Hamed M. Sallam

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Many corporation and business rely on relational databases for their daily activities and decision making. Employee performance evaluation considered a very time consuming task faced by many large business mangers especially if it involved huge amount of transaction sales. This paper present a methodology based on fuzzy logic techniques to enhance this(More)
The underlying paper presents a comparison of the learnable evolution model LEM and Pattern Search PS techniques as a function optimizer. In contrast to conventional Darwinian type evolutionary computation algorithm that uses various forms of mutation and/or recombination operators, LEM uses machine learning to guide the process of generating new(More)
Fuzzy-logic-based technology has proved to address uncertainty in astrophysics fields. It is utilized in many areas, including research and hardware tools. The present paper addresses the need for building fuzzy astrophysics research resource (FARR) to support the increased fuzzy logic based research in the astrophysics communities. FARR database serves as(More)
Association rule mining algorithms provide different search strategies to discover the frequent itemsets; however the problem of large search space is still hard to handle. The present paper suggests a novel hybrid search technique based on reducing the search space, I/O, and CPU times. This can improve the performance up to several orders of magnitude(More)
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