Modern distributed systems that have to avoid performance degradation and system overload require several runtime management decisions for load balancing and load sharing, overloa...
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
Knowledge acquisition (KA) plays an important role in building knowledge based systems (KBS). However, evaluating different KA techniques has been difficult because of the costs...