{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T17:00:43Z","timestamp":1743008443561,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319016917"},{"type":"electronic","value":"9783319016924"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-01692-4_1","type":"book-chapter","created":{"date-parts":[[2013,8,12]],"date-time":"2013-08-12T04:30:22Z","timestamp":1376281822000},"page":"1-12","source":"Crossref","is-referenced-by-count":6,"title":["Extending the ABC-Miner Bayesian Classification Algorithm"],"prefix":"10.1007","author":[{"given":"Khalid M.","family":"Salama","sequence":"first","affiliation":[]},{"given":"Alex A.","family":"Freitas","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"1_CR1","unstructured":"UCI Repository of Machine Learning Databases, \n                    http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html\n                   (retrieved October 2011)"},{"issue":"3","key":"1_CR2","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1016\/S0888-613X(02)00091-9","volume":"31","author":"L.M. de Campos","year":"2002","unstructured":"de Campos, L.M., Fernandez-Luna, J.M., Gamez, J.A., Puerta, J.M.: Ant colony optimization for learning Bayesian networks. International Journal of Approximate Reasoning\u00a031(3), 291\u2013311 (2002)","journal-title":"International Journal of Approximate Reasoning"},{"key":"1_CR3","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/3-540-45153-6_14","volume-title":"Advances in Artificial Intelligence","author":"J. Cheng","year":"2001","unstructured":"Cheng, J., Greiner, R.: Learning bayesian belief network classifiers: Algorithms and system. In: Stroulia, E., Matwin, S. (eds.) Canadian AI 2001. LNCS (LNAI), vol.\u00a02056, pp. 141\u2013151. Springer, Heidelberg (2001)"},{"key":"1_CR4","doi-asserted-by":"crossref","unstructured":"Chickering, D.M.: Learning Bayesian Networks is NP-Complete. Advanced Technologies Division, Microsoft Corporation, Redmond, WA. Technical Report (1996)","DOI":"10.1007\/978-1-4612-2404-4_12"},{"issue":"2","key":"1_CR5","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1017\/S0269888910000251","volume":"26","author":"R. Daly","year":"2011","unstructured":"Daly, R., Shen, Q., Aitken, S.: Learning bayesian networks: Approaches and issues. Knowledge Engineering Reviews\u00a026(2), 99\u2013157 (2011)","journal-title":"Knowledge Engineering Reviews"},{"key":"1_CR6","doi-asserted-by":"crossref","unstructured":"Dorigo, M., St\u00fctzle, T.: Ant Colony Optimization. MIT Press (2004)","DOI":"10.7551\/mitpress\/1290.001.0001"},{"key":"1_CR7","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1023\/A:1007465528199","volume":"29","author":"N. Friedman","year":"1997","unstructured":"Friedman, N., Geiger, D., Goldszmidt, M., Provan, G., Langley, P., Smyth, P.: Bayesian Network Classifiers. Machine Learning\u00a029, 131\u2013163 (1997)","journal-title":"Machine Learning"},{"key":"1_CR8","series-title":"SCI","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/978-3-540-85066-3_3","volume-title":"Innovations in Bayesian Networks","author":"D. Heckerman","year":"2008","unstructured":"Heckerman, D.: A Tutorial on Learning with Bayesian Networks. In: Holmes, D.E., Jain, L.C. (eds.) Innovations in Bayesian Networks. SCI, vol.\u00a0156, pp. 33\u201382. Springer, Heidelberg (2008)"},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Japkowicz, N., Shah, M.: Evaluating Learning Algorithms: A Classification Perspective. Cambridge University Press (2011)","DOI":"10.1017\/CBO9780511921803"},{"key":"1_CR10","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1007\/978-3-540-73871-8_14","volume-title":"Advanced Data Mining and Applications","author":"L. Jiang","year":"2007","unstructured":"Jiang, L., Wang, D., Cai, Z., Yan, X.: Survey of improving na\u00efve-bayes for classification. In: Alhajj, R., Gao, H., Li, X., Li, J., Za\u00efane, O.R. (eds.) ADMA 2007. LNCS (LNAI), vol.\u00a04632, pp. 134\u2013145. Springer, Heidelberg (2007)"},{"key":"1_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1007\/BFb0017015","volume-title":"Machine Learning - EWSL-91","author":"I. Kononenko","year":"1991","unstructured":"Kononenko, I.: Semi-naive bayesian classifier. In: Kodratoff, Y. (ed.) EWSL 1991. LNCS, vol.