Stefan Lessmann

发表

Toward profit-driven churn modeling with predictive marketing analytics

Bart Baesens, Thomas Verbraken, Stefan Lessmann, 2012, CloudCom 2012.

A reference model for customer-centric data mining with support vector machines

Stefan Lessmann, Stefan Voß, S. Voß, 2009, Eur. J. Oper. Res..

A Case Study of Core Vector Machines in Corporate Data Mining

Stefan Lessmann, Ning Li, Stefan Voß, 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

Twitter and the Political Landscape - a Graph Analysis of German Politicians

Benjamin Fabian, Stefan Lessmann, Annika Baumann, 2016, ECIS.

Topic modeling for analyzing open-ended survey responses

Stefan Lessmann, Andra-Selina Pietsch, S. Lessmann, 2018, Journal of Business Analytics.

An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Robust identification of email tracking: A machine learning approach pdf

Benedict Bender, Benjamin Fabian, Stefan Lessmann, 2018, Eur. J. Oper. Res..

Revenue Uplift Modeling

Stefan Lessmann, Annika Baumann, Johannes Haupt, 2017, ICIS.

To Phub or not to Phub: Understanding off-Task Smartphone Usage and its Consequences in the Academic Environment

Stefan Lessmann, Hanna Krasnova, Annika Baumann, 2017, ECIS.

A Case Study of Random Forest in Predictive Data Mining

Stefan Lessmann, Stefan Voß, Sebastian Schüller, 2009, Wirtschaftsinformatik.

Changing perspectives: Using graph metrics to predict purchase probabilities

Stefan Lessmann, Annika Baumann, Johannes Haupt, 2018, Expert Syst. Appl..

Can Deep Learning Predict Risky Retail Investors? A Case Study in Financial Risk Behavior Forecasting pdf

Stefan Lessmann, Yaodong Yang, Ming-Chien Sung, 2018, Eur. J. Oper. Res..

Antisocial Online Behavior Detection Using Deep Learning

Stefan Lessmann, Elizaveta Zinovyeva, Wolfgang K. Härdle, 2019, Decis. Support Syst..

Data-Driven Product returns Prediction: a Cloud-based Ensemble Selection Approach

Stefan Lessmann, Stefan Voß, Julien Hofer, 2016, ECIS.

Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis pdf

Stefan Lessmann, Arno De Caigny, Kristof Coussement, 2019, ArXiv.

Evaluating software defect prediction performance: an updated benchmarking study pdf

Bart Baesens, Stefan Lessmann, Libo Li, 2019, SSRN Electronic Journal.

Targeting customers for profit: An ensemble learning framework to support marketing decision-making

Stefan Lessmann, Kristof Coussement, Koen W. De Bock, 2019, Inf. Sci..

Genetically Constructed Kernels for Support Vector Machines

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2005, OR.

Improving crime count forecasts using Twitter and taxi data

Stefan Lessmann, Wolfgang K. Härdle, Lara Vomfell, 2018, Decis. Support Syst..

Genetic Algorithms for Support Vector Machine Model Selection

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Evolutionary Neural Classification Approaches for Strategic and Operational Decision Support in Retail Store Planning

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2005, IC-AI.

Forecasting with Computational Intelligence - An Evaluation of Support Vector Regression and Artificial Neural Networks for Time Series Prediction

Sven F. Crone, Stefan Lessmann, Swantje Pietsch, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach

Stefan Lessmann, Pankaj Dutta, Yogesh K. Dwivedi, 2019, Information Systems and e-Business Management.

Approaches for credit scorecard calibration: An empirical analysis

Stefan Lessmann, Kristof Coussement, Ross W. Gayler, 2017, Knowl. Based Syst..

Supervised Classification for Decision Support in Customer Relationship Management

Stefan Lessmann, Stefan Voß, S. Voß, 2008 .

Support vector machines versus artificial neural networks - new potential in data mining for customer relationship management?

