Files included below: -- apriori.py -- inputs.csv --> the raw dataset in csv format. -- inputs1.xls --> dataset sample after initial pre-processing. -- tab2.csv --> the pre-processed dataset in csv ...

It is the source code to support experiments performed for the article "Leveraging A-priori Knowledge in Predictive Business Process Monitoring" by Chiara Di Francescomarino and Chiara Ghidini and ...

Abstract: It sometimes happens (for instance in case control studies) that a classifier is trained on a data set that does not reflect the true a priori probabilities of the target classes on ...

Real-time brain functional MRI (rt-fMRI) allows in vivo non-invasive monitoring of neural networks. The use of multivariate data-driven analysis methods such as independent component analysis (ICA) ...

Abstract: Interconnect prediction is very important for early feasibility studies in modern design flows. Most of the current interconnect estimation techniques estimate either the average or the ...

We consider an open question in applied price theory: Without a priori knowledge of a firm's cost function or a consumer's indirect utility function, it is possible to estimate price and substitution ...