Completeness of data is vital for the decision making and forecasting on Building Management Systems (BMS) as missing data can result in biased decision making down the line. This study creates a guideline for imputing the gaps in BMS datasets by comparing four methods: K Nearest Neighbour algorithm …

Completeness of data is vital for the decision making and forecasting on Building Management Systems (BMS) as missing data can result in biased decision making down the line. This study creates a guideline for imputing the gaps in BMS datasets by comparing four methods: K Nearest Neighbour algorithm …

Het onderzoeken van de correlatie tussen functionele mobiliteit en loopsnelheid bij opname ten opzichte van de ligduur op de GRZ afdeling van patiënten met orthopedische aandoeningen aan de onderste extremiteit. Methode: Dit praktijk onderzoek was een longitudinale observationele pilotstudie. Hierbij …