IEEE

Dealing With Class Imbalance in Uplift Modeling-Efficient Data Preprocessing via Oversampling and Matching

Abstract: Uplift modeling is a widely recognized predictive approach used to identify individuals who are more likely to respond positively to an intervention or treatment, such as a marketing ...

The 'last-mile' data problem is stalling enterprise agentic AI — 'golden pipelines' aim to fix it

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...
IEEE

Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification

Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...
Reuters

Oracle shares gain as $50 billion raise eases data-center funding fears

Feb 2 (Reuters) - Oracle (ORCL.N), opens new tab shares gained 2% on Monday after Wall Street analysts said the software company's $50 billion fundraising plan allays worries over its ability to ...