… edge-centric parametric predictive analytics methodology, which contributes to real-time
regression … instead of raw data obtaining high analytics quality. Moreover, sophisticated model …

… i) provide services to regression & exploratory queries issued … to the EGs for efficient model
selection and sophisticated … the first edge-centric, real-time, and communication efficient …

… The efficient management and allocation of incoming analytics queries as well as the …
proposed an edge-centric query allocation and execution mechanism for analytics queries based …

… We provide an analysis to determine which regression models … to this methodology with
different regression models, such as cached models. … Edge-centric efficient regression analytics …

… regression analysis at the network edge where they defined algorithms for building regression
… is one of the most effective matrices for assessing predictions for regression models. This …

… Through a large set of experiments and a numerical analysis, … Through analytics, one can
support the efficient decision … a stream of analytics queries (eg, estimating the regression plane …

… analytics based on the needs of our Industrial Partner. Section IV presents our edge-centric …
RELATED WORK The current focus on edge-centric in IoT systems supports high efficiency …

… a mechanism to enable edge-centric analytics towards latencyefficient network optimisation.
… The conclusion chapter presents the importance of privacy-efficient local learning and ana…

… of edge-centric collaborative … regression analytics tasks in-network accessible from the
back-end-system while, at the same time, maximizing network efficiency and quality of analytics. …

… for classification, clustering, and regression analysis are used for predictive modeling. …
management, and garbage collection for efficient storage resource utilization in cloud data centers…