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2005 .

Track and Treat - Usage of E-Mail Tracking for Newsletter Individualization

Benedict Bender, Benjamin Fabian, Stefan Lessmann, 2018, ECIS.

Tuning metaheuristics: A data mining based approach for particle swarm optimization

Stefan Lessmann, Marco Caserta, Idel Montalvo Arango, 2011, Expert Syst. Appl..

Feature Selection in Marketing Applications

Stefan Lessmann, Stefan Voß, S. Voß, 2009, ADMA.

Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2009, DMIN.

Proceedings of The 2008 International Conference on Data Mining, DMIN 2008, July 14-17, 2008, Las Vegas, USA, 2 Volumes

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2008, DMIN.

A comparative study of LSTM neural networks in forecasting day-ahead global horizontal irradiance with satellite data

Stefan Lessmann, Shikhar Srivastava, S. Lessmann, 2018 .

A multi-objective approach for profit-driven feature selection in credit scoring

Bart Baesens, Stefan Lessmann, Yiannis Gatsoulis, 2019, Decis. Support Syst..

Residual value forecasting using asymmetric cost functions

Stefan Lessmann, Hans-Jörg von Mettenheim, Korbinian Dress, 2017, International Journal of Forecasting.

E-Mail Tracking: Status Quo and Novel Countermeasures

Benedict Bender, Benjamin Fabian, Stefan Lessmann, 2016, ICIS.

A new methodology for generating and combining statistical forecasting models to enhance competitive event prediction

Stefan Lessmann, Ming-Chien Sung, Johnnie E. V. Johnson, 2012, Eur. J. Oper. Res..

Support of Managerial Decision Making by Transductive Learning

Stefan Lessmann, Stefan Voß, Hubertus Brandner, 2011, Wirtschaftsinformatik.

Profit-Oriented Feature Selection in Credit Scoring Applications

Bart Baesens, Stefan Lessmann, Konstantinos Papakonstantinou, 2018, OR.

AIS Electronic Library (AISeL)

Stefan Lessmann, Stefan Voss, Hubertus Brandner, 2005 .

Utility based data mining for time series analysis: cost-sensitive learning for neural network predictors

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2005, UBDM '05.

Forex exchange rate forecasting using deep recurrent neural networks

Stefan Lessmann, Hsin Vonn Seow, Wolfgang Karl Härdle, 2020, Digital Finance.

Response Transformation and Profit Decomposition for Revenue Uplift Modeling

Szymon Jaroszewicz, Stefan Lessmann, Robin M. Gubela, 2019, Eur. J. Oper. Res..

A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry

Stefan Lessmann, Kristof Coussement, Geert Verstraeten, 2017, Decis. Support Syst..

Real World Data Mining Applications

Stefan Lessmann, Gary M. Weiss, Robert Stahlbock, 2014 .

Conversion Uplift in E-Commerce: A Systematic Benchmark of Modeling Strategies

Stefan Lessmann, Robin Marco Gubela, Fabian Gebert, 2019, Int. J. Inf. Technol. Decis. Mak..

To Use or not to Use: the Relationship between Personality Traits and Instagram Usage

Stefan Lessmann, Annika Baumann, Carlos Jennewein, 2020, Wirtschaftsinformatik.

Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning pdf

Stefan Lessmann, Justin Engelmann, S. Lessmann, 2020, Expert Syst. Appl..

Interpretable Multiple Treatment Revenue Uplift Modeling pdf

Stefan Lessmann, Robin Marco Gubela, S. Lessmann, 2021, AMCIS.

Proceedings of the 2007 International Conference on Data Mining, DMIN 2007, June 25-28, 2007, Las Vegas, Nevada, USA

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2007, DMIN.

Shallow Self-Learning for Reject Inference in Credit Scoring

Stefan Lessmann, Konstantinos Papakonstantinou, Luís Moreira-Matias, 2019, ECML/PKDD.

