2001 and Knowledge Discovery - Data Leaders Brief

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

MAY 20, 2021

The problem with this approach is that in highly imbalanced sets it can easily lead to a situation where most of the data has to be discarded, and it has been firmly established that when it comes to machine learning data should not be easily thrown out (Banko and Brill, 2001; Halevy et al., References. Banko, M., & Brill, E. Quinlan, J.

Machine Learning

Machine Learning Metrics Data mining Knowledge Discovery

The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

JULY 29, 2021

After the design of this “architectural plan untested by anything except thought experiments”, in 2001 the Semantic Web seized the public’s imagination with a seminal article featured in Scientific American called: The Semantic Web: A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities.

Enterprise

Enterprise Metadata Knowledge Discovery Management

Data Leaders Brief

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

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