Publicaties
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Evaluation of stream processing frameworks Universiteit Gent
Acquisition modeling in the nonprofit sector based on Facebook data Universiteit Gent
This research investigates whether Facebook data can be used to predict donation behavior. On the basis of individual specific Facebook data (i.e. Facebook groups, pages, and page categories), we build an acquisition model that predicts an individual’s likelihood to become a donor. Three different classification algorithms are being compared, namely Bagging, Random Forest and Adaboost. Furthermore, by constructing different models, we assess the ...
Judgmental forecast adjustments over different time horizons Universiteit Gent KU Leuven
Latency measurement of fine-grained operations in benchmarking distributed stream processing frameworks Universiteit Gent
This paper describes a benchmark for stream processing frameworks allowing accurate latency benchmarking of fine-grained individual stages of a processing pipeline. By determining the latency of distinct common operations in the processing flow instead of the end-to-end latency, we can form guidelines for efficient processing pipeline design. Additionally, we address the issue of defining time in distributed systems by capturing time on one ...
Evaluating the importance of different communication types in romantic tie prediction on social media Universiteit Gent
The added value of social media data in B2B customer acquisition systems : a real-life experiment Universiteit Gent
Identifying soccer players on Facebook through predictive analytics Universiteit Gent
Bluetooth tracking of humans in an indoor environment : an application to shopping mall visits Universiteit Gent
Predicting consumer load profiles using commercial and open data Universiteit Gent
Automated Metering Infrastructure (AMI) has gradually become commonplace within the utilities industry and has brought with it numerous improvements in all related fields. Specifically in tariff setting and demand response models, classification of smart meter readings into load profiles helps in finding the right segments to target. This paper addresses the issue of assigning new customers, for whom no AMI readings are available, to one of ...