Machine Learning

System Properties Based Malware Detection using Machine Learning
It was the objective of this research to detect malware based on system properties using machine learning algorithms.
Faithful Chiagoziem OWNUEGBUCHE
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System Properties Based Malware Detection using Machine Learning
Blockchain Technologies for Financial Inclusion in Nigeria
This talk explored the utilization of blockchain technologies in achieving financial inclusion in Nigeria.
Nov 26, 2019 1:00 PM Department of Computing Science and Mathematics, University of Stirling, United Kingdom.
Faithful Chiagoziem OWNUEGBUCHE
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Blockchain Technologies for Financial Inclusion in Nigeria
Value-at-Risk Measurement Incorporating Sentiments from Financial Tweets for Risk Analysis of Nigerian Banks
This study measured the value-at-risk (VaR) of five Nigerian banks using an innovative approach of incorporating sentiments from financial tweets.
Faithful Chiagoziem OWNUEGBUCHE
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Value-at-Risk Measurement Incorporating Sentiments from Financial Tweets for Risk Analysis of Nigerian Banks
Support Vector Machine for Sentiment Analysis of Nigerian Banks Financial Tweets
This study applied a machine learning technique (support vector machine) for sentiment analysis of Nigerian banks’ Twitter data within 2 years, from 1st January 2017 to 31st December 2018.
Faithful Chiagoziem OWNUEGBUCHE, Joseph Muliaro Wafula, Joseph Kyalo Mung'atu
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Support Vector Machine for Sentiment Analysis of Nigerian Banks Financial Tweets
Application of Support Vector Machine for Sentiment Analysis of Nigerian Banks Financial Tweets
A poster presentation that highlights the applicability of Support Vector Machine in sentiment analysis of Nigerian banks financial tweets.
Aug 25, 2019 — Aug 31, 2019 Kenyatta University, Nairobi, Kenya.
Faithful Chiagoziem OWNUEGBUCHE
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Application of Support Vector Machine for Sentiment Analysis of Nigerian Banks Financial Tweets