{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T10:06:59Z","timestamp":1760522819950,"version":"3.37.3"},"publisher-location":"Berlin, Heidelberg","reference-count":25,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540214595"},{"type":"electronic","value":"9783540246947"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004]]},"DOI":"10.1007\/978-3-540-24694-7_54","type":"book-chapter","created":{"date-parts":[[2010,8,2]],"date-time":"2010-08-02T17:40:16Z","timestamp":1280770816000},"page":"527-535","source":"Crossref","is-referenced-by-count":3,"title":["Bayes-N: An Algorithm for Learning Bayesian Networks from Data Using Local Measures of Information Gain Applied to Classification Problems"],"prefix":"10.1007","author":[{"given":"Manuel","family":"Mart\u00ednez-Morales","sequence":"first","affiliation":[]},{"given":"Nicandro","family":"Cruz-Ram\u00edrez","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 Luis","family":"Jim\u00e9nez-Andrade","sequence":"additional","affiliation":[]},{"given":"Ramiro","family":"Garza-Dom\u00ednguez","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"54_CR1","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, 2nd edn. Morgan Kauffman Pub., Inc., San Francisco (1988)","edition":"2"},{"key":"54_CR2","volume-title":"Probabilistic Networks and Expert Systems","author":"R.G. Cowell","year":"1999","unstructured":"Cowell, R.G., Dawid, A.P., Lauritzen, S.L.: Probabilistic Networks and Expert Systems. Springer, Heidelberg (1999)"},{"key":"54_CR3","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3502-4","volume-title":"Bayesian Networks and Decision Graphs","author":"F.V. Jensen","year":"2001","unstructured":"Jensen, F.V.: Bayesian Networks and Decision Graphs. Springer, Heidelberg (2001)"},{"key":"54_CR4","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1023\/A:1007465528199","volume":"29","author":"N. Freidman","year":"1997","unstructured":"Freidman, N., Geiger, D., Goldszmidt, S.: Bayesian Networks classifiers. Machine Learning\u00a029, 131\u2013161 (1997)","journal-title":"Machine Learning"},{"key":"54_CR5","volume-title":"C4.5: Programs for Machine Learning","author":"J.R. Quinlan","year":"1993","unstructured":"Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993)"},{"key":"54_CR6","unstructured":"Martinez-Morales, M.: An Algorithm for the Induction of Probabilistic Networks from Data. XII Reunion Nacional de Inteligencia Artificial, ITESM, Cuernavaca, Morelos, Mexico, Limusa. (1995)"},{"key":"54_CR7","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1177\/089443939100900106","volume":"9","author":"P. Spirtes","year":"1991","unstructured":"Spirtes, P., Glymour, C., Scheines, R.: An algorithm for fast recovery of sparse causal graphs. Social Science Computer Review\u00a09, 62\u201372 (1991)","journal-title":"Social Science Computer Review"},{"key":"54_CR8","unstructured":"Cruz-Ramirez, N.: Building Bayesian Networks From Data: a Constraint Based Approach. Ph D Thesis. Department of Psychology, The University of Sheffield (2001)"},{"key":"54_CR9","first-page":"309","volume":"9","author":"G.F. Cooper","year":"1992","unstructured":"Cooper, G.F., Herskovits, E.: A Bayesian Method for the induction of probabilistic networks from data. Machine Learning\u00a09, 309\u2013347 (1992)","journal-title":"Machine Learning"},{"key":"54_CR10","volume-title":"Information Theory and Statistics","author":"S. Kullback","year":"1949","unstructured":"Kullback, S.: Information Theory and Statistics. Dover, New York (1949)"},{"key":"54_CR11","doi-asserted-by":"publisher","first-page":"55","DOI":"10.2307\/2284848","volume":"66","author":"H.H. Ku","year":"1971","unstructured":"Ku, H.H., Varner, R.N., Kullback, S.: Analysis of Multidimensional Contingency Tables. J. Amer. Statist. Assoc.\u00a066, 55\u201364 (1971)","journal-title":"J. Amer. Statist. Assoc."