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)
Electronic commerce sites need to learn as much as possible about their customers and those browsing their virtual premises, in order to maximize their marketing effort. The discovery of marketing related navigation patterns requires the development of data mining algorithms capable of discovering sequential access patterns from web logs. This paper… (More)
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)
The paper describes potential synergies between data mining and XML, which include the representation of discovered data mining knowledge, knowledge discovery from XML documents, XML-based data preparation, and XML-based domain knowledge. Each category is viewed from a theoretical as well as a practical point of view.
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)