Papers by Tahani al-Moshadak
مجلة جامعة الملك عبدالعزيز-علوم الحاسبات وتقنية المعلومات, 2018
The imbalanced class problem is related to the real-world application of classification. It occur... more The imbalanced class problem is related to the real-world application of classification. It occurs when there is a high difference between the prior probabilities of classes in the learning phase. It considered as a challenge since it needs to deal with uneven distribution of examples. The presence of multiple classes implies an additional difficulty since the relations between the classes tend to complicated. This paper provides a review on multi-class imbalance problem with a focus on feature selection and problem decomposition as a solution of this problem. Also, it presents a comparative overview of the related solutions that proposed for classification imbalanced datasets. Moreover, it provides outlines of classification in imbalanced datasets that could help any researcher in this field.
Procedia Computer Science, 2015
Wireless Sensor Networks WSNs are special networks consist of devices (sensor nodes) in large num... more Wireless Sensor Networks WSNs are special networks consist of devices (sensor nodes) in large numbers and spatial distribution. They have various sensing capability and cooperate to accomplish common task. Clustering is one of the most effective techniques used to solve the problem of energy consumption in WSNs. Grid based clustering has proven its efficiency specially for high dynamic networks. The girds' strategy used in this research is implemented on dense network and divides the network area into multiple grid cells with different densities (High, Low, and empty). Then grids are combined to form clusters as normal and advanced clusters. Cluster head is elected for each cluster based on high energy. This new suggested strategy is implemented and tested using MATLAB. The results show that this suggested strategy works well at 150 node WSN and grid size between 5-10 units where the network life time is 633 seconds approximately.
Density Grid-based Clustering for Wireless Sensors Networks
Procedia Computer Science, 2015
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Papers by Tahani al-Moshadak