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This paper presents a prognostic methodology that can be implemented in a condition-based maintenance (CBM) program. The methodology estimates the remaining useful life (RUL) of a system by using a pattern-based machine learning and knowledge discovery approach called Logical Analysis of Data (LAD). The LAD approach is based on the exploration of the monitored system's database, and the extraction...
The task of semi-supervised outlier detection is to find the instances that are exceptional from other data with the use of some labeled examples. In many applications such as fraud detection and intrusion detection, this issue becomes important. Most existing techniques are unsupervised and the semi-supervised approaches use both negative and positive instances to detect outliers. However, in many...
Knowledge Discovery in Databases (KDD) is a complex interactive and iterative process which involves many steps that must be done sequentially. Supporting the whole KDD process has enjoyed a great popularity in recent years, with advances in research. We however still lack of a generally accepted underlying framework and this hinders the further development of the field. We believe that the quest...
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