Modeling: Predictive data-mining models involve the application of supervised ML algorithms on retrospective data where the class label is known (for example, the variable you wish to predict ...

Data is useless if information or knowledge that can be used for further reasoning cannot be inferred from it. Cluster analysis, based on some criteria, shares data into important, practical or both ...

The best algorithm for a computational problem generally depends on the “relevant inputs,” a concept that depends on the application domain and often defies formal articulation. Although there is a ...

TikTok is preparing to launch a standalone app for U.S. users that is expected to operate on a separate algorithm and data ...

This paper is devoted to the study and development of a model and algorithm for data distribution in the microservice architecture of a web application, considering the possible inoperability of some ...

The optimal prediction model was selected based on its generalization ability and stability. The reliability of feature selection, the SBO algorithm, and the Adasyn data processing algorithm were ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following ...

Describes the application of natural language processing for information extraction in event-based surveillance systems including common information extraction applications from open-source news and ...