MSc Research Projects

Neil    (2020). Win, Lose or Draw, Semantic Analysis of Twitter Football Fans

Oswell  Hita  (2020). Application of data analytics techniques to produce a reagent control philosophy in PGM flotation circuits.

Stephen  (2020). Histopathologic cancer detection utilising Convolutional Neural Networks

Pat  Tyrrell  (2020). Extracting similarity in sentences extracted from medical journals:

John  (2019). Data science methods for drug repurposing and hypothesis expansion using literature-based Discovery

Vincent  English  (2019). A Twitter study into how sentimental the British are about Brexit and the predictive ability of neural networks

Jirapon  Sunkpho  (2019). Thai Words Segmentation using Unsupervised Learning Technique

Alan Farrell (2019) Prediction of Sleep Duration and Sleep Quality in the General Population

Brian  Meehan  (2019 ). Using Feature Metadata to Improve Class-dependent Feature Selection for Imbalanced Data with High Dimensionality and Lack of Information

(2019) Using Feature Metadata to Improve Class-dependent Feature Selection for Imbalanced Data with High Dimensionality and Lack of Information

Rory  (2018). Prediction of student academic performance using Moodle data from a Further Education setting

Sylwia  Sosinska  (2018). Automated topic modelling on Irish and English politicians’ speeches in terms of their sentiment towards Brexit

Sergio  De Vega Gomez  (2017). Performance Comparison of Fuzzy vs. Non Fuzzy Clustering and Classification algorithms

Brian  (2017). Sentiment analysis and comparison of public bike sharing schemes in different geographical regions

David  Moore  (2017). Internet of Things, Applied Data Science, and measurement interval

Mirko  Schinck  (2017). Analysis of a Large Spirits Online Shop and its Customer Behaviour

Pamela  Yourell  (2016). Do gender and the presence of children have an influence on telecommuting practices?

(2015 ). Travel Time as a Proximity Measure for Geo-Spatial K-Means Clustering

Saravana  Kumar  (2015). Crime data analysis for the city of Chicago

Lukasz  Mazur  (2015). WEB MINING FOR PRODUCTS PRICES COMPARISON BETWEEN DIFFERENT COUNTRIES

Mulluken Nega  Wondie  (2015).  Effectiveness of term weighting approaches for sparse social media text sentiment analysis

Izabela  Wowczko  (2015). Skills and Vacancy Analysis with Data Mining Techniques

Daniel  (2014). Measuring access to public health care services for children within Ireland

Caroline  Ryan  (2014). An investigation into unsupervised outlier detection methods for the detection of dirty data and the impact of their use on data mining results.

Igor  Wodyk  (2014). Email Average Handle Time Prediction Analysis

Patrick  Mannix  (2013). The Value Of Sentiment Analysis On Social media Customer Interactions In A telecommunications Environment

Athanasios  Paraskevas  (2013). Ensemble machine learning techniques for numeric prediction in health domain

Spiridon  Paraskevas  (2013). Modern Regression and Model selection techniques: Numerical Prediction in Healthcare

Peter  Brennan  (2012). A comprehensive survey of methods for overcoming the class imbalance problem in fraud detection

Andrew  Chisholm  (2012). AN INVESTIGATION INTO ZIPF’S LAW AND THE EXTENT OF ITS USE IN AUTHOR ATTRIBUTION