Distributed classification for imbalanced big data in distributed environments
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DOI: 10.1007/s11276-021-02552-y
Abstract: Recently, with the development of technology, it is quite important to study scalable computational methods for handling large-scale data in big data applications. The cloud/edge computing are powerful tools for solving big data problems, and… read more here.
Keywords: distributed classification; imbalanced data; classification imbalanced; imbalanced big ... See more keywords
The prior probability in the batch classification of imbalanced data streams
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DOI: 10.1016/j.neucom.2019.11.126
Abstract: Abstract In the diversity of contemporary decision-making tasks, where the data is no longer static and changes over time, data stream processing has become an important issue in the field of pattern recognition. In addition,… read more here.
Keywords: data streams; batch classification; probability batch; classification imbalanced ... See more keywords
A review on classification of imbalanced data for wireless sensor networks
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DOI: 10.1177/1550147720916404
Abstract: Classification of imbalanced data is a vastly explored issue of the last and present decade and still keeps the same importance because data are an essential term today and it becomes crucial when data are… read more here.
Keywords: imbalanced data; classification imbalanced; sensor networks; wireless sensor ... See more keywords
Classification of Imbalanced Data Using a Modified Fuzzy-Neighbor Weighted Approach
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2017.0228.07
Abstract: Classification of imbalanced datasets is one of the widely explored challenges of the decade. The imbalance occurs in many real world datasets due to uneven distribution of data into classes, i.e. one class has more… read more here.
Keywords: classification; imbalanced data; classification imbalanced; approach ... See more keywords