{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T00:01:55Z","timestamp":1771891315851,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540566021","type":"print"},{"value":"9783540475972","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1993]]},"DOI":"10.1007\/3-540-56602-3_134","type":"book-chapter","created":{"date-parts":[[2012,2,26]],"date-time":"2012-02-26T06:18:39Z","timestamp":1330237119000},"page":"153-164","source":"Crossref","is-referenced-by-count":32,"title":["Induction of recursive Bayesian classifiers"],"prefix":"10.1007","author":[{"given":"Pat","family":"Langley","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2005,6,1]]},"reference":[{"key":"11_CR1","volume-title":"Classification and regression trees","author":"L. Brieman","year":"1984","unstructured":"Brieman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984). Classification and regression trees. Belmont: Wadsworth."},{"key":"11_CR2","unstructured":"Cestnik, G. (1990). Estimating probabilities: A crucial task for machine learning. Proceedings of the Ninth European Conference on Artificial Intelligence (pp. 147\u2013149). Stockholm, Sweden."},{"key":"11_CR3","first-page":"261","volume":"3","author":"P. Clark","year":"1989","unstructured":"Clark, P., & Niblett, T. (1989). The CN2 induction algorithm. Machine Learning, 3, 261\u2013284.","journal-title":"Machine Learning"},{"key":"11_CR4","volume-title":"Pattern classification and scene analysis","author":"R. O. Duda","year":"1973","unstructured":"Duda, R. O., & Hart, P. E. (1973). Pattern classification and scene analysis. New York: John Wiley & Sons."},{"key":"11_CR5","volume-title":"Computers and thought","author":"E. A. Feigenbaum","year":"1963","unstructured":"Feigenbaum, E. A. (1963). The simulation of verbal learning behavior. In E. A. Feigenbaum & J. Feldman (Eds.), Computers and thought. New York: McGraw-Hill."},{"key":"11_CR6","first-page":"139","volume":"2","author":"D. H. Fisher","year":"1987","unstructured":"Fisher, D. H. (1987). Knowledge acquisition via incremental conceptual clustering. Machine Learning, 2, 139\u2013172.","journal-title":"Machine Learning"},{"key":"11_CR7","volume-title":"Current trends in knowledge acquisition","author":"I. Kononenko","year":"1990","unstructured":"Kononenko, I. (1990). Comparison of inductive and naive Bayesian learning approaches to automatic knowledge acquisition. In B. Wielinga et al. (Eds.), Current trends in knowledge acquisition. Amsterdam: IOS Press."},{"key":"11_CR8","first-page":"206","volume-title":"Proceedings of the Sixth European Working Session on Learning","author":"I. Kononenko","year":"1991","unstructured":"Kononenko, I. (1991). Semi-naive Bayesian classifier. Proceedings of the Sixth European Working Session on Learning (pp. 206\u2013219). Porto: Pittman."},{"key":"11_CR9","first-page":"223","volume-title":"An analysis of Bayesian classifiers","author":"P. Langley","year":"1992","unstructured":"Langley, P., Iba, W., & Thompson, K. (1992). An analysis of Bayesian classifiers. Proceedings of the Tenth National Conference on Artificial Intelligence (pp. 223\u2013228). San Jose, CA: AAAI Press."},{"key":"11_CR10","volume-title":"Machine intelligence 12","author":"D. Miche","year":"1991","unstructured":"Miche, D., & Al Attar, A. (1991). Use of sequential Bayes with class probability trees. In J. E. Hayes-Michie, D. Michie, & E. Tyugu (Eds.), Machine intelligence 12. Oxford: Oxford University Press."},{"key":"11_CR11","volume-title":"C4.5: Programs for induction","author":"J. R. Quinlan","year":"1993","unstructured":"Quinlan, J. R. (1993). C4.5: Programs for induction. San Mateo, CA: Morgan Kaufmann."},{"key":"11_CR12","volume-title":"Dissertation","author":"G. G. Towell","year":"1991","unstructured":"Towell, G. G. (1991). Symbolic knowledge and neural networks: Insertion, refinement, and extraction. Dissertation, Department of Computer Science, University of Wisconsin, Madison."},{"key":"11_CR13","first-page":"58","volume-title":"An incremental method for finding multivariate splits for decision trees","author":"P. E. Utgoff","year":"1990","unstructured":"Utgoff, P. E., & Brodley, C. E. (1990). An incremental method for finding multivariate splits for decision trees. Proceedings of the Seventh International Conference on Machine Learning (pp. 58\u201365). Austin, TX: Morgan Kaufmann."}],"container-title":["Lecture Notes in Computer Science","Machine Learning: ECML-93"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-56602-3_134.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T20:53:38Z","timestamp":1619556818000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-56602-3_134"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1993]]},"ISBN":["9783540566021","9783540475972"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/3-540-56602-3_134","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[1993]]}}}