Proposing Logical Table Constructs for Enhanced Machine Learning Process

Proposing Logical Table Constructs for Enhanced Machine Learning Process

Machine learning (ML) has shown enormous potential in various domains with the wide variations of underlying data types. Because of the miscellany in the data sets and the features, ML classifiers often suffer from challenges, such as feature miss-classification, unfit algorithms, low accuracy, over...

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Bibliographic Details
Main Authors: Muhammad Fahim Uddin, Syed Rizvi, Abdul Razaque
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Big data
predictive modeling
data mining
machine learning
algorithm
parallel processing of machine learning metrics reading
Online Access:https://ieeexplore.ieee.org/document/8439940/

Internet

https://ieeexplore.ieee.org/document/8439940/

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