Browsing Doctoral Theses by Thesis Supervisor "Pears, Russel"
Now showing items 1-18 of 18
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Adaptive Methods for Spatiotemporal Stream Data Mining
(Auckland University of Technology, 2018)The availability of temporal and spatiotemporal data is increasing, and the use of traditional statistical techniques to deal with such data is insufficient. Novel methods that are capable of adapting to changing patterns ... -
Age Invariant Face Recognition Via Aging Modelling
(Auckland University of Technology, 2017)Aging is a complex problem because at different age points different changes occur in the human face. From childhood to teenage the changes are mostly related to craniofacial growth. At maturity the changes are mostly ... -
Capturing recurring concepts in high speed data streams
(Auckland University of Technology, 2015)This research addresses two key issues in high speed data stream mining that are related to each other. One fundamental issue is the detection of concept change that is an inherent feature of data streams in general in ... -
Development of a new computational model for mapping, learning and mining of 3D spatio-temporal fMRI data
(Auckland University of Technology, 2015)The application of data mining techniques, particularly classification of spatio-temporal 3D functional magnetic resonance images has received growing attention in the literature. Spatio or spatial component as well as ... -
Evidence-based Stratification Methodology for Non-probabilistic Sampling Surveys
(Auckland University of Technology, 2018)There is increasing use of non-probability sampling methods in large-scale surveys due to the costs involved in ensuring that the sample chosen is representative of the population, as is the case with probability sampling. ... -
Exploiting data mining techniques in the design of multidimensional schema for enhanced knowledge discovery
(Auckland University of Technology, 2013)The work done in this thesis encapsulates an area of inquiry that has seen surprisingly little research in the broad and rapidly developing field of knowledge discovery. Both the Data Mining and Data Warehousing disciplines, ... -
Framework for Sentiment Classification for Morphologically Rich Languages: A Case Study for Sinhala
(Auckland University of Technology, 2017)This thesis presents a framework for sentiment analysis for morphologically rich languages. Sentiment analysis is the domain of analysing and extracting people’s emotions, feelings, expressions, attitudes and experiences ... -
Goal-oriented dynamic test generation
(Auckland University of Technology, 2014)Automated software testing is increasingly being seen as an important means of improving the quality and reliability of software in industry. It mitigates the hardship of manual testing, which is labour-intensive and ... -
Identifying Polymorphic Malware Variants Using Biosequence Analysis Techniques
(Auckland University of Technology, 2018)Modern antivirus systems (AVSs) are not able to detect new polymorphic malware variants until they emerge, even when signatures of one or more variants belonging to a specific polymorphic malware family are known. Polymorphic ... -
Integrated multi-model framework for adaptive multiple time-series analysis and modelling
(Auckland University of Technology, 2011)The topic of time-series prediction has been very well researched in studies of dynamic systems. However, most studies in the field have focused more on predicting movement of a single time-series only, whilst prediction ... -
Materialization strategies for web based search computing applications
(Auckland University of Technology, 2014)In the thesis we provide a characterization of view materialization in the context of multi domain heterogeneous search application. Web data view materialization is presented as a solution for technical constraints and ... -
Multi-metric prediction of software build outcomes
(Auckland University of Technology, 2012)This thesis details the design, implementation and evaluation of software prediction models designed to address some of the challenges associated with the identification and mitigation of the risks associated with a software ... -
On-line fast kernel based methods for classification over stream data (with case studies for cyber-security)
(Auckland University of Technology, 2012)This thesis proposes and presents several novel methods to address some of the real world stream data modelling issues through the use of global and local modelling approaches. A set of real world stream data modelling ... -
Personalised Taste Profiling in Short-Text Microblogs
(Auckland University of Technology, 2021)The objective of this thesis is to develop diverse and user-representative methods for taste profiling in short-text microblog users. The proposed methods are entirely based on the disseminated content, social network ... -
Spatial-temporal data modelling and processing for personalised decision support
(Auckland University of Technology, 2015)The purpose of this research is to undertake the modelling of dynamic data without losing any of the temporal relationships, and to be able to predict likelihood of outcome as far in advance of actual occurrence as possible. ... -
A Staged Approach to Classification in High Speed Concept Drifting Data Streams
(Auckland University of Technology, 2019)Data stream classification task needs to address challenges of enormous volume, continuous rapid flow, and concept drift of data in the presence of limited computer resources. A successful classifier is expected to result ... -
Subsumption & economic preference expression: an agent-based computational architecture for principled exploratory applications
(Auckland University of Technology, 2015)This work focuses on the investigation of economic preferences, particularly within economic systems, using agent-based models (ABMs). Economic systems are a challenging area of research, exhibiting complex adaptive, ... -
Trust Management for Complex Agent Groups
(Auckland University of Technology, 2017)In Multi-agent Systems, there are complex problems that cannot be solved by a single agent. Therefore, agent groups are formed to deal with the problems more effectively. These groups can have various types, structures, ...