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Development of a forecasting model to determine the interest rate in the Sri Lanka - an approach based on the 91-day treasury bill rate

Kotelawala, Theodore (2022)

"With the increased level of economic development and growth and the need for government, corporations, and individuals alike to borrow in order to spur economic and business growth, the requirement to accurately forecast ...

Multimodal Sentiment analysis of e-commerce Data by Reviewing Products using Machine Learning Techniques

Soundearajah, Sahithya (2022)

Digital ratings are crucial in improving international customer communications and impacting consumer purchasing trends. To obtain important data from a massive number of customer reviews, they must be sorted into positive ...

An analysis of the impact on employee well- being and productivity in the new normal era: A study based on corporate employees employed within the western province and suburbs of Sri Lanka.

Nedumaran, Raksheika (2022)

"Employee wellbeing is one of the chunkiest sector that most organisations focus on, especially during the past three years that has changed completely. Moreover, it has been proven that employee wellbeing does impact the ...

Test case priority prediction using text analytics and machine learning algorithms

Wanduramba Hewage, Kinkini Indunil Erangi (2022)

"This research focuses on test case prioritization using keyword similarities in the test cases. If there are two test cases with similar words, they would put into the same category of priority. High prioritized test cases ...

Mixed integer linear programming approach to optimize labor scheduling with respect to employee preference

Porage, Thanu (2022)

"Due to the wide range of applications, the relevance of optimization systems is growing. Hence, there is great interest in efficient optimized planning methods. Mixed-Integer Programming is a powerful tool for modeling ...

Using machine learning technique for predict the success of telemarketing

Jeganathan, Thadshayini (2022)

This study focused on predict success of telemarketing using machine learning algorithms. Main aim of this study is find, how to use machine learning technique (Supervised as well as unsupervised) for analysis and making ...

Heart disease prediction using machine learning and data mining techniques

De Silva, Biyanka (2022)

"In this research project, the overall research and the project implementation is focused on predict a heart failure or a disease based on Machine Learning, Data Mining Techniques make use of particular dataset. The heart ...

Medical claims rejection Prediction Using Classification Models

Halambage Don, Kanishka (2022)

"The latest healthcare industry is reported that one in every seven claims for health insurance in the United States is refused; the amount of money that hospitals and health care providers across the country lose due to ...

Forecasting sales of fast-moving consumer goods using machine learning methods : a case study

Adhikari, Chandeep (2022)

"FMCG product sales are one of the fastest growing market segments with an equally fast offtake. As the name implies these are products which have a very short shelf life and a very high demand. The global FMCG market ...

Customer churn prediction in the bank sector : a study based on credit card users

Mohotti Bandara Rathnayake Mudiyanselage, Kaushali Thripathy (2022)

"In the banking industry, technological advancement has been accelerating at a rapid rate as of late. To better manage their financial and property assets, people all around the world use banking services. At this point, ...

A Predictive Analysis on Brain Drain Among Qualified Accountants in Sri Lanka: A Study Based on the Professional Members of the Institute of Chartered Accountants of Sri Lanka

Li, Virochan (2022)

" Predictive analytics with the use of machine learning is currently being used in a vast range of domains and has been in existence for a considerable amount of time. The advancements in technology have only aided the ...

Bank loan approval prediction using machine learning approach : evidence from Sri Lanka

Sriranganathan, Kiruchikka (2022)

" ABSTRACT Nowadays, commercial banks are experiencing a tremendous increase in loan demand. Loan Originators and Loan Approval Officials have a big obligation to make sure that all applicants are eligible and get the ...

Predicting Network Traffic Malware Using Machine Learning

Kannangara, Vajra (2022)

This thesis paper aims in finding if the malicious network traffic can be predicted by using machine learning techniques. As this research uses two classes, it’s about predicting a network traffic is a malicious or not. ...

Auto Insurance Customer Prediction

Jayan, Eksara (2022)

"This research paper discusses the use of machine learning in the insurance industry. Literary review was done on customer churning, insurance sales forecast and future customer prediction using Machine Learning. By selecting ...

Predicting solvency risk of public listed companies of Sri Lanka in tourism industry with reference to the impact of corona virus pandemic using machine learning

Livera, Lukshani (2022)

The aim of the study was to examine how coronavirus pandemic has impacted the solvency risk faced by the publicly listed companies in the Colombo Stock Exchange who are operating in the tourism industry. The main research ...

The application of machine learning to predict the revenue & significant factors that impact it with special reference to dessford estate

Ladduwahetty, Lasanthi (2022)

"Machine learning techniques are becoming increasingly popular around the world. However, when considering Sri Lanka’s Tea industry; this area or its application is very limited. The aim of this study is to use machine ...

Sri Lankan job seeker's interest and job advertisement's description matching using machine learning techniques

Muthukumarasamy, Flora Lakshinee (2022)

"Amidst the heavy competition in the employment market to secure a job that matches with one’s qualifications, it is quite a task to seek one’s dream job. Apart from the unavailability of vacancies, a jobseeker encounters ...

Predicting the click - through for email marketing campaigns in B2B e-commerce sector

Ariyasena, Amila Akalanka (2022)

"Email is one of the most popular and frequently used marketing channels to communicate with existing and potential customers in B2B and B2C markets. With the increased use of email as a main channel in marketing, many ...

Exploring LMS interaction data and prediction of students grades using standard supervised classification algorithms

Perera, Pasangi (2022)

"Higher education providers receive government funding based on graduate completion rather than student enrollment. As a result, incomplete or delayed degree completion is a major source of concern for higher education ...

Identify customer segments in the supermarket retail sector of Sri Lanka using Machine Learning techniques.

Martel, Dexter (2022)

This research is built around the application of Machine Learning technologies to the supermarket retail sector in Sri Lanka. Two areas identified for the study: Customer Segmentation for the application of Unsupervised ...

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