2001, Data-driven, Knowledge Discovery and Modeling

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

Ontotext

JULY 29, 2021

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. And what are the commercial implications of semantic technologies for enterprise data? Source: tag.ontotext.com.

Enterprise

Enterprise Metadata Knowledge Discovery Management

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

MAY 20, 2021

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. 1988), E-state data (Hall et al., 1998) and others). Chawla et al.

Machine Learning

Machine Learning Metrics Data mining Knowledge Discovery

Data Leaders Brief

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

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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