\u00a0482, pp. 206\u2013219. Springer, Heidelberg (1991)"},{"key":"1_CR12","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1109\/TEVC.2006.890229","volume":"11","author":"D. Martens","year":"2007","unstructured":"Martens, D., Backer, M.D., Haesen, R., Vanthienen, J., Snoeck, M., Baesens, B.: Classification with ant colony optimization. IEEE Transactions on Evolutionary Computation\u00a011, 651\u2013665 (2007)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"1","key":"1_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10994-010-5216-5","volume":"82","author":"D. Martens","year":"2011","unstructured":"Martens, D., Baesens, B., Fawcett, T.: Editorial survey: swarm intelligence for data mining. Machine Learning\u00a082(1), 1\u201342 (2011)","journal-title":"Machine Learning"},{"issue":"4","key":"1_CR14","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1109\/TEVC.2002.802452","volume":"6","author":"R.S. Parpinelli","year":"2002","unstructured":"Parpinelli, R.S., Lopes, H.S., Freitas, A.A.: Data Mining with an Ant Colony Optimization Algorithm. IEEE Transactions on Evolutionary Computation\u00a06(4), 321\u2013332 (2002)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"1_CR15","unstructured":"Pearl, J.: Causality: Models, Reasoning and Inference. Cambridge University Press (2000)"},{"issue":"4","key":"1_CR16","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1109\/TEVC.2009.2024142","volume":"13","author":"P.C. Pinto","year":"2009","unstructured":"Pinto, P.C., N\u00e4gele, A., Dejori, M., Runkler, T.A.: Using a Local Discovery Ant Algorithm for Bayesian Network Structure Learning. IEEE Transactions on Evolutionary Computation\u00a013(4), 767\u2013779 (2009)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"1","key":"1_CR17","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1016\/j.asoc.2012.07.026","volume":"13","author":"K.M. Salama","year":"2012","unstructured":"Salama, K.M., Abdelbar, A.M., Otero, F.E., Freitas, A.A.: Utilizing Multiple Pheromones in an Ant-based Algorithm for Continuous-Attribute Classification Rule Discovery. Applied Soft Computing\u00a013(1), 667\u2013675 (2012)","journal-title":"Applied Soft Computing"},{"issue":"3-4","key":"1_CR18","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/s11721-011-0057-9","volume":"5","author":"K.M. Salama","year":"2011","unstructured":"Salama, K.M., Abdelbar, A., Freitas, A.A.: Multiple Pheromone Types and Other Extensions to the Ant-Miner Classification Rule Discovery Algorithm. Swarm Intelligence\u00a05(3-4), 149\u2013182 (2011)","journal-title":"Swarm Intelligence"},{"key":"1_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/978-3-642-32650-9_2","volume-title":"Swarm Intelligence","author":"K.M. Salama","year":"2012","unstructured":"Salama, K.M., Freitas, A.A.: ABC-Miner: an Ant-based Bayesian Classification Algorithm. In: Dorigo, M., Birattari, M., Blum, C., Christensen, A.L., Engelbrecht, A.P., Gro\u00df, R., St\u00fctzle, T. (eds.) ANTS 2012. LNCS, vol.\u00a07461, pp. 13\u201324. Springer, Heidelberg (2012)"},{"key":"1_CR20","doi-asserted-by":"crossref","unstructured":"Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 3rd edn. Morgan Kaufmann (2010)","DOI":"10.1016\/B978-0-12-374856-0.00001-8"},{"key":"1_CR21","doi-asserted-by":"crossref","unstructured":"Wu, Y., McCall, J., Corne, D.: Two novel Ant Colony Optimization approaches for Bayesian network structure learning. In: International Conference on Evolutionary Computation (CEC), pp. 1\u20137 (2010)","DOI":"10.1109\/CEC.2010.5586528"}],"container-title":["Studies in Computational Intelligence","Nature Inspired Cooperative Strategies for Optimization (NICSO 2013)"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-01692-4_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T17:17:12Z","timestamp":1706203032000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-01692-4_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319016917","9783319016924"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-01692-4_1","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2014]]}}}