000 02922nam a22004695i 4500
001 978-3-642-27714-6
003 DE-He213
005 20140220083309.0
007 cr nn 008mamaa
008 120306s2012 gw | s |||| 0|eng d
020 _a9783642277146
_9978-3-642-27714-6
024 7 _a10.1007/978-3-642-27714-6
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aZiegler, Cai-Nicolas.
_eauthor.
245 1 0 _aMining for Strategic Competitive Intelligence
_h[electronic resource] :
_bFoundations and Applications /
_cby Cai-Nicolas Ziegler.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _aXVIII, 206p. 68 illus., 8 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v406
505 0 _aIntroduction -- Research Foundations -- Competitive Intelligence Capturing Systems -- Research Topics and Applications -- Conclusion.
520 _aThe 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.
650 0 _aEngineering.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aData Mining and Knowledge Discovery.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642277139
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v406
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-27714-6
912 _aZDB-2-ENG
999 _c102662
_d102662