A frequently encountered problem in decision making is the following review problem: review a large number of objects and select a small number of the best ones. An example is sel...
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, ...
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Precise analysis of the Web structure can facilitate data pre-processing and enhance the accuracy of the mining results in the procedure of Web usage mining. STPN Stochastic Timed...