collected at the scene. Outcomes were measured during a three month follow-up. The data were analyzed with modern data mining …

, anda perceived potential of data mining for uncovering patterns and relationships notidentified by the traditional top … produces fairly good forecasts ofthe variance of the execution shortfall. The second, bottom-up, or data mining,approach is … data mining for the analysis and modelling of stockmarket order submissions. …

for calendar effects produces robust data-mining results. Unfortunately, attempts to control for a large number of …

Sharing data among organizations often leads to mutual benefit. Recent technology in data mining has enabled efficient …

prices. This paper proposes a data mining based electricity price forecast framework, which can predict the normal price as … forecast model, while the spikes are forecasted based on a data mining approach. This paper focuses on the spike prediction and …