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This paper shows the importance of the use of class information in feature extraction for classification and inappropriateness of conventional PCA to feature extraction for classification. We consider two eigenvector-based approaches that take into account the class information. The first approach is parametric and optimizes the ratio of between-class(More)
Managers of electronic commerce sites need to learn as much as possible about their customers and those browsing their virtual premises, in order to maximise the return on marketing expenditure. The discovery of marketing related navigation patterns requires the development of data mining algorithms capable of the discovery of sequential access patterns(More)
Context-awareness refers to computing systems that are able to sense and to comprehend their environment in order to adapt themselves in dependence to the available and relevant contextual information they depend upon. Gathering such contextual information involves real world entities such as sensors, which, for various reasons, are often prone to certain(More)
The importance as well as the availability of sensor-based technology and environments is constantly increasing. This is not only based on the latest advances in sensor technology but also due to the incorporation of more powerful communication and processing mechanisms into the sensor nodes which may, eventually, allow for the emergence of cognitive(More)
The increasing ubiquity of sensing, computing and communication devices is forming the basis of a " smart world infrastructure " , with the potential to offer us panoply of innovative pervasive services. However, it also calls for such services to operate in a situation-aware and fully autonomic way. To achieve this, services would require a high degree of(More)