Various business problems are of interest to both data mining and marketing academic communities, such as market segmentation, direct marketing, targeted marketing, personalization/customization, cross selling and discovering customer lifetime value. Yet, these two disciplines have very...

When large numbers of alerts are reported by intrusion detection (ID) systems in very fine granularity, it prevents system administrators from handling the alerts effectively. This in turn degrades the usability of an intrusion detection system. Aside from detection, timely responses of...

Modern computing environments involve a multitude of components working in concert to provide services to users. Computer elements, network elements, operating systems, applications, users, etc. must to be constantly managed and controlled to prevent unintended or illegal accesses that could...

Over the last decade there has been growing interest in pool-based active learning techniques, where instead of receiving an i.i.d. sample from a pool of unlabeled data, a learner may take an active role in selecting examples from the pool. Queries to an oracle (a human annotator in most...

The Internet has become the standard infrastructure for all kinds of communications. At the same time, the emergence of cloud computing and web services has significantly strengthened requirements for the Internet to display greater robustness to disruptions and higher flexibility to support...

Machine learning has become one of the most active and exciting areas of computer science research, in large part because of its wide-spread applicability to problems as diverse as natural language processing, speech recognition, spam detection, search, computer vision, gene discovery, medical...

Software testing, one of the most important methods for quality assurance, has become too expensive and error prone for complex modern software systems. Test automation aims to reduce the costs of software testing and to improve its reliability. Despite advances in test automation, there are...

During the past two decades, increasingly powerful and capable information technologies have made information more accessible and valuable so that it has become the prime resource for business; ahead of the traditional resources of land, labour and capital. Improved information acquisition,...

Admission controls, such as trunk reservation, are often used in loss networks to optimise their performance. Since the numerical evaluation of performance measures is complex, much attention has been given to finding approximation methods. The Erlang Fixed-Point (EFP) approximation, which is...

We focus on mixtures of factor analyzers from the perspective of a method for model-based density estimation from high-dimensional data, and hence for the clustering of such data. This approach enables a normal mixture model to be fitted to a sample of n data points of dimension p, where p is...