Abstract : Executing Join-Aggregate queries on Big Data can incur enormous computational costs. Hence, the Approximate Aggregate Query Processing Techniques (AQPTs) are an attractive choice to execute such join-aggregate queries, because they incur limited computational costs. The AQPTs utilize random sampling to approximately execute a given join aggregate query. However, the effectiveness of random sampling is highly correlated with the number of qualifying tuples of the given query. If the given query h
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Abstract : The integrity of the healthcare system is compromised by collusive fraud, where multiple individuals conspire to deceive health insurance providers. Despite the severity of this issue, current statistical and machine learning-based approaches struggle to identify fraudulent activities in health insurance claims, largely due to the similarity between fraudulent behaviors and legitimate medical visits, as well as the scarcity of labeled data. To enhance the accuracy of fraud detection, it is essen
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Abstract : Manzala Lake is one of the largest natural resources in Egypt. The research aims to assess the lake region's ecosystem changes by identifying the dynamic change pattern and interactions between three main factors; urban development, lake ecological system and ecosystem services' value. The objectives were achieved by propose a spatiotemporal assessment tools using the earth observation and the computing clouds technologies advantages of Google Earth Engine for historical data extraction and its
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