There are many methods for finding association rules in very large data. However it is well known that most general association rule discovery methods find too many rules, which...
Lifang Gu, Jiuyong Li, Hongxing He, Graham J. Will...
Subspace-based methods rely on dominant element selection from second order statistics. They have been extended to tensor processing, in particular to tensor data filtering. For t...
Portable, reusable test collections are a vital part of research and development in information retrieval. Reusability is difficult to assess, however. The standard approach— si...
Ben Carterette, Evangelos Kanoulas, Virgiliu Pavlu...
The Tutte polynomial of a graph, also known as the partition function of the q-state Potts model, is a 2-variable polynomial graph invariant of considerable importance in both comb...
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...