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Articles 1 - 16 of 16
Full-Text Articles in Computer Engineering
Semantic Models As Knowledge Repositories For Data Modellers In The Financial Industry, Gary Thompson
Semantic Models As Knowledge Repositories For Data Modellers In The Financial Industry, Gary Thompson
Dissertations
Data modellers working in the financial industry are expected to use both technical and business knowledge to transform data into the information required to meet regulatory reporting requirements. This dissertation explores the role that semantic models such as ontologies and concept maps can play in the acquisition of financial and regulatory concepts by data modellers. While there is widespread use of semantic models in the financial industry to specify how information is exchanged between IT systems, there is limited use of these models as knowledge repositories. The objective of this research is to evaluate the use of a semantic model …
Evaluating The Usability Of The Laboratory Information System (Lis) In Coombe Hospital And Hail Hospital, Fahad Alanazi
Evaluating The Usability Of The Laboratory Information System (Lis) In Coombe Hospital And Hail Hospital, Fahad Alanazi
Dissertations
Today, with the rapid evolution of technology, there has also been a rapid development of medical software and systems in hospitals. These systems and software are now being used globally in many hospitals by users of different languages and cultures. Governments and private hospitals pay large sums of money to utilise highly efficient technology. When systems are changed or updated, employees often find it difficult to deal with the characteristics of the new systems. Also, behavioral factors, such as the fear of committing simple errors, might affect system performance and prevent the full utilization of the staff potential. In this …
A Novel And Domain-Specific Document Clustering And Topic Aggregation Toolset For A News Organisation, Claire Mcmahon
A Novel And Domain-Specific Document Clustering And Topic Aggregation Toolset For A News Organisation, Claire Mcmahon
Dissertations
Large collections of documents are becoming increasingly common in the news gathering industry. A review of the literature shows there is a growing interest in datadriven journalism and specifically that the journalism profession needs better tools to understand and develop actionable knowledge from large document sets. On a daily basis, journalists are tasked with searching a diverse range of document sets including news gathering services, emails, freedom of information requests, court records, government reports, press releases and many other types of generally unstructured documents. Document clustering techniques can help address problems of understanding the ever expanding quantities of documents available …
An Exploration Of The Use Of Gamification In Agile Software Development, Alan Mcclean
An Exploration Of The Use Of Gamification In Agile Software Development, Alan Mcclean
Dissertations
Although Project Management has existed for many millennia, software project management is relatively new. As a discipline, software project management is considered difficult. The reasons for this include that software development is non-deterministic; opaque and delivered under ever-increasing time pressure in a volatile environment. Evolving from Incremental and Iterative Development (IID), Agile methodologies have attempted to address these issues by focusing on frequent delivery; working closely with the customer; being responsive to change and preferring working software to extensive documentation. This focus on delivery rather than documentation has sometimes been misrepresented as no documentation, which has led to a shortfall …
An Understanding Of Student Satisfaction, Lorraine Sweeney
An Understanding Of Student Satisfaction, Lorraine Sweeney
Dissertations
Retention is a challenge for all third level institutions and retention rates remain higher than colleges would like them to be, this has intensified in recent years as participants in higher education has increased and diversified. Third level institutions which would not only benefit from increased fees but also through low cost word of mouth promotion and an enhanced reputation. As such, an important concern for colleges is retaining students and understanding the reasons why students may choose to leave a program. While student satisfaction and retention is a well researched topic there remains questions to be answered in terms …
An Evaluation Of Selection Strategies For Active Learning With Regression, Jack O'Neill
An Evaluation Of Selection Strategies For Active Learning With Regression, Jack O'Neill
Dissertations
While active learning for classification problems has received considerable attention in recent years, studies on problems of regression are rare. This paper provides a systematic review of the most commonly used selection strategies for active learning within the context of linear regression. The recently developed Exploration Guided Active Learning (EGAL) algorithm, previously deployed within a classification context, is explored as a selection strategy for regression problems. Active learning is demonstrated to significantly improve the learning rate of linear regression models. Experimental results show that a purely diversity-based approach to
Eliciting Knowledge Bases With Defeasible Reasoning: A Comparative Analysis With Machine Learning, Peter Keogh
Eliciting Knowledge Bases With Defeasible Reasoning: A Comparative Analysis With Machine Learning, Peter Keogh
Dissertations
This thesis compares the ability of an implementation of Defeasible Reasoning (via Argumentation Theory) to model a construct (mental workload) with Machine Learning. In order to perform this comparison a defeasible reasoning system was designed and implemented in software. This software was used to elicit a knowledge base from an expert in an experiment which was then compared with machine learning. The central findings of this thesis were that the knowledge based approach was better at predicting an objective performance measure, time, than machine learning. However, machine learning was better equiped to identify another object measure task membership. The knowledge …
Maturity Of Cloud Application Interoperability Frameworks For Small To Medium Enterprises, John Warde
Maturity Of Cloud Application Interoperability Frameworks For Small To Medium Enterprises, John Warde
Dissertations
Cloud computing has many benefits and organisations have bought into the cost effective and elastic solutions provided by major players in the market. However, cloud computing and Cloud Service Providers (CSP) are still evolving, hence there are differences in how customers connect with each provider to the orchestrate application lifecycle management. A lack of standards can create vendor lock-in. This work investigates current research and possible solutions to the vendor lock-in problem through the use of Cloud Interoperability or multi-cloud frameworks. Software developers and organisations can use these frameworks which abstract the differences between CSPs and mitigate vendor lock-in. A …
