Climate change has become a growing problem globally, and the analysis of datasets to identify patterns and anomalous behaviour with
Category: Data Science
Tracing historical paths: An intelligent AR guide
This study focuses on investigating the use of artificial intelligence (AI) techniques and technologies in a smartphone experience to assist
Using evolutionary algorithms for DFA learning
Grammatical inference is the task of learning a formal grammar or class description from a set of training examples. This
Predicting links in a social network based on recognised personalities
Link prediction has become a ubiquitous presence in online social networks (OSNs). A prominent example is the ‘People You May
Analysis of police-violence records through text mining techniques
This research applies data mining techniques to the ‘Mapping Police Violence’ dataset, which provides information on every individual killed by
A data-analytic approach to property price prediction, influenced by geographic elements
Property sales in Malta throughout the COVID-19 pandemic, topped €3 billion in 2020, surpassing 2019 figures [1]. Despite this rise
Change detection in semi-structured documents
In digital forensics investigations it is sometimes required to sift and analyse a large number of documents submitted as evidence.
Implementations of the state-merging operator in DFA learning
DFA learning is the process of identifying a minimal deterministic finite-state automaton (DFA) from a training set of strings. The
A DFA-learning toolkit
Grammatical inference is the task of finding a formal grammar or class description from a training set. This project is