Tag: big data

A new PLOS Medicine guidance article warns that large biomedical datasets inflate statistical significance while leaving systematic bias intact, and ...

The 5th International Dog Health Workshop in Helsinki brought together 106 decision-makers from 16 countries who agreed to eliminate extreme ...

Researchers built a geospatial, location-aware recommender system that combines spatial indexing, congestion-aware routing and branch-level service validation, reporting better accuracy ...

A new review finds machine learning outperforms traditional linear models in predicting poultry nutrient requirements, with big data enabling precise, ...

A new special issue of Data Science and Engineering collects eleven peer-reviewed papers on data spaces, data governance, and data-driven ...

A new conceptual analysis argues that indirect tax accountability should be understood as agreement among an enterprise's physical, transactional and ...

A new conceptual analysis in Frontiers in Big Data proposes a five-layer architecture for managing quality-oriented big data and argues ...

A University of Cambridge systematic review of 17 studies finds that children and young people broadly support the use of ...

A systematic review of 17 studies finds that children, young people, and underserved groups support big data use in paediatric ...

A new machine learning model called DBFP combines LSTM networks, attention mechanisms, and non-linear regularization to predict which software features ...

Researchers have developed a conceptual and logical modeling methodology that treats measures, granularity hierarchies, and business-process states as explicit constructs, ...

Researchers have enhanced a rime-ice-inspired optimization algorithm with four adaptive strategies, achieving superior benchmark results and 95.52 percent accuracy in ...

A large real-world data study has established sex- and age-stratified reference intervals for serum CA125 using five statistical algorithms, revealing ...

A Harvard-led chart review has identified which ICD-10 billing code strategies most accurately identify true rosacea patients in electronic health ...

Researchers at North Minzu University have developed SHUIM-CS, a cuckoo search-based algorithm with specialized indexing, deduplication, and discrete update strategies ...

Researchers at the University of Bologna have developed DSC+, a two-phase streaming clustering algorithm that profiles the evolving schemas of ...

A new Smart Partial Least Squares model shows that internal technological and managerial factors together with external economic and regulatory ...

In an age where innovation and entrepreneurial spirit are paramount in shaping the future, the capability of college students to ...