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All Outputs (6)

On pruning and feature engineering in Random Forests. (2016)
Thesis
FAWAGREH, K. 2016. On pruning and feature engineering in Random Forests. Robert Gordon University, PhD thesis.

Random Forest (RF) is an ensemble classification technique that was developed by Leo Breiman over a decade ago. Compared with other ensemble techniques, it has proved its accuracy and superiority. Many researchers, however, believe that there is stil... Read More about On pruning and feature engineering in Random Forests..

A data mining approach to ontology learning for automatic content-related question-answering in MOOCs. (2016)
Thesis
SHATNAWI, S.M.I. 2016. A data mining approach to ontology learning for automatic content-related question-answering in MOOCs. Robert Gordon University, PhD thesis.

The advent of Massive Open Online Courses (MOOCs) allows massive volume of registrants to enrol in these MOOCs. This research aims to offer MOOCs registrants with automatic content related feedback to fulfil their cognitive needs. A framework is prop... Read More about A data mining approach to ontology learning for automatic content-related question-answering in MOOCs..

CAWIML: a computer assisted web interviewing mark-up language. (2016)
Thesis
LLORET PEREZ, J.M. 2016. CAWIML: a computer assisted web interviewing mark-up language. Robert Gordon University, MRes thesis.

Computer-Assisted Web Interviewing (CAWI) is the new mode of conducting surveys through web browsers. This on-line solution extends the traditional paper questionnaire with functionality to inform the order of questions, the logic to guide question r... Read More about CAWIML: a computer assisted web interviewing mark-up language..

Contextual lexicon-based sentiment analysis for social media. (2016)
Thesis
MUHAMMAD, A.B. 2016. Contextual lexicon-based sentiment analysis for social media. Robert Gordon University, PhD thesis.

Sentiment analysis concerns the computational study of opinions expressed in text. Social media domains provide a wealth of opinionated data, thus, creating a greater need for sentiment analysis. Typically, sentiment lexicons that capture term-sentim... Read More about Contextual lexicon-based sentiment analysis for social media..

The role of Walsh structure and ordinal linkage in the optimisation of pseudo-Boolean functions under monotonicity invariance. (2016)
Thesis
CHRISTIE, L.A. 2016. The role of Walsh structure and ordinal linkage in the optimisation of pseudo-Boolean functions under monotonicity invariance. Robert Gordon University, PhD thesis.

Optimisation heuristics rely on implicit or explicit assumptions about the structure of the black-box fitness function they optimise. A review of the literature shows that understanding of structure and linkage is helpful to the design and analysis o... Read More about The role of Walsh structure and ordinal linkage in the optimisation of pseudo-Boolean functions under monotonicity invariance..

Cloud computing adoption by SMEs in Sub-Saharan Africa. (2016)
Thesis
ABUBAKAR, D.A. 2016. Cloud computing adoption by SMEs in Sub-Saharan Africa. Robert Gordon University, PhD thesis.

This research contributes to the growing body of research on cloud computing and addresses the paucity of research on cloud computing adoption, as well as information systems (IS) and information communication technologies (ICTs) adoption in sub-Saha... Read More about Cloud computing adoption by SMEs in Sub-Saharan Africa..