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...
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...
Abstract. Motivated by social network data mining problems such as link prediction and collaborative filtering, significant research effort has been devoted to computing topologica...
Pooya Esfandiar, Francesco Bonchi, David F. Gleich...
The adoption of advanced integration technologies that enable private and public organizations to seamlessly execute their business transactions electronically is still relatively...
Till Janner, Fenareti Lampathaki, Volker Hoyer, Sp...
Log preprocessing, a process applied on the raw log before applying a predictive method, is of paramount importance to failure prediction and diagnosis. While existing filtering ...
Ziming Zheng, Zhiling Lan, Byung-Hoon Park, Al Gei...