Indian Journal of Science and Technology
Year: 2019, Volume: 12, Issue: 37, Pages: 1-8
Majed Mohaia Alhaisoni1*, Rabie A. Ramadan1,2 and Ahmed Y. Khedr1,3
1Department of Computer Science, University of Ha’il, Ha’il, Saudi Arabia; [email protected] 2Computer Engineering Department, Cairo University, Egypt; [email protected] 3Systems and Computer Engineering Department, Al-Azhar University, Egypt; [email protected]
*Author for correspondence
Majed Mohaia Alhaisoni
Department of Computer Science, University of Ha’il, Ha’il, Saudi Arabia; [email protected]
Background/Objectives: Remote sensing produces huge data to be analyzed for different applications. The aim of this study is to develop smart big data classification platform based on AI techniques. Methods: The data differs in its types and format, text, images, audio, and video, and they might be structured or unstructured. Besides, data could be divided into categories, and each category needs to be analyzed by itself. Hence, the first step to handle this massive data is to classify them according to their types. Then, the classification phase is followed by the analysis phase. We proposed to utilize two AI algorithms: Fuzzy KNN and CNN. Findings: We proposed a novel and new smart big data classification platform based on AI techniques. It also involves cloud computing as a distributed environment to speed up the classification process of such huge data. The framework proposes a pre-analysis structure with suggested algorithms. The framework is examined against a regular/serial approach, and it proves its efficiency in the big data analysis.
Keywords: Artificial Intelligence, Big Data, Classification, Deep Learning, Neural Networks
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