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360 Degrees rumor detection : when explanations got some explaining to do
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- Journal Article
- A1
- open access
B2Boost : instance-dependent profit-driven modelling of B2B churn
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- Miscellaneous
- open access
Over hoe mobiele-telefoondata bijdragen aan de verbetering van criminaliteitsratio’s en de voorspelling van criminaliteit in tijd en ruimte
(2023) -
Hands-on data engineering with R, Python and PostgreSQL
(2022) -
Investigating Parallel Implementations of Genetic Algorithms for Stochastic Part-of-Speech Tagging
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Amazon Rainforest Wildfires Rumor Detection
(2022) -
COVID19 Rumor Detection
(2022) -
- Journal Article
- A1
- open access
Do mobile phone data provide a better denominator in crime rates and improve spatiotemporal predictions of crime?
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Leveraging sequential information from multivariate behavioral sensor data to predict the moment of calving in dairy cattle using deep learning
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- Journal Article
- A1
- open access
A performance analysis of fault recovery in stream processing frameworks
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- Journal Article
- A1
- open access
Influencing factors in the scalability of distributed stream processing jobs
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Predicting the milk yield curve of dairy cows in the subsequent lactation period using deep learning
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- Journal Article
- A1
- open access
Predicting self‐declared movie watching behavior using Facebook data and information‐fusion sensitivity analysis
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- Journal Article
- A1
- open access
Box office sales and social media : a cross-platform comparison of predictive ability and mechanisms
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- Journal Article
- A1
- open access
Predicting donation behavior : acquisition modeling in the nonprofit sector using Facebook data
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Evaluating the influence of Airbnb listings’ descriptions on demand
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Adding interpretability to predictive maintenance by machine learning on sensor data
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Leveraging latent representations for milk yield prediction and interpolation using deep learning
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Machine learning refinery sensor data to predict catalyst saturation levels
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Evaluation of stream processing frameworks
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Root cause analysis of compressor failure by machine learning
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- Journal Article
- A1
- open access
Evaluating multi-label classifiers and recommender systems in the financial service sector
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The role of marketer-generated content in customer engagement marketing
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Acquisition modeling in the nonprofit sector based on Facebook data
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Examining the relationship between crime and the ambient population using mobile phone data : the case of Belgium
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- Journal Article
- A1
- open access
Dynamics between social media engagement, firm-generated content, and live and time-shifted TV viewing
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Latency measurement of fine-grained operations in benchmarking distributed stream processing frameworks
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- Journal Article
- A1
- open access
Evaluating the importance of different communication types in romantic tie prediction on social media
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The added value of social media data in B2B customer acquisition systems : a real-life experiment
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- Journal Article
- A1
- open access
Identifying new product ideas : waiting for the wisdom of the crowd or screening ideas in real time
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Predicting Movie Watching Behavior using Facebook data and Information-fusion Sensitivity Analysis
(2017) -
bayesQR : a Bayesian approach to quantile regression
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Incorporating sequential information in bankruptcy prediction with predictors based on Markov for discrimination
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- Journal Article
- A1
- open access
Identifying soccer players on Facebook through predictive analytics
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Social media optimization: identifying an optimal strategy for increasing network size on Facebook
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The added value of Facebook friends data in event attendance prediction
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Identification of interdisciplinary ideas
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Predicting consumer load profiles using commercial and open data
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Evaluating the Importance of Different Communication Types in Tie Strength Prediction on Social Media
(2016) -
- Journal Article
- A1
- open access
Outlier-robust Bayesian multinomial choice modeling
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Equity price direction prediction for day trading ensemble classification using technical analysis indicators with interaction effects
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Integrating expert knowledge and multilingual web crawling data in a lead qualification system
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The added value of auxiliary data in sentiment analysis of Facebook posts
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Predicting buyer behavior using social media data
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- Conference Paper
- C3
- open access
Preventing customers from running away! Exploring generalized additive models for customer churn prediction
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Evaluating multiple classifiers for stock price direction prediction
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Assessing the principles of spatial competition between stores within a retail network
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CRM in social media: predicting increases in Facebook usage frequency
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Idea mining for web-based weak signal detection
