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Baesens, Bart [Author]

Analytics in a big data world : the essential guide to data science and its applications

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Hoboken, NJ: John Wiley & Sons, Inc, c 2014

Published in: Wiley & SAS business series
Van Gestel, Tony [Author]; Baesens, Bart [Author]

Credit risk management : basic concepts ; financial risk components, rating analysis, models, economic and regulatory capital

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Oxford [u.a.]: Oxford Univ. Press, 2009
Lemahieu, Wilfried [Author]; Vanden Broucke, Seppe [Author]; Baesens, Bart [Author]

Principles of database management : the practical guide to storing, managing and analyzing big and small data

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Cambridge; New York; Melbourne: Cambridge University Press, 2018
Baesens, Bart [Author]; Backiel, Aimée [Author]; Vanden Broucke, Seppe [Author]

Beginning Java programming : the object-oriented approach

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Indianapolis, Ind.: Wrox/Wiley, 2015

Published in: Wrox programmer to programmer
Vanden Broucke, Seppe [Author] ; Baesens, Bart [Contributor]

Practical web scraping for data science : best practices and examples with Python

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[Place of publication not identified]: Apress, [2018]
Gestel, Tony van [Author] ; Baesens, Bart [Contributor]

Credit risk management : basic concepts : financial risk components, rating analysis, models, economic and regulatory capital

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Oxford: Oxford University Press, c2009
Baesens, Bart [Author] ; Vlasselaer, Véronique van [Contributor]; Verbeke, Wouter [Contributor]

Fraud analytics using descriptive, predictive, and social network techniques : a guide to data science for fraud detection

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Hoboken, New Jersey: John Wiley & Sons, [2015]

Published in: Wiley & SAS business series
Baesens, Bart [Author]

Analytics in a big data world : the essential guide to data science and its applications

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Hoboken, New Jersey: John Wiley & Sons, [2014]

Published in: Wiley & SAS business series
Dirick, Lore [Author] ; Claeskens, Gerda [Other]; Baesens, Bart [Other]

Time to Default in Credit Scoring Using Survival Analysis : A Benchmark Study

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[S.l.]: SSRN, [2015]
Caron, Filip [Author] ; Vanthienen, Jan [Other]; Baesens, Bart [Other]

Advances in Rule-Based Process Mining : Applications for Enterprise Risk Management and Auditing

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[S.l.]: SSRN, [2013]

Published in: KU Leuven - Faculty of Economics and Business Working Paper ; No. KBI 1305
Dirick, Lore [Author] ; Claeskens, Gerda [Other]; Baesens, Bart [Other]

An Akaike Information Criterion for Multiple Event Mixture Cure Models

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https://ssrn.com/abstract=2495331

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[S.l.]: SSRN, [2014]
Caron, Filip [Author] ; Vanthienen, Jan [Other]; Baesens, Bart [Other]

A Comprehensive Framework for the Application of Process Mining in Risk Management and Compliance Checking

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https://ssrn.com/abstract=2244885

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[S.l.]: SSRN, [2013]

Published in: KU Leuven Faculty of Business and Economics KBI 1226
Baesens, Bart [Author]; Smedts, Kristien [Author]

Boosting Credit Risk Models

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[S.l.]: SSRN, [2023]
vanden Broucke, Seppe [Author]; Baesens, Bart [Author]

Practical Web Scraping for Data Science : Best Practices and Examples with Python

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Berkeley, CA: Apress, 2018

Published in: SpringerLink ; Bücher- Springer eBook Collection
Van Looy, Bart [Author] ; Baesens, Bart [Other]; Magerman, Tom [Other]; Debackere, Koenraad [Other]

Assessment of Latent Semantic Analysis (LSA) Text Mining Algorithms for Large Scale Mapping of Patent and Scientific Publication Documents

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[S.l.]: SSRN, [2012]
Martens, David [Author] ; Baesens, Bart [Other]; Van Gestel, Tony [Other]; Vanthienen, Jan [Other]

Comprehensible Credit Scoring Models Using Rule Extraction from Support Vector Machines

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https://ssrn.com/abstract=878283

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[S.l.]: SSRN, [2007]
Aimée, Backiel [Author]; Baesens, Bart [Author]; Claeskens, Gerda [Author]

Mining Telecommunication Networks to Enhance Customer Lifetime Predictions

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[S.l.]: SSRN, 2014
Vanden Broucke, Seppe [Author]; Vanthienen, Jan [Author]; Baesens, Bart [Author]

Straightforward Petri Net-based Event Log Generation in ProM

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https://ssrn.com/abstract=2489051

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[S.l.]: SSRN, 2014
Huysmans, Johan [Author]; Baesens, Bart [Author]; Vanthienen, Jan [Author]

Using Rule Extraction to Improve the Comprehensibility of Predictive Models

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https://ssrn.com/abstract=961358

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[S.l.]: SSRN, 2007
Dirick, Lore [Author]; Claeskens, Gerda [Author]; Vasnev, Andrey [Author]; Baesens, Bart [Author]

A hierarchical mixture cure model with unobserved heterogeneity for credit risk

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https://lirias.kuleuven.be/retrieve/598249

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Leuven, België: KU Leuven, Faculteit Economie en Bedrijfswetenschappen, [2020]

Published in: Katholieke Universiteit Leuven: KBI ; 2020,7

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