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Scalable Machine Learning Algorithms in Parallel Database Systems Exploiting A Data Summarization Matrix
Data summarization is an essential mechanism to accelerate analytic algorithms on large data sets. In this work we present a comprehensive data summarization matrix, namely the Gamma matrix, from which we can derive ...
Cluster Validation of WHAN Galaxy Classification Using a Novel Approach To External Cluster Validation
The classification of galaxies is traditionally carried out using human-eye analysis of morphology or through information provided by a large survey of galaxies. Clustering methods can reduce the effort of manual classification ...
Big Data Analysis of Complex Networks Using Machine Learning Methods
With the tremendous development of the modern complex networks such as smart grid and wireless communication domains, the data analysis tasks are significantly involved. In smart grid systems, there are emerging concerns ...