An Evaluation Of The Use Of Diversity To Improve The Accuracy Of Predicted Ratings In Recommender Systems, Gillian Browne
An Evaluation Of The Use Of Diversity To Improve The Accuracy Of Predicted Ratings In Recommender Systems, Gillian Browne
Dissertations
The diversity; versus accuracy trade off, has become an important area of research within recommender systems as online retailers attempt to better serve their customers and gain a competitive advantage through an improved customer experience. This dissertation attempted to evaluate the use of diversity measures in predictive models as a means of improving predicted ratings. Research literature outlines a number of influencing factors such as personality, taste, mood and social networks in addition to approaches to the diversity challenge post recommendation. A number of models were applied included DecisionStump, Linear Regression, J48 Decision Tree and Naive Bayes. Various evaluation metrics …
Investigating The Relationship Between Organizational Innovation Capability And Firm Performance With Irish Smes, Maryam Bukhamsin
Investigating The Relationship Between Organizational Innovation Capability And Firm Performance With Irish Smes, Maryam Bukhamsin
Dissertations
The topic of innovation capability and its relationship with performance has been examined by several previous studies. The purpose of this thesis is to investigate the relationship between innovation capability aspects proposed by the Innovation Value Institute (IVI) and firms’ overall performance. IVI is specialised in developing organizational and innovation capability in order to improve firms’ performance. In addition, this study presents the most important aspects of innovation capability that are directly and positively associated with firms’ overall financial and operational performance. This empirical study was conducted on small- and medium-sized enterprises (SMEs) in Ireland; the data was collected from …
Investigating Correlation Between Availability Of Free Time Facilities For Pupils And Their Educational Achievements While Exploiting Linked Data And Volunteered Geographic Information, Peter Kovar
Dissertations
The advent of Semantic Web as an extension of the current World Wide Web (Web) brings methods and technologies to structure the data, interlink it with other related data and capture its semantics. This holds for new data to be published as well as for the data already on the Web. The interlinking of data led to definition of a linked data paradigm and the Semantic Web allows for creating a Global Linked Data Space. The linked data sets can combine data coming from heterogeneous sources. Using ontologies the meaning in data from different areas of interest can be compared …
Exploring The Impact That Organisational Culture And Structures Have On Knowledge Management Initiatives, Gavin Digan
Exploring The Impact That Organisational Culture And Structures Have On Knowledge Management Initiatives, Gavin Digan
Dissertations
The project builds on research in the domain of knowledge management, with a literature review covering several aspects of the domain. There is particular emphasis on knowledge management implementations within organisations. Several researchers in the area offer methodologies or strategies for organisations to adopt, when implementing knowledge management initiatives. These options are covered at length in the literature review along with real world case studies on organisations that have implemented knowledge initiatives with varying degrees of success. A key aspect of the research is assessing the impact of organisational culture on knowledge management initiatives. The literature review contains an extensive …
Can Wikipedia Article Traffic Statistics Be Used To Verify A Technical Indicator? An Exploration Into The Correlation Between Wikipedia Article Traffic Statistics And The Coppock Technical Indicator., Cormac O'Connor
Dissertations
Recent studies have shown that, through the quantification of Wikipedia Usage Patterns as a result of information gathering, stock market moves can be predicted (Moat et al 2013). There was also research performed to determine the predictive nature of Wikipedia Data to predict movie box office success (Mestyan et al. 2013). The goal of any investor, in order to maximize the return of their investments, is to have an edge over other participants in the markets. Several tools and techniques have been used over the years to fulfil this, some proving to generate a consistent stream of income (Gillen 2012). …
Can Passive Mobile Application Traffic Be Identified Using Machine Learning Techniques, Peter Holland
Can Passive Mobile Application Traffic Be Identified Using Machine Learning Techniques, Peter Holland
Dissertations
Mobile phone applications (apps) can generate background traffic when the end-user is not actively using the app. If this background traffic could be accurately identified, network operators could de-prioritise this traffic and free up network bandwidth for priority network traffic. The background app traffic should have IP packet features that could be utilised by a machine learning algorithm to identify app-generated (passive) traffic as opposed to user-generated (active) traffic. Previous research in the area of IP traffic classification focused on classifying high level network traffic types originating on a PC device. This research was concerned with classifying low level app …
An Open Source Implementation And Evaluation Of A Federated Searching Service Based On File Based Index And Relational Database Index, Alan Liu
Dissertations
One of the greatest challenges in the modern information world is the storage of data and the ability to extract usable knowledge from it, to enable enterprises to gain insight that can be leverage to succeed in the competitive environment. Data is constantly being generated and collected at a rapid pace from users and customers via many sources such as intranet, internet and other smart devices. To effectively use the collected data, knowledge must be extracted from it to allow effective and efficient business planning. While the core challenge of data analytics is to extract hidden non-trivial information form large …
An Analysis Of The Predictive Capability Of C5.0 And Chaid Decision Trees And Bayes Net In The Classification Of Fatal Traffic Accidents In The Uk, Aiden O'Connor
Dissertations
Road traffic accidents are a significant cause of deaths worldwide and there is a global focus on understanding accident contributory factors and implementing prevention strategies. Although accident statistics are steadily improving, effective prevention must be persistent, evidence based and properly resourced. This research aimed to extract fatal traffic accident prediction from UK STATS19 accident data using C5.0 and Chaid decision trees and Bayes net classification models. Data was grouped as either fatal or non-fatal. The class imbalance due to fatal accident infrequency was considered and data transformation and sampling techniques were applied to increase prediction likelihood. Chaid was used for …