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Mining of frequent patterns is a basic problem in data mining applications. The algorithms which are used to generate the frequent patterns must perform efficiently. The objective was to propose a new algorithm which generates maximal frequent patterns in less time. We proposed an algorithm which was based on Array technique and combines a vertical tidset representation of the database with effective...
Data mining is "The nontrivial extraction of implicit, previously unknown, and potentially useful information from data." Data mining is an inter-disciplinary field, whose core is at the intersection of machine learning, statistics and databases. A major objective of this work is to evaluate data mining tools in medical and health care applications to develop a tool that can help make timely...
We continue to investigate the use of trust management techniques to specify dynamic policies in complex integrated service-oriented networks. For this work, we use the DoD GIG's service-oriented architecture as a focal point. In this research's initial phase, we are developing prototype dynamic trust management policy services for a service-oriented architecture. In our research's next phase, we...
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