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(2009) Empirical analysis of support vector machine ensemble classifiers. Abstract Ensemble classification – combining the results of a set of base learners – has received much attention in the machine learning community and has demonstrated promising capabilities in improving classification accuracy. Compared with neural network or decision tree ensembles,(More)
To integrate condition monitoring and reliability analysis with asset life-cycle management, a general-purpose asset health assessment system architecture is being developed. This system will assist management and maintenance staff to make decisions based on condition and reliability data, scientific analysis, and integrated information thereby reducing the(More)
The amount of data that modern companies collect is ever increasing. With organisations that own a plethora of information systems, structured integration of data has become a pressing issue. Many companies have turned to data warehousing to bridge the gap of turning data into useful information and knowledge; however the data involved are typically from(More)
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