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The status of energy price modelling and its relevance to marketing in emerging economies
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Does the use of solar and wind energy increase retail prices in Europe? Evidence from EU-27
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Using text summarizing to support planning of research and development
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Semantic weak signal tracing
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Cash demand forecasting in ATMs by clustering and neural networks
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An extended Huff-model for robustly benchmarking and predicting retail network performance
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Deep habits in consumption: a spatial panel analysis using scanner data
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Semantic compared cross impact analysis
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Quantitative cross impact analysis with latent semantic indexing
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Analyzing website content for improved R&T collaboration planning
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- Conference Paper
- C1
- open access
The dangers of using intention as a surrogate for Retention in brand positioning decision support systems
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Model-supported business-to-business prospect prediction based on an iterative customer acquisition framework
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- Journal Article
- A1
- open access
Technology classification with latent semantic indexing
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Kernel factory: an ensemble of kernel machines
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Protecting research and technology from espionage
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Web mining based extraction of problem solution ideas
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Quantile regression for database marketing: methods and applications
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Predicting customer profitability during acquisition: finding the optimal combination of data source and data mining technique
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Enhanced decision support in credit scoring using Bayesian binary quantile regression
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- Journal Article
- A1
- open access
Weak signal identification with semantic web mining
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Improving customer acquisition models by incorporating spatial autocorrelation at different levels of granularity
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Using eye-tracking data of advertisement viewing behavior to predict customer churn
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A novel solution approach for large-scale VRP with stochastic customers
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Analyzing existing customers' websites to improve the customer acquisition process as well as the profitability prediction in B-to-B marketing
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Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models
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- Conference Paper
- P1
- open access
Extracting information from sequences of financial ratios with Markov for discrimination : an application to bankruptcy prediction
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Using web data for acquiring profitable customers
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Incorporating predictors based on sequence analysis techniques in bankruptcy prediction modeling
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A VNS for the real-life asymmetric large-scale MTSP with stochastic customers
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A divide-and-conquer analysis of very large asymmetric vehicle routing problems
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- Journal Article
- A1
- open access
Binary quantile regression: a Bayesian approach based on the asymmetric Laplace distribution
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Modeling partial customer churn: on the value of first product-category purchase sequences
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- Conference Paper
- P1
- open access
Improving customer churn prediction by data augmentation using pictorial stimulus-choice data
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- Conference Paper
- C1
- open access
Using webcrawling of publicly available websites to assess E-commerce relationships
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Improving customer retention in financial services using kinship network information
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The role of seed money and threshold size in optimizing fundraising campaigns: past behavior matters!
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Improved multilevel security with latent semantic indexing
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- Journal Article
- A1
- open access
Customer event history for churn prediction: how long is long enough?
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Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences
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Predicting e-commerce company success by mining the text of its publicly-accessible website
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Including spatial interdependence in customer acquisition models: a cross-category comparison
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Mining social behavior ideas of Przewalski horses
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Extraction of ideas from microsystems technology
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Granular deleting in multi level security models : an electronic engineering approach
(2012) Advances in Mechanical and Electronic Engineering. In Lecture Notes in Electrical Engineering 177. p.609-614 -
Usability based modeling for advanced IT-security : an electronic engineering approach
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- Conference Paper
- P1
- open access
Improved emergency management by a loosely coupled logistic system
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- Conference Paper
- P1
- open access
Using NMF for analyzing war logs
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- Conference Paper
- P1
- open access
Temporary staffing services: a data mining perspective
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RFM variables revisited using quantile regression
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Semantic technology classification : a defence and security case study
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Companies website optimising concerning consumer's searching for new products