Browsing MSc Business Analytics by Title

Accident Severity Modelling of Road Accidents in the UK using Random Forest, Decision Tree and Multinomial Regression

Abdul Azeez Mohamed Rifan, Mohamed Rafhan (IIT, 2023)

Accidents causes considerable cost in terms of human life and financial costs every day. There is various research taken place to control the severity of the accidents. The data of accidents are being collected by various ...

Agricultural Crop Recommendation using Weather Data

Amarasekara, Upeksha (2022)

"In the research it developed a model that uses historical data from several weather stations in Sri Lanka to train and test which produce more accurate prediction for specific region in near future in a short amount of ...

Analysing the brand popularity of Sri Lankan banks on social media engagement predict the most effective post time

Ratnakumar, Dhayalni (2021)

" Being a part of social media is a current trend all over the world. Therefore, customers are demanding the services of banks via social media platforms. But still, Sri Lankan banks are new in adopting social media ...

An Analysis of Inter-terminal Technical Productivity of Port of Colombo.

Liyanaarachchi, Charith (IIT, 2023)

Transportation is one of the robust factors which affects the development of a nation and is an impeccable segment that influences national integration and the world economy as a whole. Out of it, the maritime industry ...

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 ...

Analytical Models for Hotel Revenue Management: A Case Study

Biyanwila, Chathuni (2020)

In this research, aim was to forecast daily number of guest arrivals for a boutique villa and to use machine learning methods to predict the room sell rate and to find most robust models for each task. Historical daily ...

Analyzing the sentiment of social media images in hospitality domain using object identification on caption generation

Boda Hennadige, Sandaru (2022)

"With the advancement of hardware and the stepping up of social media worldwide, the number of images and videos shared on these platforms has increased massively. Therefore, organizations that are interested in their brand ...

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 ...

Application of Visual Sentiment Analysis for Promotion of Tourism Destinations

Suhail, Fathima Sumaiya (IIT, 2023)

The advancement of the world wide web from its infancy of Web1.0 with read-only web pages allowing minimal interaction to the Web 2.0 which brough more a collaborative era for the internet, I have observed the emergence ...

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 ...

Automated Teller Machine Failure Prediction on Time Series Data

Dharmasiri, Kavinda Vishan (2020)

Automated Teller Machines (ATM) have revolutionized the way banking services are delivered to its customers. ATM installation, operation and maintenance costs have lead banks to focus more on reducing the ATM failures and ...

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 ...

Comparison of Machine Learning Techniques in Demand Forecasting for Imported Food Items in Retail Industry: A Study on a Supermarket Chain in Sri Lanka

Gunasekera, Lakna (2022)

"Managing consistent product availability of imported food items while cost effectively managing inventory is a challenge for supermarket chains. This has been a real challenge with the number of macroeconomic factors ...

Corona ( Covid - 19 ) patient prediction approach

Caldera, Nuwan (2022)

The Covid 19 virus is a deadly virus that has currently spread around the world. This report entails a solution to prevent this virus. It includes an introduction with the problem domain, project aims and objectives in ...

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, ...

Customer churn prediction model for a leading telecommunication company in Sri Lanka

Gamage, Sasanka Chamara Kananke (2021)

" One of the major pain points which telecommunication companies are facing is the higher number of customer churn which is currently around 4% .Due to saturated telecommunication market it has led to a fierce competition ...

Data mining and social media analysis for marketing purposes. Case study: Sri Lanka travel Facebook fan page.

Parameswaran, Sangayathri (2022)

Social media are currently an essential marketing tool for the majority of the organizations. In April 2022, Facebook (82.03 %), Twitter (6.14 %), Pinterest (2.33 %), YouTube (7.64 %), Instagram (1.195 %), and reddit are ...

Delivery Capability Prediction in Iterative software Development during Mid Sprint

Mohamed, Shareefa Mareyam (2020)

Agile methodology or framework which is an iterative software development method has increased the rate of success of a software project in most of the companies tremendously over the past few years. Fast delivery, on-time ...

Detecting Money Laundering & Fraudulent Activities in Online Ordering Platforms

Perera, Ponnambaduge Surath Chathumal (2021)

" Since the advent of e-commerce, we have had access to online marketplace and restaurant platforms at the tip of our fingertips. Nowadays, online ordering platforms play a significant role in daily life, especially ...

Detection of Fraud Invoices using Image Classification | Case Study on Healthcare Invoices

Perera, Nipuni (2022)

"The insurance organizations, need to manage invoices, and transactions regarding healthcare insurance, among others. Customers those who are insurance holders need to hand over the invoices to the agents of the insurance ...

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