Algorithmic trading and short-term forecast for financial time series with machine learning models; state of the art and perspectives
Stock price prediction with machine learning is an oft-studied area where numerous
unsolved problems still abound owing to the high complexity and volatility that technical …
unsolved problems still abound owing to the high complexity and volatility that technical …
Cybersecurity Education within a Computing Science Program-A Literature Review
The importance of cybersecurity education within a computer science program is greater
than ever in today's rapidly advancing technological landscape. In order to protect sensitive …
than ever in today's rapidly advancing technological landscape. In order to protect sensitive …
Software development using agile and scrum in distributed teams
Agile software development practices, like Scrum, that allow teams to focus on delivering
product and improved communication has made it one of the easiest and best software …
product and improved communication has made it one of the easiest and best software …
Forecasting of stock prices using machine learning models
Stock price prediction with machine learning is an oft-studied area where numerous
unsolved problems still abound owing to the high complexity and volatility that technical …
unsolved problems still abound owing to the high complexity and volatility that technical …
Estimation of Hourly Utility Usage Using Machine Learning
A Wong, C Chiu, A Abdulgapul, MN Beg… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
The COVID-19 pandemic has had a major impact on the usage of various utilities. To assess
the impact, this research explores the (baseline) estimation of hourly utility usage if the …
the impact, this research explores the (baseline) estimation of hourly utility usage if the …
Data Extraction, Transformation, and Loading Process Automation for Algorithmic Trading Machine Learning Modelling and Performance Optimization
A data warehouse efficiently prepares data for effective and fast data analysis and modelling
using machine learning algorithms. This paper discusses existing solutions for the Data …
using machine learning algorithms. This paper discusses existing solutions for the Data …
DW vs OLTP Performance Optimization in the Cloud on PostgreSQL (A Case Study)
D Joiner, M Clement, ST Chan… - … on Recent Advances …, 2022 - ieeexplore.ieee.org
This case study shows the performance issues and solutions for a data warehouse (DW)
performing well to serve industrial partners in improving customer data retrieval …
performing well to serve industrial partners in improving customer data retrieval …
Pan-institutional applied research within undergraduate and post-degree diploma teaching programs
Many undergraduate students' applied research projects (projects) are conducted within the
computer and computing science departments of colleges and universities [24, 36]. Every …
computer and computing science departments of colleges and universities [24, 36]. Every …
Ten years of capstone projects at okanagan college: A retrospective analysis
Y Khmelevsky - Proceedings of the 21st Western Canadian Conference …, 2016 - dl.acm.org
In this paper we discuss ten years of teaching of" Projects in Computer Science"(COSC
224)," Software Engineering" with the following" Software Engineering Project" capstone …
224)," Software Engineering" with the following" Software Engineering Project" capstone …
Automatic code generation within student's software engineering projects
Y Khmelevsky, G Hains, C Li - Proceedings of the Seventeenth Western …, 2012 - dl.acm.org
In this paper, we describe the integration of research and new teaching strategies into
computer science and engineering departments at universities and colleges related to the …
computer science and engineering departments at universities and colleges related to the …