As clean water can be considered among the essentials of human life, there is always a
requirement to seek its foremost and high quality. Water primarily becomes polluted due to …

Personal credit scoring is the application of financial risk forecasting. It becomes an even
important task as financial institutions have been experiencing serious competition and …

The creation of a predictive system that correctly forecasts future changes of a stock price is
crucial for investment management and algorithmic trading. The use of technical analysis for …

Interval-valued time series are interval-valued data that are collected in a chronological
sequence over time. This paper introduces three approaches to forecasting interval-valued …

Electric power demand forecasts play an essential role in the electric industry, as they
provide the basis for making decisions in power system planning and operation. A great …

This research develops a weighted evolving fuzzy neural network for monthly electricity
demand forecasting in Taiwan. This study modifies the evolving fuzzy neural network …

This paper introduces symbolic data analysis, explaining how it extends the classical data
models to take into account more complete and complex information. Several examples …

This chapter provides an overview of surveys of professional forecasters, with a focus on the
US Survey of Professional Forecasters and the European Central Bank Survey of …

The k-nearest neighbor (k-NN) method was evaluated to predict the influent flow rate and
four water qualities, namely chemical oxygen demand (COD), suspended solid (SS), total …

This paper examines point and density forecasts of real GDP growth, inflation, and
unemployment from the European Central Bank's Survey of Professional Forecasters. We …