Understanding energy consumption patterns is crucial for energy demand-side
management. Unlike traditional data mining or machine learning-based methods, this paper …

Item ranking systems support users in multi-criteria decision-making tasks. Users need to
trust rankings and ranking algorithms to reflect user preferences nicely while avoiding …

Projection and ranking are frequently used analysis techniques in multi-attribute data
exploration. Both families of techniques help analysts with tasks such as identifying …

Global investors have been allocating resources for developing quantitative credit risk
models for forecasting credit risk and estimating the cost associated with defaults in order to …