The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
This work examines dynamic cluster assignment for a clustered trace cache processor (CTCP). Previously proposed cluster assignment techniques run into unique problems as issue wid...
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...
YongChul Kwon, Dylan Nunley, Jeffrey P. Gardner, M...
This paper introduces a set of algorithmic modifications that improve the partitioning results obtained with ant-based clustering. Moreover, general parameter settings and a self-...