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A Survey of Challenges Facing Streaming Data

  • Transactions on Machine Learning and Artificial Intelligence
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Abstract

This survey performs a thorough enumeration and analysis of existing methods for data stream processing. It is a survey of the challenges facing streaming data. The challenges addressed are preprocessing of streaming data, detection and dealing with concept drifts in streaming data, data reduction in the face of data streams, approximate queries and blocking operations in streaming data.

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DOI
10.14738/tmlai.84.8579
OpenAlex
W3048285809
Document type
article
Language
EN
Source
Transactions on Machine Learning and Artificial Intelligence
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