The textbook at hand aims to provide an introduction to the use
of automated methods for gathering strategic
competitiveintelligence. 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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