261 citations
- North Dakota State UniversityUS12 papers
- The University of Texas at ArlingtonUS5 papers
- Wells Fargo (United States)US4 papers
- Arkansas Tech UniversityUS3 papers
- Eastern New Mexico UniversityUS3 papers
- Institute for Computational Science and TechnologyVN3 papers
- People’s UniversityIN2 papers
- University of Southern MississippiUS2 papers
- Black Hills State UniversityUS1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Concordia College - MinnesotaUS1 paper
- Institut de Planétologie et d'Astrophysique de GrenobleFR1 paper
6 papers · 1 filter
Fake News and Phishing Detection Using a Machine Learning Trained Expert System
Benjamin Fitzpatrick, Xinyu "Sherwin" Liang, Jeremy Straub
Expert systems have been used to enable computers to make recommendations and decisions. This paper presents the use of a machine learning trained expert system (MLES) for phishing…
A data-science-driven short-term analysis of Amazon, Apple, Google, and Microsoft stocks
Shubham Ekapure, Nuruddin Jiruwala, Sohan Patnaik +1
In this paper, we implement a combination of technical analysis and machine/deep learning-based analysis to build a trend classification model. The goal of the paper is to apprehen…
Consideration of the Need for Quantum Grid Computing
Dominic Rosch-Grace, Jeremy Straub
Quantum computing is poised to dramatically change the computational landscape, worldwide. Quantum computers can solve complex problems that are, at least in some cases, beyond the…
Moderating effects of retail operations and hard-sell sales techniques on salesperson's interpersonal skills and customer repurchase intention
Prathamesh Muzumdar, Ganga Prasad Basyal, Piyush Vyas
Salesperson's interpersonal skills have always played an important role in influencing various stages of customer's purchase decision. With the increase in retail outlets and merch…
A Practical Two-Sample Test for Weighted Random Graphs
Mingao Yuan, Qian Wen
Network (graph) data analysis is a popular research topic in statistics and machine learning. In application, one is frequently confronted with graph two-sample hypothesis testing…
A practical test for a planted community in heterogeneous networks
Mingao Yuan, Qian Wen
One of the fundamental task in graph data mining is to find a planted community(dense subgraph), which has wide application in biology, finance, spam detection and so on. For a rea…