Working Paper |
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Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies |
0 |
0 |
1 |
161 |
1 |
1 |
2 |
520 |
An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction |
0 |
0 |
0 |
193 |
0 |
0 |
6 |
692 |
An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
31 |
An extended Huff-model for robustly benchmarking and predicting retail network performance |
0 |
2 |
3 |
54 |
0 |
3 |
9 |
212 |
Analyzing existing customers’ websites to improve the customer acquisition process as well as the profitability prediction in B-to-B marketing |
0 |
0 |
5 |
158 |
0 |
0 |
8 |
672 |
Assessing and exploiting the profit function by modeling the net impact of targeted marketing |
0 |
0 |
0 |
316 |
0 |
0 |
0 |
1,056 |
Banking behaviour after the lifecycle event of “moving in together”: An exploratory study of the role of marketing investments |
0 |
0 |
0 |
188 |
0 |
0 |
0 |
720 |
Bayesian Kernel-Based Classification for Financial Distress Detection |
0 |
0 |
0 |
323 |
0 |
0 |
2 |
798 |
Bayesian Network Classifiers for Identifying the Slope of the Customer - Lifecycle of Long-Life Customers |
0 |
1 |
3 |
1,133 |
0 |
2 |
16 |
4,386 |
Benefits of Quantile Regression for the Analysis of Customer Lifetime Value in a Contractual Setting: An Application in Financial Services |
0 |
3 |
8 |
567 |
1 |
8 |
16 |
1,466 |
Binary quantile regression: A Bayesian approach based on the asymmetric Laplace density |
0 |
0 |
11 |
476 |
1 |
4 |
46 |
1,587 |
CRM at a Pay-TV Company: Using Analytical Models to Reduce Customer Attrition by Targeted Marketing for Subscription Services |
2 |
2 |
18 |
3,229 |
5 |
25 |
131 |
10,825 |
Cash Demand Forecasting in ATMs by Clustering and Neural Networks |
0 |
2 |
6 |
238 |
0 |
2 |
30 |
953 |
Churn Prediction in Subscription Services: an Application of Support Vector Machines While Comparing Two Parameter-Selection Techniques |
0 |
2 |
15 |
898 |
1 |
6 |
38 |
2,417 |
Churn prediction in subscription services: an application of support vector machines while comparing two parameter-selection techniques |
0 |
0 |
0 |
0 |
0 |
0 |
6 |
32 |
Constrained optimization of data-mining problems to improve model performance: A direct-marketing application |
0 |
0 |
4 |
818 |
0 |
0 |
10 |
3,111 |
Customer Attrition Analysis For Financial Services Using Proportional Hazard Models |
0 |
4 |
11 |
3,628 |
0 |
8 |
25 |
9,302 |
Customer Base Analysis: Partial Defection of Behaviorally-Loyal Clients in a Non-Contractual FMCG Retail Setting |
0 |
0 |
4 |
1,705 |
3 |
3 |
19 |
5,036 |
Customer-Adapted Coupon Targeting Using Feature Selection |
0 |
1 |
1 |
240 |
0 |
1 |
2 |
820 |
Data Augmentation by Predicting Spending Pleasure Using Commercially Available External Data |
0 |
0 |
0 |
287 |
0 |
0 |
2 |
768 |
Deep Habits in Consumption: A Spatial Panel Analysis Using Scanner Data |
0 |
0 |
1 |
50 |
0 |
0 |
1 |
139 |
Direct and Indirect Effects of Retail Promotions |
0 |
0 |
11 |
775 |
1 |
1 |
24 |
3,101 |
Does Attitudinal Commitment to Stores Always Lead to Behavioral Loyalty? The Moderating Effect of Age |
0 |
0 |
2 |
412 |
0 |
0 |
3 |
1,424 |
Dynamic cross-sales effects of price promotions: Empirical generalizations |
0 |
0 |
0 |
298 |
0 |
0 |
1 |
1,160 |
Empathy as Added Value in Predicting Donation Behavior |
0 |
1 |
1 |
116 |
0 |
1 |
2 |
413 |
Enhanced Decision Support in Credit Scoring Using Bayesian Binary Quantile Regression |
0 |
0 |
0 |
157 |
0 |
0 |
0 |
301 |
Ensemble classification based on generalized additive models |
0 |
0 |
0 |
122 |
0 |
1 |
15 |
609 |
Ensemble classification based on generalized additive models |
0 |
0 |
0 |
22 |
0 |
0 |
0 |
198 |
Ensemble classification based on generalized additive models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
15 |
Ensembles of probability estimation trees for Customer churn prediction |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
8 |
Enterprise architecture management for small and medium sized enterprises: a case study and tool support |
0 |
2 |
6 |
