Principles of Database Management:
The Practical Guide to Storing, Managing and Analyzing Big and Small Data

Authors: Wilfried Lemahieu, Bart Baesens, Seppe vanden Broucke
Publisher: Cambridge University Press
Get it on: Amazon

This book covers the principles of database management. It starts by defining databases and the various steps of database design. A next part zooms into different types of database systems: pre-relational, relational, object oriented, XML and no-SQL databases. Subsequent chapters discuss transaction management and physical data storage aspects. Also data access and data integration in an x-tier environment are extensively covered. The book concludes by discussing data warehousing, big data and analytics. Throughout the book, we will include various examples and case studies to illustrate and clarify the concepts discussed. Every chapter will conclude with a set of self-study questions such that the book can be easily used as a textbook by colleague instructors. We will also extensively report on both our research and industry experience on the topic to further illustrate the practical impact of the concepts discussed.

→ Read more information and be notified when the book releases over at!
→ Access YouTube courses.

Credit Risk Analytics: The R Companion

Authors: Harald Scheule, Daniel Rösch, Bart Baesens
Publisher: Wiley
Get it on: Amazon

Credit risk analytics in R will enable you to build credit risk models from start to finish. Accessing real credit data via the accompanying website, you will master a wide range of applications, including building your own PD, LGD and EAD models as well as mastering industry challenges such as reject inference, low default portfolio risk modeling, model validation and stress testing. This book has been written as a companion to Baesens, B., Roesch, D. and Scheule, H., 2016. Credit Risk Analytics: Measurement Techniques, Applications, and Examples in SAS. John Wiley & Sons.

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

Authors: Seppe vanden BrouckeBart Baesens
Publisher: Apress
Get it on: Amazon

Get Started with Web Scraping using Python!

Congratulations! By picking up this book, you’ve set the first steps into the exciting world of web scraping. For those who are not familiar with programming or the deeper workings of the web, web scraping often looks like a black art: the ability to write a program that sets off on its own to explore the Internet and collect data is seen as a magical and exciting ability to possess. In this book, we set out to provide a concise and modern guide to web scraping, using Python as our programming language, without glossing over important details or best practices. In addition, this book is written with a data science audience in mind. We’re data scientists ourselves, and have very often found web scraping to be a powerful tool to have in your arsenal, as many data science projects start with the first step of obtaining an appropriate data set, so why not utilize the treasure trove of information the web provides.

→ Read more information and get example source code over at!


Web Scraping for Data Science with Python

Authors: Seppe vanden BrouckeBart Baesens
Paperback: 256 pages
Publisher: CreateSpace Independent Publishing Platform (November 30, 2017)
ISBN-10: 1979343780
ISBN-13: 978-1979343787
Get it on: Re-released with Apress (see above)



Profit Driven Business Analytics:
A Practitioner’s Guide to Transforming Big Data into Added Value

Authors: Wouter Verbeke, Cristian Bravo, Bart Baesens
Publisher: Wiley and SAS Business Series
Get it on: Amazon
ISBN-13: 978-1119286554 | ISBN-10: 1119286557

Maximize profit and optimize decisions with advanced business analytics

Profit-Driven Business Analytics provides actionable guidance on optimizing the use of data to add value and drive better business. Combining theoretical and technical insights into daily operations and long-term strategy, this book acts as a development manual for practitioners seeking to conceive, develop, and manage advanced analytical models.


Credit Risk Analytics:
Measurement Techniques, Applications, and Examples in SAS

Authors: Bart Baesens, Daniel Roesch, Harald Scheule
Publisher: Wiley and SAS Business Series
Get it on: Amazon
ISBN-13: 978-1119143987 | ISBN-10: 1119143985

The long-awaited, comprehensive guide to practical credit risk modeling

Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided.

→ Obtain the data sets used in the book here.


Fraud Analytics:
Using Supervised, Unsupervised and Social Network Learning Techniques

Authors: Bart BaesensVéronique Van Vlasselaer, Wouter Verbeke
Publisher: Wiley
Get it on: Amazon
ISBN-13: 978-1119133124 | ISBN-10: 1119133122

Detect fraud before damage cascades

Fraud detection is more valuable the sooner it is made, because further losses are prevented, potential recoveries are higher, and security issues can be addressed more rapidly, as such avoiding cascading damage to an organization. Detecting fraud in an early stage however is harder than detecting it in an evolved stage, and requires specific techniques discussed in this book.

→ Read a sample chapter for free.



Beginning Java Programming:
The Object-Oriented Approach

Authors: Bart BaesensAimée Backiel, Seppe vanden Broucke
Publisher: Wrox (Wiley)
Get it on: Amazon | Wiley
ISBN-13: 978-1118739495 | ISBN-10: 1118739493

A comprehensive Java guide, with samples, exercises, case studies, and step-by-step instructions

Beginning Java Programming: The Object Oriented Approach is a straightforward resource for getting started with one of the world’s most enduringly popular programming languages. Based on classes taught by the authors, the book starts with the basics and gradually builds into more advanced concepts. The approach utilizes an integrated development environment that allows readers to immediately apply what they learn, and includes step-by-step instruction with plenty of sample programs.

→ Get started right away by watching our lecture videos and presentations on “Basic Java Programming”.
→ Get a free pdf of our article “The State of Database Access in Java: Passchendaele Revisited” written for Cutter IT Advisor where we discuss some of our findings whilst writing the book.



Analytics in a Big Data World:
The Essential Guide to Data Science and its Applications

Author: Bart Baesens
Publisher: Wiley and SAS Business Series
Get it on: Amazon | Wiley
ISBN-13: 978-1118892701 | ISBN-10: 1118892704

The guide to targeting and leveraging business opportunities using big data & analytics

By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior.Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.

→ Read the first chapter for free.


crbookCredit Risk Management:
Basic Concepts: Financial Risk Components, Rating Analysis, Models, Economic and Regulatory Capital

Authors: Tony Van Gestel, Bart Baesens
Publisher: Oxford University Press
Get it on: Amazon
ISBN-13: 978-0199545117 | ISBN-10: 0199545111

Get an overview of everything that should be considered when undertaking credit risk management

Credit Risk Management: Basic Concepts is the first book of a series of three with the objective of providing an overview of all aspects, steps, and issues that should be considered when undertaking credit risk management, including the Basel II Capital Accord, which all major banks must comply with in 2008.


PhD Theses

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PhD thesis by: Bart Baesens (2003) Developing Intelligent Systems for Credit Scoring Using Machine Learning Techniques
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PhD thesis by: Elisabeth Van Laere (2011)
The Capital Regulation of Financial Institutions, the Role of Ratings and the Tension Field Between Regulation and Economic Reality
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PhD thesis by: Wouter Verbeke (2012)
Profit Driven Data Mining in Massive Customer Networks: New Insights and Algorithms
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PhD thesis by: Thomas Verbraken (2012)
Business-Oriented Data Analytics: Theory and Case Studies
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PhD thesis by: Jochen De Weerdt (2012)
Business Process Discovery: New Techniques and Applications
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PhD thesis by: Karel Dejaeger
Essays on Empirical Software
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PhD thesis by: Helen Tadesse Moges (2014)
A Contextual Data Quality Analysis for Credit Risk Management in Financial Institutions
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PhD thesis by: Seppe vanden Broucke (2014)
Advances in Process Mining: Artificial Negative Events and Other Techniques
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PhD thesis by: Alex Seret (2015)
Business-Driven Data Mining: New Algorithms and Applications
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PhD thesis by: Véronique Van Vlasselaer (2015)
FAIR: Forecasting en Netwerk Analytics voor het Beheer van het Inningsrisico
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