INVESTIGATING MACHINE LEARNING ALGORITHMS WITH IMBALANCED BIG DATA

INVESTIGATING MACHINE LEARNING ALGORITHMS WITH IMBALANCED BIG DATA

Recent technological developments have engendered an expeditious production of big data and also enabled machine learning algorithms to produce high-performance models from such data. Nonetheless, class imbalance (in binary classifications) between the majority and minority classes in big data can s...

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Bibliographic Details
Other Authors: Hasanin, Tawfiq (author)
Format: Others
Language:English
Published: Florida Atlantic University
Subjects:
Algorithms
Machine learning
Big data > Data processing
Big data
Online Access:http://purl.flvc.org/fau/fd/FA00013316

Internet

http://purl.flvc.org/fau/fd/FA00013316

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