In this paper, we describe a new approach for mining concept associations from large text collections. The concepts are short sequences of words that occur frequently together acr...
The empirical findings from an organization, which adopted and implemented ERP, are presented. The focus of this empirical research was to understand the nature and processes of k...
Jimmy C. Huang, Sue Newell, Shan Ling Pan, Robert ...
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Process mining is the extraction of a process model from system logs. These logs have to meet minimum requirements, i.e. each event should refer to a case and a task. Many system ...
Monique H. Jansen-Vullers, Wil M. P. van der Aalst...
Our research aims at discovering useful knowledge from the large collection of satellite images of typhoons using data mining approaches. We first introduce the creation of the typ...