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~subject:"Web Mining"
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SVD
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POEL, D. VAN DEN
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THORLEUCHTER, D.
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PRINZIE, A.
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Faculteit Economie en Bedrijfskunde, Universiteit Gent
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Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium
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Analyzing existing customers’ websites to improve the customer acquisition process as well as the profitability prediction in B-to-B marketing
THORLEUCHTER, D.
;
POEL, D. VAN DEN
;
PRINZIE, A.
-
Faculteit Economie en Bedrijfskunde, Universiteit Gent
-
2011
We investigate the issue of predicting new customers as profitable based on information about existing customers in a business-to-business environment. In particular, we show how latent semantic concepts from textual information of existing customers’ websites can be used to uncover...
Persistent link: https://www.econbiz.de/10009392903
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Weak Signal Identification with Semantic Web Mining
THORLEUCHTER, D.
;
POEL, D. VAN DEN
-
Faculteit Economie en Bedrijfskunde, Universiteit Gent
-
2013
the largest number of relevant weak signals represented by singular value decomposition (
SVD
) dimensions. A case study …
Persistent link: https://www.econbiz.de/10011083143
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