In today’s age, where businesses generate more data than ever before, the challenge is no longer just collecting infor ...

Tabular data is at the heart of scientific analysis—whether in medicine, the social sciences, or even archaeology. Making it ...

The culprit isn't computational power or model sophistication — it's data variety. While enterprises rush to deploy large language models and agentic systems, they're discovering that the messy, ...

Renmin University researchers present a comprehensive survey of sampling- and sketch-based algorithms for distinct value estimation in big data, offering insights to accelerate database queries, ...