Ontotext

APRIL 6, 2023

As knowledge graphs can represent the relationships between different entities, such as vehicles, cargo and warehouses, they can identify patterns and dependencies between the automotive industry and logistics that are not immediately obvious from the raw data. This can lead to operational cost cutting and improve competitiveness.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

TDAN

JUNE 15, 2022

Given that the global big data market is forecast to be valued at $103 billion in 2027, it’s worth noticing. “Information is the oil of the 21st century, and analytics is the combustion engine,” says Peter Sondergaard, former Global Head of Research at Gartner. And he has a point. As the amount of data generated […].

Data mining 98

Data mining Forecasting Big Data Marketing 98

Domino Data Lab

MAY 20, 2021

propose a different strategy where the minority class is over-sampled by generating synthetic examples. The class imbalance problem: Significance and strategies. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. In their 2002 paper Chawla et al. Japkowicz, N. Quinlan, J.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136