Samaher Al-Janabi

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This paper presents a methodology for discovering classification rules in data mining. The attributes defining the data space can be inadequate, making it difficult to discover high-quality knowledge. In order to solve this problem, this paper proposes a fuzzy c-means model (FCM) for attribute clustering after preprocessing of that attributes (features).(More)
Distributed Search Engine Architecture (DSEA) hosts numerous independent topic-specific search engines and selects a subset of the databases to search within the architecture. The objective of this approach is to reduce the amount of space needed to perform a search by querying only a subset of the total data available. In order to manipulate data across(More)
Keywords: Dissolved Gas-in-oil Analysis (DGA) Electrical transformer Fault detection Fault prediction Genetic algorithm Neural network a b s t r a c t Transformers are the vital parts of an electrical grid system. A faulty transformer can destabilize the electrical supply along with the other devices of the transmission system. Due to its significant role(More)
This paper presents a methodology for knowledge discovery in data mining of medical data with the use of hybrid Evolving Fuzzy Neural Networks (EFuNNS). EFuNNs are five layer sparsely connected networks. EFuNNs contain dynamic structures that evolve by growing and pruning of neurons and connections. EFuNNS merge three supervised classification methods:(More)
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