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1. BART: BAckward Regression Trimming
by Baesens, B
BIG DATA, ISSN 2167-6461, 09/2019, Volume 7, Issue 3, pp. 207 - 213
analytics | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MODELS | predictive analytics | COMPUTER SCIENCE, THEORY & METHODS | variable selection | ART CLASSIFICATION ALGORITHMS
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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, INTERDISCIPLINARY APPLICATIONS | COMPUTER SCIENCE, THEORY & METHODS | Big Data | Books | Information Storage and Retrieval
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3. Fraud analytics using descriptive, predictive, and social network techniques
: a guide to data science for fraud detection
by Baesens, Bart
2015, Wiley & SAS business series, ISBN 1119133122
Prevention | Statistical methods | Fraud | Commercial crimes
Web Resource
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4. Fraud analytics using descriptive, predictive, and social network techniques
: a guide to data science for fraud detection
by Baesens, Bart
2015, Wiley & SAS business series, ISBN 1119133122
Prevention | Statistical methods | Fraud | Commercial crimes
Web Resource
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5. Analytics in a big data world
: the essential guide to data science and its applications
by Baesens, Bart
2014, Wiley & SAS business series, ISBN 1118892704
Decision making | Data processing | Big data | Statistical methods | Management
Web Resource
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6. Analytics in a big data world
: the essential guide to data science and its applications
by Baesens, Bart
2014, ISBN 1119204186
Web Resource
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7. Full Text Practical Web Scraping for Data Science : Best Practices and Examples with Python
by vanden Broucke, Seppe and Baesens, Bart
04/2018, 1, ISBN 9781484235812, 313
This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best... 
Python (Computer program language) | Business Intelligence | Web Scraping
eBook
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8. 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
In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a (convex) quadratic programming (QP) problem. In a modified... 
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 | DISCRIMINANT-ANALYSIS | LEARNING ALGORITHMS | FRAMEWORK | CLASSIFICATION | TIME | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | KERNELS | Benchmarks | Algorithms | Studies | Discriminant analysis
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9. Full Text Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings
by Lessmann, S and Baesens, B and Mues, C and Pietsch, S
IEEE Transactions on Software Engineering, ISSN 0098-5589, 07/2008, Volume 34, Issue 4, pp. 485 - 496
Software defect prediction strives to improve software quality and testing efficiency by constructing predictive classification models from code attributes to... 
Software testing | Statistical analysis | NASA | Predictive models | Statistical methods | Data mining | Convergence | Fault diagnosis | Complexity measures | Software quality | Benchmark testing | Software systems | Large-scale systems | Formal methods | Software defect prediction | Sstatistical methods | QUALITY | data mining | COMPONENTS | STATIC CODE ATTRIBUTES | RELIABILITY | NETWORKS | ALGORITHMS | QUANTITATIVE-ANALYSIS | ANALOGY | ENGINEERING, ELECTRICAL & ELECTRONIC | COMPUTER SCIENCE, SOFTWARE ENGINEERING | TREES | formal methods | complexity measures | VECTOR MACHINE CLASSIFIERS | statistical methods | software defect prediction | Evaluation | Usage | Program development software | Computer based modeling | Test methods | Classification | Software engineering | Classifiers | Algorithms | Mathematical models | Software | Empirical analysis | Computer programs | Defects
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10. 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
This paper surveys the intersection of two fascinating and increasingly popular domains: swarm intelligence and data mining. Whereas data mining has been a... 
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 | SYSTEM | SUPPORT VECTOR MACHINES | PARTICLE SWARM | SEARCH | ALGORITHM | CLASSIFICATION | ACO | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | RULE EXTRACTION | EQUIVALENCE CLASSES | Algorithms | Animal behavior | Schools | Artificial intelligence | Mathematical optimization | Optimization techniques | Animal populations | Insects
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11. Full Text Profit Driven Business Analytics
: A Practitioner's Guide to Transforming Big Data into Added Value
by Wouter Verbeke and Cristian Bravo and Bart Baesens
09/2017, 1st, Wiley & SAS business series, ISBN 9781119286554, 419
Maximize profit and optimize decisions with advanced business analytics Profit-Driven Business Analytics provides actionable guidance on optimizing the use of... 
Management | Statistical methods | Strategic planning | Big data | Value added | Data processing | Data mining | Business mathematics | Business | Computer programs
eBook
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12. Full Text Data Mining Techniques for Software Effort Estimation: A Comparative Study
by Dejaeger, K and Verbeke, W and Martens, D and Baesens, B
IEEE Transactions on Software Engineering, ISSN 0098-5589, 03/2012, Volume 38, Issue 2, pp. 375 - 397
A predictive model is required to be accurate and comprehensible in order to inspire confidence in a business setting. Both aspects have been assessed in a... 
software effort estimation | Estimation | regression | Artificial neural networks | Software | Data models | Cognition | Data mining | Regression tree analysis | COST ESTIMATION | EMPIRICAL VALIDATION | CLASSIFICATION | ANALOGY | ENGINEERING, ELECTRICAL & ELECTRONIC | FEATURE-SELECTION | COMPUTER SCIENCE, SOFTWARE ENGINEERING | MUTUAL INFORMATION | NEURAL-NETWORKS | MODELS | EFFORT PREDICTION | FEEDFORWARD NETWORKS | Usage | Scalability | Neural networks | Analysis | Logarithmic functions | Least squares | Innovations | Software engineering | Studies | Regression analysis
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13. 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
This paper contributes to the literature by investigating whether the increased focus on financial self-sustainability of microfinance institutions has been... 
profitability | microfinance | social impact | self-sustainability | self-organizing maps | outreach | Outreach | Profitability | Microfinance | Self-organizing maps | Social impact | Self-sustainability | SUSTAINABILITY | ECONOMICS | PLANNING & DEVELOPMENT | Studies | Tradeoff analysis | Financial performance | Research methodology
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14. Full Text A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models
by Verbraken, T and Verbeke, W and Baesens, B
IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 05/2013, Volume 25, Issue 5, pp. 961 - 973
The interest for data mining techniques has increased tremendously during the past decades, and numerous classification techniques have been applied in a wide... 
