{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T08:45:07Z","timestamp":1771490707658,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540231059","type":"print"},{"value":"9783540301158","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004]]},"DOI":"10.1007\/978-3-540-30115-8_46","type":"book-chapter","created":{"date-parts":[[2010,9,18]],"date-time":"2010-09-18T03:24:16Z","timestamp":1284780256000},"page":"501-512","source":"Crossref","is-referenced-by-count":61,"title":["Naive Bayesian Classifiers for Ranking"],"prefix":"10.1007","author":[{"given":"Harry","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiang","family":"Su","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"46_CR1","unstructured":"Bennett, P.N.: Assessing the calibration of Naive Bayes\u2019 posterior estimates. Technical Report No. CMU-CS00-155 (2000)"},{"key":"46_CR2","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1016\/S0031-3203(96)00142-2","volume":"30","author":"A.P. Bradley","year":"1997","unstructured":"Bradley, A.P.: The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition\u00a030, 1145\u20131159 (1997)","journal-title":"Pattern Recognition"},{"key":"46_CR3","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1023\/A:1007413511361","volume":"29","author":"P. Domingos","year":"1997","unstructured":"Domingos, P., Pazzani, M.: Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier. Machine Learning\u00a029, 103\u2013130 (1997)","journal-title":"Machine Learning"},{"key":"46_CR4","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. A Wiley-Interscience Publication, Hoboken (1973)"},{"key":"46_CR5","first-page":"139","volume-title":"Proceedings of the 19th International Conference on Machine Learning","author":"C. Ferri","year":"2002","unstructured":"Ferri, C., Flach, P.A., Hern\u00e1ndez-Orallo, J.: Learning Decision Trees Using the Area Under the ROC Curve. In: Proceedings of the 19th International Conference on Machine Learning, pp. 139\u2013146. Morgan Kaufmann, San Francisco (2002)"},{"key":"46_CR6","first-page":"416","volume-title":"Proceedings of the 20th International conference on Machine Learning","author":"N. Lachiche","year":"2003","unstructured":"Lachiche, N., Flach, P.A.: Improving Accuracy and Cost of Two-class and Multiclass Probabilistic Classifiers Using ROC Curves. In: Proceedings of the 20th International conference on Machine Learning, pp. 416\u2013423. Morgan Kaufmann, San Francisco (2003)"},{"issue":"1","key":"46_CR7","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1007670802811","volume":"41","author":"E. Frank","year":"2000","unstructured":"Frank, E., Trigg, L., Holmes, G., Witten, I.H.: Naive Bayes for Regression. Machine Learning\u00a041(1), 5\u201315 (2000)","journal-title":"Machine Learning"},{"key":"46_CR8","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1023\/A:1007465528199","volume":"29","author":"N. Friedman","year":"1997","unstructured":"Friedman, N., Greiger, D., Goldszmidt, M.: Bayesian Network Classifiers. Machine Learning\u00a029, 103\u2013130 (1997)","journal-title":"Machine Learning"},{"key":"46_CR9","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1023\/A:1010920819831","volume":"45","author":"D.J. Hand","year":"2001","unstructured":"Hand, D.J., Till, R.J.: A simple generalisation of the area under the ROC curve for multiple class classification problems. Machine Learning\u00a045, 171\u2013186 (2001)","journal-title":"Machine Learning"},{"key":"46_CR10","volume-title":"Current Trends in Knowledge Acquisition","author":"I. Kononenko","year":"1990","unstructured":"Kononenko, I.: Comparison of Inductive and Naive Bayesian Learning Approaches to Automatic Knowledge Acquisition. In: Current Trends in Knowledge Acquisition, IOS Press, Amsterdam (1990)"},{"key":"46_CR11","first-page":"329","volume-title":"Proceedings of the International Joint Conference on Artificial Intelligence IJCAI 2003","author":"C.X. Ling","year":"2003","unstructured":"Ling, C.X., Huang, J., Zhang, H.: AUC: