Browsing by Subject "K-means"
Now showing items 1-3 of 3
-
ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse
(2019-12-10)Machine Learning (ML) has become an essential tool in answering complex predictive analytic queries. Model building for large scale datasets is one of the most time-consuming parts of the data science pipeline. Often data ... -
ENHANCED CUSTOMER DEMAND LOAD PROFILES ESTIMATION ALGORITHMS FOR FIELD APPLICATION
(2016-07-27)Due to the deregulation of the power system, the electric power industry is undergoing a transformation in terms of its planning and operation strategies. Because of the importance in reducing financial and operational ... -
Hyper-optimized Machine Learning and Deep Learning Methods For Geo-spatial and Temporal Function Estimation
(2018-08-13)Owing to a high degree of freedom in human mobility, accurate modelling/estimation of human mobility function remains a challenge. Numerous work in the literature have tried to address the challenge using various traditional ...