Partial periodicity search, i.e., search for partial periodic patterns in time-series databases, is an interesting data mining problem. Previous studies on periodicity search main...
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Existing data mining techniques mostly focus on finding global patterns and lack the ability to systematically discover regional patterns. Most relationships in spatial datasets ar...
Oner Ulvi Celepcikay, Christoph F. Eick, Carlos Or...
As the amount of data used by programs increases due to the growth of hardware storage capacity and computing power, efficient memory usage becomes a key factor for performance. Si...
Software architecture (SA) evaluation is a quality assurance technique that is increasingly attracting significant research and commercial interests. A number of SA evaluation meth...