263 |
0 |
2 |
10 |
647 |
Evaluating the Added Value of Pictorial Data for Customer Churn Prediction |
0 |
0 |
0 |
26 |
0 |
0 |
0 |
115 |
Exploiting Randomness for Feature Selection in Multinomial Logit: a CRM Cross-Sell Application |
0 |
0 |
1 |
264 |
0 |
0 |
3 |
642 |
Handling class imbalance in customer churn prediction |
0 |
0 |
2 |
437 |
1 |
3 |
13 |
1,145 |
IMPROVING CUSTOMER RETENTION IN FINANCIAL SERVICES USING KINSHIP NETWORK INFORMATION |
0 |
0 |
0 |
73 |
1 |
1 |
2 |
260 |
Implicit Contracts and Price Stickiness: Evidence from Customer-Level Scanner Data |
0 |
0 |
0 |
28 |
0 |
0 |
2 |
155 |
Improved Marketing Decision Making in a Customer Churn Prediction Context Using Generalized Additive Models |
1 |
2 |
4 |
169 |
1 |
5 |
10 |
459 |
Improved Marketing Decision Making in a Customer Churn Prediction Context Using Generalized Additive Models |
0 |
0 |
0 |
46 |
0 |
1 |
2 |
238 |
Improved Multilevel Security with Latent Semantic Indexing |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
82 |
Improved marketing decision making in a customer churn prediction context using generalized additive models |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
20 |
Improving Customer Acquisition Models by Incorporating Spatial Autocorrelation at Different Levels of Granularity |
0 |
0 |
0 |
43 |
0 |
0 |
0 |
106 |
Improving Customer Attrition Prediction by Integrating Emotions from Client/Company Interaction Emails and Evaluating Multiple Classifiers |
0 |
1 |
8 |
242 |
2 |
8 |
30 |
719 |
Improving Customer Complaint Management by Automatic Email Classification Using Linguistic Style Features as Predictors |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
19 |
Improving Customer Complaint Management by Automatic Email Classification Using Linguistic Style Features as Predictors |
0 |
1 |
5 |
1,082 |
2 |
4 |
19 |
3,716 |
Improving campaign success rate by tailoring donation requests along the donor lifecycle |
0 |
1 |
1 |
164 |
1 |
2 |
5 |
436 |
Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
19 |
Improving purchasing behavior predictions by data augmentation with situational variables |
0 |
0 |
0 |
102 |
0 |
1 |
4 |
527 |
Including Spatial Interdependence in Customer Acquisition Models: a Cross-Category Comparison |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
84 |
Incorporating sequential information into traditional classification models by using an element/position- sensitive SAM |
0 |
0 |
3 |
801 |
2 |
3 |
21 |
3,663 |
Integrating the Voice of Customers through Call Center Emails into a Decision Support System for Churn Prediction |
0 |
0 |
3 |
1,186 |
1 |
2 |
19 |
2,982 |
Integrating the voice of customers through call center emails into a decision support system for churn prediction |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
19 |
Investigating Purchasing Patterns for Financial Services using Markov, MTD and MTDg Models |
0 |
1 |
1 |
665 |
0 |
2 |
2 |
2,349 |
Investigating the post-complaint period by means of survival analysis |
0 |
0 |
0 |
133 |
0 |
0 |
1 |
427 |
Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling: The case of financial services |
0 |
0 |
7 |
637 |
2 |
2 |
11 |
1,398 |
Joint Optimization of Customer Segmentation and Marketing Policy to Maximize Long-Term Profitability |
0 |
0 |
5 |
2,487 |
0 |
2 |
10 |
11,254 |
Joint optimization of customer segmentation and marketing policy to maximize long-term profitability |
0 |
0 |
2 |
67 |
0 |
0 |
2 |
203 |
Kernel Factory: An Ensemble of Kernel Machines |
0 |
0 |
0 |
109 |
0 |
0 |
4 |
446 |
Mining Ideas from Textual Information |
0 |
0 |
0 |
210 |
2 |
4 |
6 |
668 |
Model-supported business-to-business prospect prediction based on an iterative customer acquisition framework |
0 |
6 |
16 |
126 |
2 |
10 |
29 |
324 |
Modeling Partial Customer Churn: On the Value of First Product-Category Purchase Sequences |
0 |
0 |
2 |
133 |
0 |
1 |
9 |
488 |
Modeling complex longitudinal consumer behavior with Dynamic Bayesian Networks: An Acquisition Pattern Analysis application |