The Price of Privacy

Stefan Lessmann, Annika Baumann, Johannes Haupt, 2018, Business & Information Systems Engineering.

Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings

Bart Baesens, Stefan Lessmann, Christophe Mues, 2008, IEEE Transactions on Software Engineering.

Incorporating textual information in customer churn prediction models based on a convolutional neural network

Stefan Lessmann, Arno De Caigny, Kristof Coussement, 2019 .

Save the best for last? The treatment of dominant predictors in financial forecasting

Stefan Lessmann, Ming-Chien Sung, S. Lessmann, 2012, Expert Syst. Appl..

Predicting online shopping behaviour from clickstream data using deep learning

Markus Schaal, Stefan Lessmann, Dennis Koehn, 2020, Expert Syst. Appl..

Data Mining: Special Issue in Annals of Information Systems

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2009 .

Solving Imbalanced Classification Problems with Support Vector Machines

Stefan Lessmann, S. Lessmann, 2004, IC-AI.

Improving predictions of competitive event outcomes by forecast combination

Stefan Lessmann, Ming-Chien Sung, Tiejun Ma, 2012 .

Extreme learning machines for credit scoring: An empirical evaluation

Stefan Lessmann, Artem Bequé, S. Lessmann, 2017, Expert Syst. Appl..

Kostensensitive Klassifikation mit Random Forest

Stefan Lessmann, Stefan Voß, Sebastian Schüller, 2014, HMD Praxis der Wirtschaftsinformatik.

Deep learning for detecting financial statement fraud

Stefan Lessmann, Patricia Craja, Alisa Kim, 2020, Decis. Support Syst..

Data Mining and Information Systems: Quo Vadis?

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2010, Data Mining.

The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2006, Eur. J. Oper. Res..

Successful betting through combined forecast modelling

Stefan Lessmann, Ming-Chien Sung, Tiejun Ma, 2014 .

Crowdsourcing: Systematisierung praktischer Ausprägungen und verwandter Konzepte

Stefan Lessmann, Stefan Voß, Nicole Martin, 2008, Multikonferenz Wirtschaftsinformatik.

Bridging the divide in financial market forecasting: machine learners vs. financial economists

Stefan Lessmann, Ming-Chien Sung, Johnnie E. V. Johnson, 2016, Expert Syst. Appl..

A Novel Approach to Construct Discrete Support Vector Machine Classifiers

Stefan Lessmann, Stefan Voß, Marco Caserta, 2008, GfKl.

The Impact of Preprocessing on Data Mining: An Evaluation of Support Vector Machines and Artificial Neural Networks

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2006 .

Towards a methodology for measuring the true degree of efficiency in a speculative market

Stefan Lessmann, Johnnie E. V. Johnson, M.-C. Sung, 2011, J. Oper. Res. Soc..

Usage Continuance in Software-as-a-Service

Stefan Lessmann, Elias Baumann, Jana Kern, 2020 .

Decision Support in Car Leasing: a Forecasting Model for Residual Value Estimation

Stefan Lessmann, Stefan Voß, Mariana Listiani, 2010, ICIS.

Sales Forecasting with Partial Recurrent Neural Networks: Empirical Insights and Benchmarking Results

Stefan Lessmann, Stefan Voß, Moritz Müller-Navarra, 2015, 2015 48th Hawaii International Conference on System Sciences.

Parameter Sensitivity of Support Vector Regression and Neural Networks for Forecasting

Sven F. Crone, Stefan Lessmann, Swantje Pietsch, 2006, DMIN.

Maximize What Matters: Predicting Customer Churn With Decision-Centric Ensemble Selection

Stefan Lessmann, Kristof Coussement, Koen W. De Bock, 2015, ECIS.

Data driven value-at-risk forecasting using a SVR-GARCH-KDE hybrid

Stefan Lessmann, Wolfgang Karl Härdle, Marius Lux, 2020, Comput. Stat..

