Search Results for author: Avishek Bose

Found 3 papers, 0 papers with code

Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support

no code implementations14 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.

Feature Selection

A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams

no code implementations12 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).

Event Detection

A Comparative Quantitative Analysis of Contemporary Big Data Clustering Algorithms for Market Segmentation in Hospitality Industry

no code implementations18 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.

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