000 03141nam a22006015i 4500
001 978-3-319-05861-0
003 DE-He213
005 20200420211749.0
007 cr nn 008mamaa
008 140604s2014 gw | s |||| 0|eng d
020 _a9783319058610
_9978-3-319-05861-0
024 7 _a10.1007/978-3-319-05861-0
_2doi
050 4 _aHF54.5-54.56
072 7 _aKJQ
_2bicssc
072 7 _aUF
_2bicssc
072 7 _aBUS083000
_2bisacsh
072 7 _aCOM039000
_2bisacsh
082 0 4 _a650
_223
082 0 4 _a658.05
_223
100 1 _aKaufmann, Michael.
_eauthor.
245 1 0 _aInductive Fuzzy Classification in Marketing Analytics
_h[electronic resource] /
_cby Michael Kaufmann.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXX, 125 p. 35 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aFuzzy Management Methods,
_x2196-4130
505 0 _aA Gradual Concept of Truth -- Fuzziness and Induction -- Analytics and Marketing -- Prototyping and Evaluation -- Precisiating Fuzziness by Induction.
520 _aTo enhance marketing analytics, approximate and inductive reasoning can be applied to handle uncertainty in individual marketing models. This book demonstrates the use of fuzzy logic for classification and segmentation in marketing campaigns. Based on practical experience as a data analyst and on theoretical studies as a researcher, the author explains fuzzy classification, inductive logic, and the concept of likelihood, and introduces a blend of Bayesian and Fuzzy Set approaches, allowing reasonings on fuzzy sets that are derived by inductive logic. By application of this theory, the book guides the reader towards a gradual segmentation of customers which can enhance return on targeted marketing campaigns. The algorithms presented can be used for visualization, selection and prediction. The book shows how fuzzy logic can complement customer analytics by introducing fuzzy target groups. This book is for researchers, analytics professionals, data miners and students interested in fuzzy classification for marketing analytics.
650 0 _aBusiness.
650 0 _aMarketing.
650 0 _aInformation technology.
650 0 _aBusiness
_xData processing.
650 0 _aMathematical logic.
650 0 _aData mining.
650 0 _aE-commerce.
650 1 4 _aBusiness and Management.
650 2 4 _aIT in Business.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aMarketing.
650 2 4 _aMathematical Logic and Formal Languages.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _ae-Commerce/e-business.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319058603
830 0 _aFuzzy Management Methods,
_x2196-4130
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-05861-0
912 _aZDB-2-SBE
942 _cEBK
999 _c51180
_d51180