Knowledge Discovery in Databases (KDD): A comprehensive process involving data pre‐processing, pattern extraction, evaluation and the transformation of raw data into actionable knowledge.

[4] Modeling method of internet public information data mining based on probabilistic topic model. The Journal of Supercomputing (2019). Back to "Data Mining and Knowledge Discovery" ...

Machine learning transforms the landscape of 2D materials design, particularly in accelerating discovery, optimization, and screening processes. This review has delved into the historical and ongoing ...

This article presents a process-mining influenced load-balancer for routing applications and data according to dynamically defined business rules. We use a high-level Colored Petri Net (CPN) to derive ...

Friday’s jobs data showed that the labor market is continuing to lose momentum but is not yet cracking: Employers added 139,000 jobs last month, and the unemployment rate was stable at 4.2 percent.

Data Mining vs. Data Analytics vs. Data Warehousing & Crypto Mining. Data mining is easy to confuse with similar and related terms like data analytics, data warehousing, or crypto mining, but there ...

Ikea began “process mining,” which has led to a whole new way of thinking about omnichannel execution at the retailer.

Tipping points are the death of ecosystems. So scientists watch as warning signs gradually worsen until an ecosystem reaches ...

To gain a competitive edge with AI, healthcare companies should reclassify their data in a uniform way and upskill staff, ...

This TDWI Data Points report focuses on how enterprises are modernizing their data strategies and architectures to meet the ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Digital transformation requires bold strategy, clear design principles and the courage to rethink how work gets done.