- In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
Clustering is the process of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. Practical clust...
: Data warehouse technology transforms the operational data store to general and compositive information. It also provides effective way for analysis and statistic to the mass data...
Since it is desirable for an intrusion detection system to be operated with the real time performance, it is not unusual for an intrusion detection engine to perform a "lazy ...
We present an application of bi-dimensional and heterogeneous time series clustering in order to resolve a Social Sciences issue. The dataset is the result of a survey involving mo...