{ "data_id": "45167", "name": "water_3", "exact_name": "water_3", "version": 1, "version_label": null, "description": "**Water Bayesian Network. Sample 3.**\n\nbnlearn Bayesian Network Repository reference: [URL](https:\/\/www.bnlearn.com\/bnrepository\/discrete-medium.html#water)\n\n- Number of nodes: 32\n\n- Number of arcs: 66\n\n- Number of parameters: 10083\n\n- Average Markov blanket size: 7.69\n\n- Average degree: 4.12\n\n- Maximum in-degree: 5\n\n**Authors**: F. V. Jensen, U. Kjaerulff, K. G. Olesen and J. Pedersen.\n\n**Please cite**: ([URL](https:\/\/www.semanticscholar.org\/paper\/MIDAS%3A-An-Influence-Diagram-for-Management-of-in-Jensen-Jensen\/a08ce2d88c66bb5bf7968bdadee87c2f91caeb2c)): F. V. Jensen, U. Kjaerulff, K. G. Olesen and J. Pedersen. Et Forprojekt Til et Ekspertsystem for Drift af Spildevandsrensning (An Expert System for Control of Waste Water Treatment - A Pilot Project). Technical Report, Judex Datasystemer A\/S, Aalborg, 1989. 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