Bart Baesens
- Auteur
Bart Baesens is a professor at KU Leuven and a lecturer at the University of Southampton, where he teaches various programming and database management courses.
Bart Baesens is a professor at KU Leuven and a lecturer at the University of Southampton, where he teaches various programming and database management courses.
Bart Baesens
Boeken van Bart Baesens
Bart Baesens
Veronique Van Vlasselaer
Wouter Verbeke
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques
Detect fraud earlier to mitigate loss and prevent cascading damage
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Meer
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Meer
Bart Baesens
Aimee Backiel
Seppe vanden Broucke
Beginning Java Programming: The Object–Oriented Approach
Met deze introductie in Java test u uw vaardigen door middel van praktische voorbeelden en problemen uit de praktijk.
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Wilfried (KU Leuven Lemahieu
Wilfried Lemahieu
Seppe (KU Leuven vanden Broucke
Seppe vanden Broucke
Bart (KU Leuven Baesens
Bart Baesens
Principles of Database Management
Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.
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Wouter Verbeke
Bart Baesens
Cristian Bravo
Profit Driven Business Analytics – A Practitioner′s Guide to Transforming Big Data into Added Value
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.
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Seppe vanden Broucke
Bart Baesens
Practical Web Scraping for Data Science
This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices.
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