},{"key":"54_CR12","volume-title":"The Analysis of Cross-Classified Categorical Data","author":"S.E. Feinberg","year":"1981","unstructured":"Feinberg, S.E.: The Analysis of Cross-Classified Categorical Data. The MIT Press, Cambridge (1981)"},{"key":"54_CR13","volume-title":"Graphical Models in Applied Multivariate Analysis","author":"J. Whittaker","year":"1990","unstructured":"Whittaker, J.: Graphical Models in Applied Multivariate Analysis. John Wiley, Chichester (1990)"},{"key":"54_CR14","volume-title":"The mathematical theory of communication","author":"C.E. Shannon","year":"1949","unstructured":"Shannon, C.E., Weaver, W.: The mathematical theory of communication. University of Illinois Press, Urbana (1949)"},{"key":"54_CR15","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-2748-9","volume-title":"Causation, Prediction and Search","author":"P. Spirtes","year":"1993","unstructured":"Spirtes, P., Glymour, C.: Causation, Prediction and Search. Springer, Heidelberg (1993)"},{"key":"54_CR16","volume-title":"Mathematical Statistics: Basic Ideas and Selected Topics","author":"P.J. Bickel","year":"1977","unstructured":"Bickel, P.J., Doksum, K.A.: Mathematical Statistics: Basic Ideas and Selected Topics. Holden Day, Inc., Oakland (1977)"},{"key":"54_CR17","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1136\/bmj.310.6973.170","volume":"310","author":"J.M. Bland","year":"1995","unstructured":"Bland, J.M., Altman, D.G.: Multiple significance tests: the Bonferroni method. BMJ\u00a0310, 170 (1995)","journal-title":"BMJ"},{"key":"54_CR18","unstructured":"Cruz-Ramirez, N., Martinez-Morales, M.: Un algoritmo para generar redes Bayesianas a partir de Datos estad\u00edsticos. Primer Encuentro Nacional de Computaci\u00f3n, ENC 1997, Quer\u00e9taro (1997)"},{"key":"54_CR19","volume-title":"14th International Joint Conference on Artificial Intelligence IJCAI 1995","author":"R. Kohavi","year":"1995","unstructured":"Kohavi, R.: A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection. In: 14th International Joint Conference on Artificial Intelligence IJCAI 1995, Montreal, Canada, Morgan Kaufmann, San Francisco (1995)"},{"key":"54_CR20","series-title":"Concepts and Techniques","volume-title":"Data Mining","author":"J. Han","year":"2001","unstructured":"Han, J., Kamber, M.: Data Mining. Concepts and Techniques. Morgan Kaufmann, San Francisco (2001)"},{"key":"54_CR21","doi-asserted-by":"crossref","unstructured":"Cooper, G.F.: An Overview of the Representation and Discovery of Causal Relationships using Bayesian Networks. In: Glymour, C., Cooper, G.F. (eds.) Computation, Causation & Discovery, vol.\u00a03-62, AAAI Press \/ MIT Press (1999)","DOI":"10.7551\/mitpress\/2006.003.0002"},{"key":"54_CR22","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1046\/j.1365-2303.1998.00135.x","volume":"8","author":"S.S. Cross","year":"1998","unstructured":"Cross, S.S., Dube, A.K., et al.: Evaluation of a statistically derived decision tree for the cytodiagnosis of fine needle aspirates of the breast (FNAB). Cytopathology\u00a08, 178\u2013187 (1998)","journal-title":"Cytopathology"},{"key":"54_CR23","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1142\/9789812792488_0007","volume-title":"Artificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis","author":"S.S. Cross","year":"2000","unstructured":"Cross, S.S., Downs, J., et al.: Which Decision Support Technologies Are Appropriate for the Cytodiagnosis of Breast Cancer? In: Jain, A., Jain, A., Jain, S., Jain, L. (eds.) Artificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis, vol.\u00a039, pp. 265\u2013295. World Scientific, Singapore (2000)"},{"key":"54_CR24","unstructured":"Norsys. Norsys Software Corporation, Electronic source (2001), http:\/\/www.norsys.com"},{"key":"54_CR25","doi-asserted-by":"crossref","unstructured":"Heckerman, D., Geiger, D., et al.: Learning Bayesian Networks: The combination of knowledge and statistical data, Technical Report MSR-TR-94-09, Microsoft Research, Redmond, Washington (1994)","DOI":"10.1016\/B978-1-55860-332-5.50042-0"}],"container-title":["Lecture Notes in Computer Science","MICAI 2004: Advances in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-24694-7_54","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,23]],"date-time":"2025-02-23T18:15:27Z","timestamp":1740334527000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-24694-7_54"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004]]},"ISBN":["9783540214595","9783540246947"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-24694-7_54","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2004]]}}}