Modeling temporal dependence in a sequence of spatial random partitions driven by spanning tree: an application to mosquito-borne diseases
Spatially constrained clustering is an important field of research, particularly when it involves
changes over time. Partitioning a map is not simple since there is a vast number of possible …
changes over time. Partitioning a map is not simple since there is a vast number of possible …
Machine Learning for Forecasting Future Reservations' Ratings: Radisson Blu Seaside in Helsinki
T Nie - 2023 - doria.fi
In the current age of internet and big data, it is imperative for hotels to enhance their online
reputation to remain competitive and profitable. This research presents a new perspective …
reputation to remain competitive and profitable. This research presents a new perspective …