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Ensemble learning for data stream analysis: A survey
In many applications of information systems learning algorithms have to act in dynamic
environments where data are collected in the form of transient data streams. Compared to …
environments where data are collected in the form of transient data streams. Compared to …
Computational intelligence and financial markets: A survey and future directions
Financial markets play an important role on the economical and social organization of
modern society. In these kinds of markets, information is an invaluable asset. However, with …
modern society. In these kinds of markets, information is an invaluable asset. However, with …
A survey on concept drift adaptation
Concept drift primarily refers to an online supervised learning scenario when the relation
between the input data and the target variable changes over time. Assuming a general …
between the input data and the target variable changes over time. Assuming a general …
Challenges and contexts in establishing adaptive learning in higher education: findings from a Delphi study
Higher education institutions are increasingly interested in using adaptive learning as an
innovative data-driven approach to teaching. The actual use of adaptive learning in courses …
innovative data-driven approach to teaching. The actual use of adaptive learning in courses …
Open challenges for data stream mining research
Every day, huge volumes of sensory, transactional, and web data are continuously
generated as streams, which need to be analyzed online as they arrive. Streaming data can …
generated as streams, which need to be analyzed online as they arrive. Streaming data can …
Smart grid load forecasting using online support vector regression
Smart grid, an integral part of a smart city, provides new opportunities for efficient energy
management, possibly leading to big cost savings and a great contribution to the …
management, possibly leading to big cost savings and a great contribution to the …
Learning in smart environments: user-centered design and analytics of an adaptive learning system
The complexity of today's learning processes and practices entails various challenges. It is
becoming much harder for teachers to observe, control, and adjust the learning process …
becoming much harder for teachers to observe, control, and adjust the learning process …
Incremental learning imbalanced data streams with concept drift: The dynamic updated ensemble algorithm
Z Li, W Huang, Y ** models in
diverse contexts, including visual perception, speech recognition, and machine translation …
diverse contexts, including visual perception, speech recognition, and machine translation …