TY - GEN
T1 - Real-Time Data Streaming Algorithms and Processing Technologies
T2 - 2019 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2019
AU - Navaz, Alramzana Nujum
AU - Harous, Saad
AU - Serhani, Mohamed Adel
AU - Taleb, Ikbal
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - 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.
AB - 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.
KW - Concept Drift
KW - Data Streaming
KW - Real-Time Data
KW - Stream Processing Technologies
KW - Streaming Algorithms
UR - http://www.scopus.com/inward/record.url?scp=85080896338&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85080896338&partnerID=8YFLogxK
U2 - 10.1109/ICCIKE47802.2019.9004318
DO - 10.1109/ICCIKE47802.2019.9004318
M3 - Conference contribution
AN - SCOPUS:85080896338
T3 - Proceedings of 2019 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2019
SP - 246
EP - 250
BT - Proceedings of 2019 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 11 December 2019 through 12 December 2019
ER -