziegler
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-27714-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-27713-9Published: 14 March 2012
Softcover ISBN: 978-3-642-44871-3Published: 16 April 2014
eBook ISBN: 978-3-642-27714-6Published: 06 March 2012
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVIII, 206
Topics: Computational Intelligence, Artificial Intelligence, Data Mining and Knowledge Discovery