Data mining is a technique of examining huge quanta of pre-existing data in order to
discover new patterns and relationships among them, which will help to make better …

The time data series of weather stations are a source of information for floods. The study of
the previous wintertime series allows knowing the behavior of the variables and the result …

Data-driven disciplines such as biostatistics and chemometrics are undergoing a period of
transformation propelled by powerful advances in computational hardware, parallel …

Anomaly detection in a dynamic data stream is a challenging task. The endless bound and
high arriving rate of data prohibits anomaly detection models to store all observations in …

Reliable estimations of the evolution of water quality parameters by using in situ
technologies make it possible to follow the operation of a wastewater treatment plant …

In many knowledge discovery applications, finding outliers, ie objects that behave in an
unexpected way or have abnormal properties, is more interesting than finding inliers in a …

Cervical cancer is a form of cancer that forms in the cervix area. Majority of this form of
cancer are related to human papillomavirus infection. Cervical cancer is linked with a …

Speeding problem detection in business surveys: benefits of statistical outlier detection
methods 1. Introduction Page 1 Croatian Operational Research Review 33 CRORR 8(2017) …

Growing health risks has brought up remarkable impact in the mind of people to find the
most important factors responsible for diseases like diabetes, heart disease and so on. In …

Abstract Context: The UV-Vis absorbance collection using online optical captors for water
quality detection may yield outliers and/or missing values. Therefore, data pre-processing is …