no code implementations • 18 Sep 2017 • Avishek Bose, Arslan Munir, Neda Shabani
In this paper, we present a comprehensive literature review of existing big data clustering algorithms and their advantages and disadvantages for various use cases.
no code implementations • 12 Jul 2019 • Avishek Bose, Vahid Behzadan, Carlos Aguirre, William H. Hsu
We present a new machine learning and text information extraction approach to detection of cyber threat events in Twitter that are novel (previously non-extant) and developing (marked by significance with respect to similarity with a previously detected event).
no code implementations • 14 Dec 2020 • Adedolapo Okanlawon, Huichen Yang, Avishek Bose, William Hsu, Dan Andresen, Mohammed Tanash
We present a supervised learning model trained on a Simple Linux Utility for Resource Management (Slurm) data set of HPC jobs using three different techniques for selecting features: linear regression, lasso, and ridge regression.