{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:31:04Z","timestamp":1760707864465,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":12,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540745525"},{"type":"electronic","value":"9783540745532"}],"license":[{"start":{"date-parts":[[2007,1,1]],"date-time":"2007-01-01T00:00:00Z","timestamp":1167609600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007]]},"DOI":"10.1007\/978-3-540-74553-2_33","type":"book-chapter","created":{"date-parts":[[2007,8,22]],"date-time":"2007-08-22T23:07:48Z","timestamp":1187824068000},"page":"355-364","source":"Crossref","is-referenced-by-count":2,"title":["A Markov Blanket Based Strategy to Optimize the Induction of Bayesian Classifiers When Using Conditional Independence Learning Algorithms"],"prefix":"10.1007","author":[{"given":"Sebastian D. C.","family":"de O. Galv\u00e3o","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"suffix":"Jr.","given":"Estevam R.","family":"Hruschka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"33_CR1","doi-asserted-by":"crossref","unstructured":"Beinlich, I., Suermondt, H.J., Chavez, R.M., Cooper, G.F.: The ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks. In: Proc. of the Second European Conf. on Artificial Intelligence in Medicine, London, UK, vol.\u00a038, pp. 247\u2013256 (1989)","DOI":"10.1007\/978-3-642-93437-7_28"},{"key":"33_CR2","unstructured":"Blake, C.L., Merz, C.J.: UCI Repository of Machine Learning Databases, University of California, Department of Information and Computer Science, Irvine, CA (1998)"},{"issue":"1","key":"33_CR3","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/S0004-3702(02)00191-1","volume":"137","author":"J. Cheng","year":"2002","unstructured":"Cheng, J., Greiner, R., Kelly, J., Bell, D., Liu, W.: Learning Bayesian networks from data: an information-theory based approach. Artificial Intelligence\u00a0137(1), 43\u201390 (2002)","journal-title":"Artificial Intelligence"},{"key":"33_CR4","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1016\/j.artint.2006.03.001","volume":"170","author":"D.M. Chickering","year":"2006","unstructured":"Chickering, D.M., Meek, C.: On the incompatibility of faithfulness and monotone DAG faithfulness. Artificial Intelligence\u00a0170, 653\u2013666 (2006)","journal-title":"Artificial Intelligence"},{"key":"33_CR5","unstructured":"Druzdzel, M.J.: SMILE: Structural Modeling, Inference, and Learning Engine and GeNIe: A development environment for graphical decision-theoretic models (Intelligent Systems Demonstration). In: Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99), Menlo Park, CA, pp. 902\u2013903. AAAI Press\/The MIT Press (1999)"},{"key":"33_CR6","volume-title":"Pattern Classification and Scene Analysis","author":"R.O. Duda","year":"1973","unstructured":"Duda, R.O., Hart, P.E.: Pattern Classification and Scene Analysis. Wiley, New York (1973)"},{"key":"33_CR7","unstructured":"Hays, W.: Statistics. 5th edn. Wadsworth Publishing (1994)"},{"key":"33_CR8","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1007\/978-3-540-24840-8_26","volume-title":"Advances in Artificial Intelligence","author":"E.R. Hruschka Jr.","year":"2004","unstructured":"Hruschka Jr., E.R., Hruschka, E.R., Ebecken, N.F.F.: Feature Selection by Bayesian Networks. In: Tawfik, A.Y., Goodwin, S.D. (eds.) Canadian AI 2004. LNCS (LNAI), vol.\u00a03060, pp. 370\u2013379. Springer, Heidelberg (2004)"},{"key":"33_CR9","volume-title":"Learning Bayesian networks","author":"R.E. Neapolitan","year":"2003","unstructured":"Neapolitan, R.E.: Learning Bayesian networks. Prentice-Hall, Upper Saddle River, NJ (2003)"},{"key":"33_CR10","volume-title":"Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference","author":"J. Pearl","year":"1988","unstructured":"Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, San Mateo, CA (1988)"},{"key":"33_CR11","unstructured":"Spirtes, P., Meek, C.: Learning Bayesian networks with discrete variables from data. In: KDD 1995, pp. 294\u2013299 (1995)"},{"key":"33_CR12","volume-title":"Adaptive Computation and Machine Learning","author":"P. Spirtes","year":"2001","unstructured":"Spirtes, P., Glymour, C., Scheines, R.: Causation, Prediction, and Search. In: Adaptive Computation and Machine Learning, MIT Press, Cambridge, Massachusetts (2001)"}],"container-title":["Lecture Notes in Computer Science","Data Warehousing and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-74553-2_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,29]],"date-time":"2020-01-29T09:46:19Z","timestamp":1580291179000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-74553-2_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007]]},"ISBN":["9783540745525","9783540745532"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-74553-2_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2007]]}}}