Incremental causal network construction over event streams

DOI10.1016/J.INS.2013.09.022zbMath1328.68157OpenAlexW2009187154MaRDI QIDQ903603

Byung Suk Lee, Saurav Acharya

Publication date: 14 January 2016

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2013.09.022

zbMATH Keywords

data miningtemporal reasoningBayesian networkcausal modelingdata engineeringevent stream processing

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (2)

Identification of structures and causation in flow graphs ⋮ Achieving a compromise between performance and complexity of structure: an incremental approach

Uses Software

• UCI-ml

Cites Work

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• Optimization by Simulated Annealing
• The max-min hill-climbing Bayesian network structure learning algorithm
• Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions
• Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach
• Learning Causal Bayesian Network Structures From Experimental Data
• 10.1162/153244302760200696
• Investigating Causal Relations by Econometric Models and Cross-spectral Methods

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