Real-Time Data Streaming Algorithms and Processing Technologies: A Survey
Alramzana Nujum Navaz, Saad Harous, Mohamed Adel Serhani, Ikbal Taleb · 2019
With the ever-increasing generation of data, there exists a plethora of real-time streaming algorithms proposed in the literature. Enterprises are moving from massive data to quick data; therefore, they will need to use and maybe extend the latest innovative technologies for real-time stream processing. To serve this purpose the paper surveys and classifies the existing streaming data algorithms and techniques. It presents a categorization of existing recent data streaming algorithms that solve the well-known concept drift research problem. In addition, it lists the various datasets used for the purpose of validation. Finally, it highlights the remaining open research inquiries in this field.