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Mining for strategic competitive intelligence foundations and applications /
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 sc...
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| Main Author: | |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
©2012.
Berlin ; New York : [2012] |
| Series: | Studies in computational intelligence ;
v. 406. |
| Physical Description: |
1 online resource (xvii, 206 pages). |
| Subjects: | |
| Online Access: | SpringerLink - Click here for access |
MARC
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| 100 | 1 | |a Ziegler, Cai-Nicolas. |0 https://id.loc.gov/authorities/names/nb2012011530. | |
| 245 | 1 | 0 | |a Mining for strategic competitive intelligence : |b foundations and applications / |c Cai-Nicolas Ziegler. |
| 260 | |a Berlin ; |a New York : |b Springer, |c ©2012. | ||
| 264 | 1 | |a Berlin ; |a New York : |b Springer, |c [2012] | |
| 264 | 4 | |c ©2012. | |
| 300 | |a 1 online resource (xvii, 206 pages). | ||
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| 490 | 1 | |a Studies in computational intelligence, |x 1860-949X ; |v v. 406. | |
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | 0 | |t Introduction / |r Cai-Nicolas Ziegler -- |t Research Foundations / |r Cai-Nicolas Ziegler -- |t Competitive Intelligence Capturing Systems / |r Cai-Nicolas Ziegler -- |t Research Topics and Applications / |r Cai-Nicolas Ziegler -- |t Conclusion / |r Cai-Nicolas Ziegler -- |t Towards Automated Reputation and Brand Monitoring on the Web / |r Cai-Nicolas Ziegler and Michal Skubacz -- |t Mining and Exploring Customer Feedback Using Language Models and Treemaps / |r Cai-Nicolas Ziegler, Michal Skubacz and Maximilian Viermetz -- |t Content Extraction from News Pages Using Particle Swarm Optimization / |r Cai-Nicolas Ziegler and Michal Skubacz -- |t Distilling Informative Content from HTML News Pages Using Machine Learning Classifiers / |r Cai-Nicolas Ziegler, Christian Vögele and Maximilian Viermetz -- |t Automatic Computation of Semantic Proximity Using Taxonomic Knowledge / |r Cai-Nicolas Ziegler, Kai Simon and Georg Lausen -- |t Leveraging Sources of Collective Wisdom on the Web for Discovering Technology Synergies / |r Cai-Nicolas Ziegler and Stefan Jung. |
| 520 | |a 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. | ||
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| 650 | 2 | |a Data Mining. |0 https://id.nlm.nih.gov/mesh/D057225. | |
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