Foundational work on agent-based approaches to information mining has contributed to overcoming challenges associated with data heterogeneity and scale, ultimately improving decision-making ...

This data, with known outcomes both positive and negative, serves as the basis for the modeling process. Technically speaking, this is a classification problem in data mining.

Data mining is also referred to as knowledge discovery; it is used to reveal patterns and correlations within big datasets. AI, in simple terms, is the simulation of human intelligence processes ...

The difference is that process configuration mining is the map of the city with all the dark alleys and cut-throughs. Process mining is the statistically most popular routes (where there is tracking).

Adela-Claudia Cuțitoi, Smart City Analytics, Digital Twin Simulation and Visualization Modeling Technologies, and Cognitive Data Mining Algorithms in Sustainable Urban Governance Networks, Geopolitics ...