We consider the problem of quickest change-point detection in data streams. Classical
change-point detection procedures, such as CUSUM, Shiryaev-Roberts and Posterior …

Roughly 10 percent of the insurance industry's incurred losses are estimated to stem from
fraudulent claims. One solution is to use tabular data to construct models that can distinguish …

During directional drilling, a bit may sometimes go to a nonproductive rock layer due to the
gap about 20 m between the bit and high-fidelity rock-type sensors. The only way to detect …

The problem of anomaly detection arises in many practical applications. Currently itis highly
important to be able to detect outliers in data streams, as recent years have seen a …

The main aim of this work is to develop and implement an automatic anomaly detection
algorithm for meteorological time-series. To achieve this goal we develop an approach to …

We present the fundamental challenges for dynamic provisioning of big data applications.
The findings are based on our previous experience in this domain, as well as a …

Abstract Build-to-order (BTO) supply chains have become commonplace in industries such
as electronics, automotive and fashion. They enable building products based on individual …

Fraud causes substantial costs and losses for companies and clients in the finance and
insurance industries. Examples are fraudulent credit card transactions or fraudulent claims. It …

The problem of constructing predictive models for early warning systems for diagnostic
maintenance in the aerospace industry is considered. A new approach to predicting rare …

We construct a classification model, that predicts if an earthquake with the magnitude above
a threshold will take place at a given location in a time range 30–180 days from now. A …