{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T16:50:22Z","timestamp":1730220622711,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,9]]},"DOI":"10.1109\/etfa.2014.7005172","type":"proceedings-article","created":{"date-parts":[[2015,1,13]],"date-time":"2015-01-13T21:34:59Z","timestamp":1421184899000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["A Bayesian predictive assistance system for resource optimization \u2014 A case study in industrial cleaning process"],"prefix":"10.1109","author":[{"given":"Ganesh Man","family":"Shrestha","sequence":"first","affiliation":[{"name":"inIT-Institut Industrial IT, Ostwestfalen-Lippe University of Applied Sciences, Liebigstrae 87, 32657 Lemgo, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oliver","family":"Niggemann","sequence":"additional","affiliation":[{"name":"inIT-Institut Industrial IT, Ostwestfalen-Lippe University of Applied Sciences, Liebigstrae 87, 32657 Lemgo, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Bayesian Networks in Medicine: a Model-based Approach to Medical Decision Making","author":"lucas","year":"0","journal-title":"CiteSeer"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1243\/1748006XJRR161"},{"key":"ref12","first-page":"955","article-title":"Bayesian networks in business analytics","author":"ashcroft","year":"2012","journal-title":"Federated Conference on Computer Science and Information Systems (FedCSIS)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SPW.2013.35"},{"key":"ref14","article-title":"A belief network approach to optimization and parameter estimation-application to resource and environmental management","author":"varis","year":"1998","journal-title":"Artificial Intelligence 101"},{"article-title":"Applying Bayesian Forecasting to Predict New Customers Heating Oil Demand","year":"2009","author":"sakauchi","key":"ref15"},{"key":"ref16","article-title":"Bayesian Belief Networks for Predicting Drinking Water Distribution System Pipe Breaks","author":"francis","year":"2012","journal-title":"PSAM11\/ESREL12"},{"journal-title":"Guidelines for the use of Bayesian networks as a participatory tool for Water Resource Management Centre for Ecology and Hydrology","year":"2005","author":"bromley","key":"ref17"},{"journal-title":"Self Learning Energy Efficient BuilDings and Open Spaces(SEEDS)","year":"0","key":"ref18"},{"journal-title":"Artificial Intelligence A Modern Approach","year":"1995","author":"russell","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/2.485891"},{"key":"ref6","first-page":"50","article-title":"Bayesian Networks without Tears: Making Bayesian Networks More Accessible to the Probabilistically Unsophisticated","volume":"12","author":"charniak","year":"1991","journal-title":"AAAI"},{"key":"ref5","article-title":"A tutorial on Learning with Bayesian Networks","author":"heckerman","year":"0","journal-title":"Learning in Graphical Models 1996"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1272457.1272467"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1201\/b10391"},{"key":"ref2","article-title":"LAND-SCAPE LOGIC","author":"pollino","year":"2010","journal-title":"Bayesian Networks-A Guide for Their Application in Natural Resource Management and Policy"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.2172713"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1007\/978-3-642-11688-9_20","article-title":"Bayesian Networks for Expert Systems-Theory and Practical Applications","volume":"281","author":"wiegerinck","year":"2010","journal-title":"Interactive Collaborative Information Systems"},{"year":"2013","key":"ref20","article-title":"R version 3.0.2-The R Project for Statistical Computing"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v035.i03","article-title":"Learning Bayesian Networks with the bnlearn R Package","volume":"35","author":"scutari","year":"2010","journal-title":"Journal of Statistical Software"}],"event":{"name":"2014 IEEE Emerging Technology and Factory Automation (ETFA)","start":{"date-parts":[[2014,9,16]]},"location":"Barcelona, Spain","end":{"date-parts":[[2014,9,19]]}},"container-title":["Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6994138\/7005023\/07005172.pdf?arnumber=7005172","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,8]],"date-time":"2021-06-08T08:39:58Z","timestamp":1623141598000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7005172\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,9]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/etfa.2014.7005172","relation":{},"subject":[],"published":{"date-parts":[[2014,9]]}}}