Modelling Mismatch In Predictive Analytics: A Case Study Illustration And Possible Remedy

Stefan Lessmann, 2013, ECIS.

A memetic approach to construct transductive discrete support vector machines

Stefan Lessmann, Stefan Voß, Hubertus Brandner, 2013, Eur. J. Oper. Res..

Identifying winners of competitive events: A SVM-based classification model for horserace prediction

Stefan Lessmann, Ming-Chien Sung, Johnnie E. V. Johnson, 2009, Eur. J. Oper. Res..

Proceedings of the 2006 International Conference on Data Mining, DMIN 2006, Las Vegas, Nevada, USA, June 26-29, 2006

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2006, DMIN.

Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach

Stefan Lessmann, Kristof Coussement, Koen W. De Bock, 2020, Eur. J. Oper. Res..

A new method for predicting the outcome of speculative events

Stefan Lessmann, Ming-Chien Sung, Johnnie E.V. Johnson, 2007 .

Metaheuristics and Classifier Ensembles

Stefan Lessmann, Stefan Voß, Ringolf Thomschke, 2019, Business and Consumer Analytics: New Ideas.

Customer-Centric Decision Support

Stefan Lessmann, Stefan Voß, S. Voß, 2010, Bus. Inf. Syst. Eng..

ADAPTING LEAST-SQUARE SUPPORT VECTOR REGRESSION MODELS TO FORECAST THE OUTCOME OF HORSERACES

Stefan Lessmann, Ming-Chien Sung, Johnnie E.V. Johnson, 2012 .

Affordable Uplift: Supervised Randomization in Controlled Experiments pdf

Stefan Lessmann, Johannes Haupt, Robin M. Gubela, 2019, ICIS.

Enterprise-grade protection against e-mail tracking

Benedict Bender, Benjamin Fabian, Stefan Lessmann, 2020, Inf. Syst..

Leveraging Image-based Generative Adversarial Networks for Time Series Generation pdf

Stefan Lessmann, Justin Hellermann, 2021, ArXiv.

Fairness in Credit Scoring: Assessment, Implementation and Profit Implications

Stefan Lessmann, Nikita Kozodoi, Johannes Jacob, 2021, Eur. J. Oper. Res..

Targeting customers under response-dependent costs

Stefan Lessmann, Johannes Haupt, S. Lessmann, 2020, Eur. J. Oper. Res..

Uplift modeling with value-driven evaluation metrics

Stefan Lessmann, Robin Marco Gubela, S. Lessmann, 2021, Decis. Support Syst..

A Hybrid Approach of Machine Learning and Lexicons to Sentiment Analysis: Enhanced Insights from Twitter Data of Natural Disasters

Stefan Lessmann, Pankaj Dutta, Abhishek Behl, 2021, Information Systems Frontiers.

Modeling Irregular Time Series with Continuous Recurrent Units pdf

Stefan Lessmann, Maja Rudolph, Mona Schirmer, 2021, ArXiv.

Personalization in E-Grocery: Top-N versus Top-k Rankings pdf

Stefan Lessmann, Franziska Scherpinski, S. Lessmann, 2021, ArXiv.

Spurious patterns in Google Trends data - An analysis of the effects on tourism demand forecasting in Germany

Stefan Lessmann, S. Lessmann, B. Bokelmann, 2019 .

Is Scientific Performance a Function of Funds

Stefan Lessmann, Wolfgang Härdle, Alona Zharova, 2017 .

Alternative methods of predicting competitive events: An application in horserace betting markets

Stefan Lessmann, Ming-Chien Sung, Johnnie E.V. Johnson, 2010 .

Car resale price forecasting: The impact of regression method, private information, and heterogeneity on forecast accuracy

Stefan Lessmann, Stefan Voß, S. Voß, 2017 .

Optimizing Hyperparameters of Support Vector Machines by Genetic Algorithms

Sven F. Crone, Stefan Lessmann, Robert Stahlbock, 2005, IC-AI.