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1. BART: BAckward Regression Trimming
by Baesens, Bart
Big data, ISSN 2167-6461, 09/2019, Volume 7, Issue 3, pp. 207 - 213
Computer Science, Theory & Methods | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Science & Technology | Big Data | Regression Analysis | Software | Models, Statistical
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2. An Interview with Bart Baesens, One of the Authors of Principles of Database Management
by Lemahieu, Wilfried and Vanden Broucke, Seppe and Baesens, Bart
Big data, ISSN 2167-6461, 06/2018, Volume 6, Issue 2, pp. 69 - 71
Computer Science, Theory & Methods | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Science & Technology | Big Data | Books | Information Storage and Retrieval
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3. Full Text Benchmarking Least Squares Support Vector Machine Classifiers
by van Gestel, Tony and Suykens, Johan A.K and Baesens, Bart and Viaene, Stijn and Vanthienen, Jan and Dedene, Guido and de Moor, Bart and Vandewalle, Joos
Machine learning, ISSN 0885-6125, 1/2004, Volume 54, Issue 1, pp. 5 - 32
least squares support vector machines | multiclass support vector machines | Automation and Robotics | Computer Science | Artificial Intelligence (incl. Robotics) | sparse approximation | Computer Science, general | Least squares support vector machines | Multiclass support vector machines | Sparse approximation | Benchmarks | Algorithms | Studies | Discriminant analysis
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4. Full Text Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research
by Lessmann, Stefan and Baesens, Bart and Seow, Hsin-Vonn and Thomas, Lyn C
European journal of operational research, ISSN 0377-2217, 11/2015, Volume 247, Issue 1, pp. 124 - 136
OR in banking | Data mining | Credit scoring | Forecasting benchmark | Business & Economics | Operations Research & Management Science | Social Sciences | Management | Technology | Science & Technology | Benchmarks | Analysis | Credit ratings | Studies | Performance evaluation | Algorithms
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5. Full Text New insights into churn prediction in the telecommunication sector: A profit driven data mining approach
by Verbeke, Wouter and Dejaeger, Karel and Martens, David and Hur, Joon and Baesens, Bart
European journal of operational research, ISSN 0377-2217, 2012, Volume 218, Issue 1, pp. 211 - 229
Profit | Churn prediction | Oversampling | Data mining | Input selection | Telecommunication sector | Business & Economics | Operations Research & Management Science | Social Sciences | Management | Technology | Science & Technology | Data processing. List processing. Character string processing | Firm modelling | Operational research and scientific management | Memory organisation. Data processing | Exact sciences and technology | Applied sciences | Software | Operational research. Management science | Computer science; control theory; systems | Universities and colleges | Analysis | Telecommunications services industry | Communications industry | Studies | Telecommunications industry | Forecasting techniques | Profit maximization | Turnover | Data sets | Classification | Benchmarking | Mathematical models | Operational research | Telecommunications | Optimization
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6. Full Text Editorial survey: swarm intelligence for data mining
by Martens, David and Martens, David and Baesens, Bart and Baesens, Bart and Fawcett, Tom and Fawcett, Tom
Machine learning, ISSN 0885-6125, 1/2011, Volume 82, Issue 1, pp. 1 - 42
Ant colony optimization | Control , Robotics, Mechatronics | Computer Science | Artificial Intelligence (incl. Robotics) | Simulation and Modeling | Computing Methodologies | Swarm intelligence | Data mining | Language Translation and Linguistics | Particle swarm optimization | Computer Science, Artificial Intelligence | Technology | Science & Technology | Algorithms | Animal behavior | Schools | Artificial intelligence | Mathematical optimization | Optimization techniques | Animal populations | Insects
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7. Full Text Transformational issues of big data and analytics in networked business
by Baesens, Bart and Bapna, Ravi and Marsden, James R and Vanthienen, Jan and Zhao, J. Leon
MIS quarterly, ISSN 0276-7783, 12/2016, Volume 40, Issue 4, pp. 807 - 818
Computer Science, Information Systems | Information Science & Library Science | Social Sciences | Technology | Computer Science | Business & Economics | Management | Science & Technology | Studies | Big Data | Data analysis | Information systems
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8. Full Text Evaluation of customer behavior with temporal centrality metrics for churn prediction of prepaid contracts
by Calzada-Infante, Laura and Óskarsdóttir, María and Baesens, Bart
Expert systems with applications, ISSN 0957-4174, 12/2020, Volume 160, p. 113553
Social network analysis | Churn prediction | Similarity forests | Centrality metrics | Time series | Operations Research & Management Science | Engineering | Technology | Computer Science | Engineering, Electrical & Electronic | Computer Science, Artificial Intelligence | Science & Technology | Social networks | Consumer behavior | Analysis | Contracts | Telecommunications services industry | Communications industry | Graphs | Customers | Network analysis | Classification
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9. Full Text Financial Efficiency and Social Impact of Microfinance Institutions Using Self-Organizing Maps
by Louis, Philippe and Seret, Alex and Baesens, Bart
World development, ISSN 0305-750X, 06/2013, Volume 46, pp. 197 - 210
profitability | microfinance | social impact | self-sustainability | self-organizing maps | outreach | Outreach | Profitability | Microfinance | Self-organizing maps | Social impact | Self-sustainability | Development Studies | Economics | Business & Economics | Social Sciences | Studies | Tradeoff analysis | Financial performance | Research methodology
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10. Full Text Comprehensible credit scoring models using rule extraction from support vector machines
by Martens, David and Baesens, Bart and Van Gestel, Tony and Vanthienen, Jan
European journal of operational research, ISSN 0377-2217, 2007, Volume 183, Issue 3, pp. 1466 - 1476
Support vector machine | Credit scoring | Classification | Rule extraction | Business & Economics | Operations Research & Management Science | Social Sciences | Management | Technology | Science & Technology | Analysis | Credit ratings | Studies | Algebra | Medical diagnosis | Neural networks
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11. Full Text APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions
by Van Vlasselaer, Véronique and Bravo, Cristián and Caelen, Olivier and Eliassi-Rad, Tina and Akoglu, Leman and Snoeck, Monique and Baesens, Bart
Decision Support Systems, ISSN 0167-9236, 07/2015, Volume 75, Issue C, pp. 38 - 48
Supervised learning | Network analysis | Bipartite graphs | Credit card transaction fraud | Computer Science, Information Systems | Operations Research & Management Science | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Credit card processing services | Analysis | Credit card fraud | Social networks | Electronic commerce | Studies | Decision support systems | Payment systems | Bank automation | Credit cards | Service introduction | Internet | Networks | Playgrounds | Fraud | Boundaries | Online | Cards
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12. Full Text Defining analytics maturity indicators: A survey approach
by Lismont, Jasmien and Vanthienen, Jan and Baesens, Bart and Lemahieu, Wilfried
International journal of information management, ISSN 0268-4012, 06/2017, Volume 37, Issue 3, pp. 114 - 124
Organizational characteristics | Survey research | Analytics techniques | Analytics maturity | Technology | Information Science & Library Science | Science & Technology | Surveys | Clustering (Computers) | Neural networks | Analysis | Machine learning | Leadership | Researchers | Web analytics | Decision making | Mathematical analysis | Decision analysis | Clustering | Artificial intelligence | Analytics
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