a statistically consistent and more discriminating measure than accuracy. In: Proceedings of the International Joint Conference on Artificial Intelligence IJCAI 2003, pp. 329\u2013341. Morgan Kaufmann, San Francisco (2003)"},{"key":"46_CR12","first-page":"480","volume-title":"Proceedings of the 20th International Conference on Machine Learning","author":"C.X. Ling","year":"2003","unstructured":"Ling, C.X., Yan, R.J.: Decision Tree with Better Ranking. In: Proceedings of the 20th International Conference on Machine Learning, pp. 480\u2013487. Morgan Kaufmann, San Francisco (2003)"},{"key":"46_CR13","unstructured":"Merz, C., Murphy, P., Aha, D.: UCI repository of machine learning databases. Dept of ICS, University of California, Irvine (1997), \n                    \n                      http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html"},{"key":"46_CR14","first-page":"217","volume-title":"Proceedings of the 11th International conference on Machine Learning","author":"M. Pazzani","year":"1994","unstructured":"Pazzani, M., Merz, P., Murphy, C., Ali, P., Hume, K., Brunk, T., Reducing, C.: misclassification costs. In: Proceedings of the 11th International conference on Machine Learning, pp. 217\u2013225. Morgan Kaufmann, San Francisco (1994)"},{"key":"46_CR15","first-page":"43","volume-title":"Proceedings of the Third International Conference on Knowledge Discovery and Data Mining","author":"F. Provost","year":"1997","unstructured":"Provost, F., Fawcett, T.: Analysis and visualization of classifier performance: comparison under imprecise class and cost distribution. In: Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, pp. 43\u201348. AAAI Press, Menlo Park (1997)"},{"key":"46_CR16","first-page":"445","volume-title":"Proceedings of the Fifteenth International Conference on Machine Learning","author":"F. Provost","year":"1998","unstructured":"Provost, F., Fawcett, T., Kohavi, R.: The case against accuracy estimation for comparing induction algorithms. In: Proceedings of the Fifteenth International Conference on Machine Learning, pp. 445\u2013453. Morgan Kaufmann, San Francisco (1998)"},{"issue":"3","key":"46_CR17","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1023\/A:1024099825458","volume":"52","author":"F.J. Provost","year":"2003","unstructured":"Provost, F.J., Domingos, P.: Tree Induction for Probability-Based Ranking. Machine Learning\u00a052(3), 199\u2013215 (2003)","journal-title":"Machine Learning"},{"key":"46_CR18","doi-asserted-by":"publisher","first-page":"1285","DOI":"10.1126\/science.3287615","volume":"240","author":"J. Swets","year":"1988","unstructured":"Swets, J.: Measuring the accuracy of diagnostic systems. Science\u00a0240, 1285\u20131293 (1988)","journal-title":"Science"},{"key":"46_CR19","first-page":"609","volume-title":"Proceedings of the Eighteenth International conference on Machine Learning","author":"B. Zadrozny","year":"2001","unstructured":"Zadrozny, B., Elkan, C.: Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers. In: Proceedings of the Eighteenth International conference on Machine Learning, pp. 609\u2013616. Morgan Kaufmann, San Francisco (2001)"},{"key":"46_CR20","volume-title":"Data Mining \u2013Practical Machine Learning Tools and Techniques with Java Implementation","author":"I.H. Witten","year":"2000","unstructured":"Witten, I.H., Frank, E.: Data Mining \u2013Practical Machine Learning Tools and Techniques with Java Implementation. Morgan Kaufmann, San Francisco (2000)"}],"container-title":["Lecture Notes in Computer Science","Machine Learning: ECML 2004"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-30115-8_46.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T03:46:14Z","timestamp":1620013574000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-30115-8_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004]]},"ISBN":["9783540231059","9783540301158"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-30115-8_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2004]]}}}