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یکشنبه 02 دی 1403
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71.
Predicting customer profitability during acquisition: Finding the optimal combination of data source and data mining technique
Source:
Expert Systems with Applications 40 (2013) 2007–2012
Authors:
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No of Pages:
6
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72.
Optimal selection of media vehicles using customer databases
Source:
Expert Systems with Applications 39 (2012) 13035–13045
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No of Pages:
11
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73.
More than words: Social networks’ text mining for consumer brand sentiments
Source:
Expert Systems with Applications 40 (2013) 4241–4251
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No of Pages:
11
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74.
Measuring the success of retention management models built on churn probability, retention probability, and expected yearly revenues
Source:
Expert Systems with Applications 39 (2012) 11718–11727
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No of Pages:
10
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75.
Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA
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Expert Systems with Applications 39 (2012) 99–106
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No of Pages:
8
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76.
Including spatial interdependence in customer acquisition models: A cross-category comparison
Source:
Expert Systems with Applications 39 (2012) 12105–12113
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No of Pages:
9
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77.
Improving customer retention in financial services using kinship network information
Source:
Expert Systems with Applications 39 (2012) 11435–11442
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No of Pages:
8
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78.
Improved response modeling based on clustering, under-sampling, and ensemble
Source:
Expert Systems with Applications 39 (2012) 6738–6753
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No of Pages:
16
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79.
Hybrid genetic algorithm and augmented neural network application for solving the online advertisement scheduling problem with contextual targeting
Source:
Expert Systems with Applications 39 (2012) 5168–5177
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No of Pages:
10
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80.
How to select search keywords for online advertising depending on consumer involvement: An empirical investigation
Source:
Expert Systems with Applications 39 (2012) 594–610
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17
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