Classification techniques for noisy and imbalanced data

Classification techniques for noisy and imbalanced data

Machine learning techniques allow useful insight to be distilled from the increasingly massive repositories of data being stored. As these data mining techniques can only learn patterns actually present in the data, it is important that the desired knowledge be faithfully and discernibly contained t...

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Bibliographic Details
Other Authors: Napolitano, Amri E.
Format: Others
Language:English
Published: Florida Atlantic University
Subjects:
Combinatorial group theory
Data mining > Technological innovations
Decision trees
Machine learning
Filters (Mathematics)
Online Access:http://purl.flvc.org/FAU/369201

Internet

http://purl.flvc.org/FAU/369201

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