Results 71 to 80 of about 238,473 (148)
Roadmap of Concept Drift Adaptation in Data Stream Mining, Years Later
As machine learning models are increasingly applied to real-world scenarios, it is essential to consider the possibility of changes in the data distribution over time.
Osama A. Mahdi +5 more
doaj +1 more source
Mobile data stream mining: from algorithms to applications [PDF]
Gaber, M., Gama, J., Krishnaswamy, S.
core +1 more source
Towards a parallel computationally efficient approach to scaling up data stream classification [PDF]
Advances in hardware technologies allow to capture and process data in real-time and the resulting high throughput data streams require novel data mining approaches.
Di Fatta, Giuseppe +3 more
core
A holistic approach for resource-aware adaptive data stream mining [PDF]
Gaber, M., Yu, P.
core +1 more source
Real-time clinical decision support system with data stream mining. [PDF]
Zhang Y +4 more
europepmc +1 more source
Imbalanced data stream classification method with limited labels
Data stream classification is a crucial research area within data stream mining, with the core task of swiftly capturing concept drifts from real-time incoming data stream and promptly adjusting classification models.
LI Yanhong +4 more
doaj +2 more sources
Ecological Impacts of Mining in the Amazon: Thematic Trends and Research Gaps. [PDF]
Pinheiro JV +4 more
europepmc +1 more source
Effect of the mining pipeline on habitat quality and the diversity of semiaquatic bug communities (Heteroptera: Gerromorpha) in streams of the eastern Amazon. [PDF]
Laurindo LN +12 more
europepmc +1 more source