Knowledge engineering | Area measurement | Receivers | Data engineering | Educational institutions | Data mining | classification | performance measures | Business | AREA | ROC CURVE | COMPUTER SCIENCE, INFORMATION SYSTEMS | NETWORKS | ALGORITHMS | DECISION TABLES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ACCURACY | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Models | Profit | Churn rate | Studies | End users | Classifiers | Maximization | Classification | Aids | Mathematical models | Criteria
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15. Full Text To tune or not to tune: rule evaluation for metaheuristic-based sequential covering algorithms
by Minnaert, Bart and Minnaert, Bart and Martens, David and Martens, David and De Backer, Manu and De Backer, Manu and Baesens, Bart and Baesens, Bart
Data Mining and Knowledge Discovery, ISSN 1384-5810, 1/2015, Volume 29, Issue 1, pp. 237 - 272
While many papers propose innovative methods for constructing individual rules in separate-and-conquer rule learning algorithms, comparatively few study the... 
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | Rule induction | Rule evaluation | Heuristics | Computer Science | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Classification | Artificial Intelligence (incl. Robotics) | Sequential covering | COMPUTER SCIENCE, INFORMATION SYSTEMS | INDUCTION | COLONY | EVOLUTIONARY ALGORITHMS | OF-THE-ART | DISCOVERY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | MODELS | SOFTWARE TOOL | OPTIMIZATION | STATISTICAL COMPARISONS | Heuristic programming | Usage | Analysis | Learning | Construction | Accuracy | Algorithms | Balancing | Mathematical models | Data mining | Optimization | Heuristic
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16. 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
In the last decade, the ease of online payment has opened up many new opportunities for e-commerce, lowering the geographical boundaries for retail. While... 
Supervised learning | Network analysis | Bipartite graphs | Credit card transaction fraud | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | COMPUTER SCIENCE, INFORMATION SYSTEMS | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Credit card processing services | Analysis | Credit card fraud | Social networks | Electronic commerce | Networks | Playgrounds | Fraud | Boundaries | Internet | Online | Cards
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17. 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
Many years have passed since Baesens et al. published their benchmarking study of classification algorithms in credit scoring [Baesens, B., Van Gestel, T.,... 
OR in banking | Data mining | Credit scoring | Forecasting benchmark | SUPPORT VECTOR MACHINES | ENSEMBLE SELECTION | CLASSIFIERS | DATA MINING APPROACH | MIXTURE CURE MODELS | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | NEURAL-NETWORKS | ADAPTIVE REGRESSION SPLINES | BANKRUPTCY PREDICTION | RISK-ASSESSMENT | DATA SETS | Benchmarks | Analysis | Credit ratings
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18. Full Text Predicting time-to-churn of prepaid mobile telephone customers using social network analysis
by Backiel, Aimée and Baesens, Bart and Claeskens, Gerda
Journal of the Operational Research Society, ISSN 0160-5682, 09/2016, Volume 67, Issue 9, pp. 1135 - 1145
Mobile phone carriers in a saturated market must focus on customer retention to maintain profitability. This study investigates the incorporation of social... 
survival analysis | decision support systems | churn prediction | social network analysis | telecommunications | Decision support systems | Survival analysis | Social network analysis | Churn prediction | Telecommunications | Telecommunication | Social networks | Usage | Decision analysis | Cellular telephones | Analysis | Current carriers | Profitability | Wireless networks | Customers | Cell phones | Network analysis | Predictions | Feature extraction | Performance enhancement | Mathematical models
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19. Full Text Analytics in a big data world
: the essential guide to data science and its applications
by Baesens, Bart and Books24x7, Inc
2014, 1, Wiley & SAS business series, ISBN 9781118892718, 252
The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to... 
Decision-Making & Problem Solving | BUSINESS & ECONOMICS | Data processing | Big data | Statistical methods | Management | Decision making | Web Analytics
eBook
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20. Full Text Time to default in credit scoring using survival analysis: a benchmark study
by Dirick, Lore and Claeskens, Gerda and Baesens, Bart
Journal of the Operational Research Society, ISSN 0160-5682, 06/2017, Volume 68, Issue 6, pp. 652 - 665
We investigate the performance of various survival analysis techniques applied to ten actual credit data sets from Belgian and UK financial institutions. In... 
competing risks | benchmarking | survival analysis | mixture cure model | credit risk modeling | Benchmarking | MIXTURE CURE MODELS | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | MANAGEMENT | RISK | ALGORITHMS | BORROWERS DEFAULT | Benchmarks | Event history analysis | Financial institutions | Management | Analysis | Economic models | Survival analysis | Regression models | Parameter estimation | Statistical analysis | Splines | Failure analysis | Hazards | Regression analysis | Survival
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