Browsing by Supervisor "47813"
Now showing items 1-14 of 14
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An application of soft systems methodology on a holistic level: Recommendations for developing and implementing green ICT strategies in New Zealand
(2011)This thesis has been conducted in order to identify and explore the issues involved in the development and implementation of Green ICT strategies in ICT recycling in New Zealand. There were interactions with five stakeholders ... -
Computational land use management of public spaces in New Zealand
(2017)Land management is the process of managing the use and development of land resources, in both urban and rural settings. In all modern states, some land is held by central or local governments. This is called public land. ... -
A computational referencing approach to stocks correlation analysis
(2013)The activity of the stock market is dynamic and complicated, with financial figures changing every minute. Thus, it is not ever an easy task for a professional investor to discover the beneficial knowledge that will ... -
Computer monitoring trends in recreational fishing effort
(2016)Annual estimates of removals from fish stocks are a fundamental requirement for any fisheries management regime. The surveillance of maritime boat ramp aims to balance the sustainability of fisheries stocks and the impacts ... -
Determining the accuracy of budgets : a machine learning application for budget change pattern recognition
(2012)With the aid of open-sourced database and software libraries, we developed a data mining software prototype for SME business intelligent budgeting planning. The experiment demonstrates the existence of the change pattern ... -
Dynamic class imbalance learning for incremental LPSVM
(2012)Abstract Linear Proximal Support Vector Machines (LPSVM), like decision trees, classic SVM, etc. are originally not equipped to handle drifting data streams that exhibit high and varying degrees of class imbalance. For ... -
Incremental and parallel learning algorithms for data stream knowledge discovery
(2018-02)Incremental and parallel are two capabilities for machine learning algorithms to accommodate data from real world applications. Incremental learning addresses streaming data by constructing a learning model that is updated ... -
Load balancing in a distributed network environment : an ant colony inspired approach
(2013)With the incidence of technology at each and every juncture of human life, there has been an accelerated growth in computational needs to satisfy the technological cravings. Computer networks have evolutionarily emerged ... -
A methodology for multilevel analysis of scientific collaboration networks : mapping current computer science research in New Zealand
(2013)This research scientifically analysed the evolving Complex Network structures of the New Zealand Computer Science research community upon multiple levels (Macro, Meso, Micro, Topics). Methodological approaches utilised ... -
A multi-agent integrated analysis engine for decentralized network traffic monitoring
(2014)The advent of decentralized systems have been considered as an immense progress as compared to existing centralized systems. In this research, we present an extensible, exible, stable and to the utmost, decentralized network ... -
A quantum inspired competitive coevolution evolutionary algorithm
(2013)Continued and rapid improvement in evolutionary algorithms has made them suitable technologies for tackling many difficult optimization problems. Recently the introduction of quantum inspired evolutionary computation has ... -
Spatio-temporal incremental data modelling for multidimensional environmental analysis
(2014)A variety of environmental problems increasingly attract academic research in order to protect ecosystems and minimise negative effects on human health. Advanced computational environmental analysis technologies have the ... -
Support Vector Machine (SVM) aggregation modelling for spatio-temporal air pollution analysis
(2019)RESEARCH QUESTIONS: 1. Dealing with long term historical data of spatio-temporal is always challenging. SVM ensemble and other methods are used to handle long term historical data, but these methods result in slow ... -
Using VM replication to build a consistent, fast HA system
(2016)Virtualization supplies a straightforward approach to high availability through iterative replications of virtual machine (VM) checkpoints that encapsulate the protected services. Unfortunately, traditional VM replication ...
