A new viral NBA browser game called Six Rings challenges players to build the highest-scoring lineup using a unique box score plus/minus stat called LAKER. The game rewards strategic resets, team ...
Abstract: Outlier mining task is to discover some unusual objects, and however, most existing methods and their mining results lack pertinence. To address the pertinence of outlier results, we propose ...
CANCOR is a multivariate analysis that reveals the co-inertia between two tables that describe the same set of experimental units (or observations) with two different sets of possibly covarying ...
One of the most important activities in data science is defining a membership function in fuzzy system. Although there are few ways to describe membership function like artificial neural networks, ...
Anomaly detection, also called outlier detection, is the process of finding rare items in a dataset. Examples include finding fraudulent login events and fake news items. Take a look at the demo ...
Abstract: This article presents an algorithm to detect outliers in seasonal, univariate network traffic data using Gaussian Mixture Models (GMMs). Additionally we show that this methodology can easily ...
IRFMN, Mario Negri Institute for Pharmacological Research, Via La Masa, 19, 20156 Milano, Italy, and Dipartimento di Chimica Organica e Industriale, Università degli Studi di Milano, Via Venezian 21, ...
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