Overview This project focuses on developing and analyzing data stream classification models with concept drift detection. Data stream classification is essential in environments where data arrives ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Technology is now a stack. You don’t need to look far to ...

Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

Stream processing is the processing of data in motion, or in other words, computing on data directly as it is produced at the source or received by the stream processing system. Before stream ...

In the fast-evolving world of data engineering, two methods of data analysis have emerged as the dominant, yet competing, approaches: batch processing and stream processing. Batch processing, a ...

Azure users can now deploy Cribl Stream’s data routing and processing on the Azure platform to better manage IT and security data in the cloud. Data processing platform developer Cribl is extending ...

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As one of the important 21st-century skills, collaborative problem solving (CPS) has aroused widespread concern in assessment. To measure this skill, two initiative approaches have been created: the ...

It is easy to come out of a presentation on “big data” these days thinking that the future of manufacturing information technology (IT) is a combination of three things: connected machines, data ...

2023/07/30 07:10:46 protocol error: received DATA after END_STREAM 2023/07/30 07:10:46 protocol error: received DATA after END_STREAM 2023/07/30 07:10:46 protocol ...