0 |
0 |
0 |
305 |
0 |
0 |
0 |
878 |
Neural Network Survival Analysis for Personal Loan Data |
0 |
1 |
7 |
600 |
0 |
2 |
11 |
1,575 |
Predicting Customer Loyalty Using The Internal Transactional Database |
0 |
0 |
9 |
2,342 |
0 |
1 |
21 |
6,523 |
Predicting Customer Profitability During Acquisition: Finding the Optimal Combination of Data Source and Data Mining Technique |
0 |
0 |
4 |
131 |
0 |
0 |
7 |
353 |
Predicting Customer Retention and Profitability by Using Random Forests and Regression Forests Techniques |
1 |
2 |
6 |
1,392 |
3 |
5 |
12 |
4,240 |
Predicting Mail-Order Repeat Buying: Which Variables Matter? |
1 |
1 |
4 |
997 |
1 |
2 |
9 |
4,017 |
Predicting Online Purchasing Behavior |
0 |
2 |
10 |
2,410 |
2 |
13 |
35 |
7,064 |
Predicting Partial Customer Churn Using Markov for Discrimination for Modeling First Purchase Sequences |
0 |
1 |
5 |
165 |
0 |
1 |
25 |
654 |
Predicting home-appliance acquisition sequences: Markov/Markov for Discrimination and survival analysis for modeling sequential information in NPTB models |
0 |
0 |
2 |
475 |
1 |
1 |
13 |
1,945 |
Predicting web site audience demographics for web advertising targeting using multi-web site clickstream data |
0 |
1 |
1 |
445 |
1 |
4 |
7 |
1,467 |
Predicting website audience demographics for web advertising targeting using multi website clickstream data |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
37 |
Price Rigidity in Europe and the US: A Comparative Analysis Using Scanner Data |
0 |
0 |
0 |
23 |
0 |
0 |
2 |
221 |
Price rigidity in Europe and the US: A comparative analysis using scanner data |
0 |
0 |
0 |
56 |
0 |
0 |
3 |
201 |
Protecting Research and Technology from Espionage |
0 |
0 |
0 |
57 |
0 |
0 |
3 |
194 |
Quantitative Cross Impact Analysis with Latent Semantic Indexing |
0 |
0 |
0 |
17 |
0 |
0 |
4 |
91 |
Random Forrests for Multiclass classification: Random Multinomial Logit |
0 |
0 |
4 |
839 |
0 |
1 |
11 |
2,006 |
Random Multiclass Classification: Generalizing Random Forests to Random MNL and Random NB |
0 |
1 |
2 |
420 |
0 |
1 |
5 |
1,105 |
Reconciling Performance and Interpretability in Customer Churn Prediction using Ensemble Learning based on Generalized Additive Models |
0 |
0 |
2 |
96 |
0 |
0 |
5 |
279 |
Reconciling performance and interpretability in customer churn prediction modeling using ensemble learning based on generalized additive models |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
28 |
Semantic Compared Cross Impact Analysis |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
65 |
Separating Financial From Commercial Customer Churn: A Modeling Step Towards Resolving The Conflict Between The Sales And Credit Department |
0 |
0 |
2 |
480 |
2 |
2 |
10 |
2,043 |
Technology Classification with Latent Semantic Indexing |
0 |
0 |
0 |
50 |
0 |
0 |
1 |
144 |
The Impact of Sample Bias on Consumer Credit Scoring Performance and Profitability |
0 |
0 |
1 |
396 |
1 |
1 |
3 |
993 |
The Kinked Demand Curve and Price Rigidity: Evidence from Scanner Data |
0 |
0 |
1 |
222 |
0 |
0 |
7 |
1,754 |
The Relevant Length of Customer Event History for Churn Prediction: How long is long enough? |
0 |
0 |
0 |
117 |
0 |
0 |
2 |
347 |
The Role of Marketer-Generated Content in Customer Engagement Marketing |
0 |
0 |
0 |
2 |
2 |
3 |
19 |
139 |
The Role of Seed Money and Threshold Size in Optimizing Fundraising Campaigns: Past Behavior Matters! |
0 |
0 |
2 |
66 |
0 |
0 |
4 |
182 |
The kinked demand curve and price rigidity: evidence from scanner data |
0 |
1 |
2 |
337 |
0 |
2 |
8 |
3,225 |
Using Predicted Outcome Stratified Sampling to Reduce the Variability in Predictive Performance of a One-Shot Train-and-Test Split for Individual Customer Predictions |
0 |
1 |
1 |
101 |
0 |
1 |
1 |
486 |
Weak Signal Identification with Semantic Web Mining |
0 |
0 |
2 |
57 |
0 |
0 |
3 |
173 |
Why promotion strategies based on market basket analysis do not work |
0 |
0 |
6 |
2,179 |
1 |
2 |
17 |
8,214 |
Total Working Papers |
5 |
43 |
244 |
40,882 |
44 |
162 |
884 |
137,025 |