Jan Vanthienen regularly links together related areas like Classifier (UML) in his Artificial intelligence studies. With his scientific publications, his incorporates both Data mining and Knowledge extraction. In his works, he performs multidisciplinary study on Knowledge extraction and Data mining. His Machine learning study frequently links to adjacent areas such as Least squares support vector machine. Jan Vanthienen integrates many fields in his works, including Artificial neural network and Support vector machine. While working in this field, he studies both Support vector machine and Least squares support vector machine. Marketing is closely attributed to Business analysis in his work. His Business analysis study frequently links to adjacent areas such as Business model. His study brings together the fields of Business analytics and Business model.
The study of Artificial intelligence is intertwined with the study of Support vector machine in a number of ways. Much of his study explores Support vector machine relationship to Artificial intelligence. He performs multidisciplinary study on Data mining and Data science in his works. He undertakes interdisciplinary study in the fields of Data science and Data mining through his works. Jan Vanthienen conducted interdisciplinary study in his works that combined Process (computing) and Operating system. Borrowing concepts from Process (computing), Jan Vanthienen weaves in ideas under Operating system. By researching both Programming language and Software engineering, Jan Vanthienen produces research that crosses academic boundaries. He performs multidisciplinary study in the fields of Software engineering and Programming language via his papers. He conducts interdisciplinary study in the fields of Machine learning and Artificial neural network through his works.
His work in Predictive modelling addresses issues such as Machine learning, which are connected to fields such as Bayesian network and Ranking (information retrieval). He combines Bayesian network and Machine learning in his research. He focuses mostly in the field of Feature (linguistics), narrowing it down to matters related to Linguistics and, in some cases, Government (linguistics). His Government (linguistics) study often links to related topics such as Linguistics. His Multitude study which covers Epistemology that intersects with Quality (philosophy). His work on Epistemology expands to the thematically related Quality (philosophy). He combines Data science and Big data in his research. Jan Vanthienen performs integrative study on Big data and Analytics. Jan Vanthienen combines Analytics and Predictive analytics in his research.
In his study, Quality (philosophy) is strongly linked to Epistemology, which falls under the umbrella field of Multitude. Quality (philosophy) and Epistemology are commonly linked in his work. He performs multidisciplinary study in Data science and Predictive analytics in his work. Jan Vanthienen integrates Predictive analytics and Analytics in his research. Jan Vanthienen merges many fields, such as Analytics and Big data, in his writings. Jan Vanthienen performs integrative study on Big data and Data mining in his works. Jan Vanthienen integrates Data mining with Data science in his study. His Decision process research extends to the thematically linked field of Management science. His study connects Management science and Decision process.
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Process Mining Manifesto
Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri.
Benchmarking state-of-the-art classification algorithms for credit scoring
B Baesens;T Van Gestel;S Viaene;M Stepanova.
Journal of the Operational Research Society (2003)
Benchmarking Least Squares Support Vector Machine Classifiers
Tony Van Gestel;Johan A. K. Suykens;Bart Baesens;Stijn Viaene.
Machine Learning (2004)
Using Neural Network Rule Extraction and Decision Tables for Credit-Risk Evaluation
Bart Baesens;Rudy Setiono;Christophe Mues;Jan Vanthienen.
Management Science (2003)
Comprehensible credit scoring models using rule extraction from support vector machines
David Martens;Bart Baesens;Bart Baesens;Tony Van Gestel;Jan Vanthienen.
European Journal of Operational Research (2007)
Classification With Ant Colony Optimization
D. Martens;M. De Backer;R. Haesen;J. Vanthienen.
IEEE Transactions on Evolutionary Computation (2007)
An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models
Johan Huysmans;Karel Dejaeger;Christophe Mues;Jan Vanthienen.
decision support systems (2011)
Transformational issues of big data and analytics in networked business
Bart Baesens;Ravi Bapna;James R. Marsden;Jan Vanthienen.
Management Information Systems Quarterly (2014)
Bayesian neural network learning for repeat purchase modelling in direct marketing
Bart Baesens;Stijn Viaene;Dirk Van den Poel;Jan Vanthienen.
Designing compliant business processes with obligations and permissions
Stijn Goedertier;Jan Vanthienen.
business process management (2006)
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