{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T04:54:14Z","timestamp":1764996854500},"publisher-location":"Berlin, Heidelberg","reference-count":25,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642011832"},{"type":"electronic","value":"9783642011849"}],"license":[{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009]]},"DOI":"10.1007\/978-3-642-01184-9_12","type":"book-chapter","created":{"date-parts":[[2009,4,9]],"date-time":"2009-04-09T09:41:49Z","timestamp":1239270109000},"page":"128-139","source":"Crossref","is-referenced-by-count":44,"title":["Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets"],"prefix":"10.1007","author":[{"given":"Ajay Kumar","family":"Tanwani","sequence":"first","affiliation":[]},{"given":"Jamal","family":"Afridi","sequence":"additional","affiliation":[]},{"given":"M. Zubair","family":"Shafiq","sequence":"additional","affiliation":[]},{"given":"Muddassar","family":"Farooq","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"12_CR1","doi-asserted-by":"publisher","first-page":"119","DOI":"10.2481\/dsj.5.119","volume":"5","author":"S. Wasan","year":"2006","unstructured":"Wasan, S., Bhatnagar, V., Kaur, H.: The impact of data mining techniques on medical diagnostics. Data Science Journal\u00a05, 119\u2013126 (2006)","journal-title":"Data Science Journal"},{"issue":"1","key":"12_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0933-3657(99)00047-0","volume":"19","author":"C.A. Pena-Reyes","year":"2000","unstructured":"Pena-Reyes, C.A., Sipper, M.: Evolutionary computation in medicine: an overview. Journal of Artificial Intelligence in Medicine\u00a019(1), 1\u201323 (2000)","journal-title":"Journal of Artificial Intelligence in Medicine"},{"key":"12_CR3","first-page":"90","volume":"4","author":"A.G.K. Janecek","year":"2008","unstructured":"Janecek, A.G.K., Gansterer, W.N., Demel, M.A., Ecker, G.F.: On the relationship between feature selection and classification accuracy. Journal of Machine Learning and Research\u00a04, 90\u2013105 (2008)","journal-title":"Journal of Machine Learning and Research"},{"key":"12_CR4","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1613\/jair.614","volume":"11","author":"D. Opitz","year":"1999","unstructured":"Opitz, D., Maclin, R.: Popular ensemble methods: an empirical study. Journal of Artificial Intelligence Research\u00a011, 169\u2013198 (1999)","journal-title":"Journal of Artificial Intelligence Research"},{"key":"12_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-540-78757-0_1","volume-title":"Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics","author":"A. Assareh","year":"2008","unstructured":"Assareh, A., Moradi, M.H., Volkert, L.G.: A hybrid random subspace classifier fusion approach for protein mass spectra classification. In: Marchiori, E., Moore, J.H. (eds.) EvoBIO 2008. LNCS, vol.\u00a04973, pp. 1\u201311. Springer, Heidelberg (2008)"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Hayward, J., Alvarez, S., Ruiz, C., Sullivan, M., Tseng, J., Whalen, G.: Knowledge discovery in clinical performance of cancer patients. In: IEEE International Conference on Bioinformatics and Biomedicine, USA, pp. 51\u201358 (2008)","DOI":"10.1109\/BIBM.2008.70"},{"issue":"1","key":"12_CR7","doi-asserted-by":"crossref","first-page":"6","DOI":"10.24105\/ejbi.2006.02.1.1","volume":"2","author":"J.I. Serrano","year":"2006","unstructured":"Serrano, J.I., Tomeckova, M., Zvarova, J.: Machine learning methods for knowledge discovery in medical data on Atherosclerosis. European Journal for Biomedical Informatics\u00a02(1), 6\u201333 (2006)","journal-title":"European Journal for Biomedical Informatics"},{"issue":"1","key":"12_CR8","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/S0933-3657(01)00077-X","volume":"23","author":"I. Kononenko","year":"1995","unstructured":"Kononenko, I.: Machine learning for medical diagnosis: History, state of the art and perspective. Artificial Intelligence in Medicine\u00a023(1), 89\u2013109 (1995)","journal-title":"Artificial Intelligence in Medicine"},{"key":"12_CR9","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/S0933-3657(98)00062-1","volume":"16","author":"N. Lavrac","year":"1999","unstructured":"Lavrac, N.: Selected techniques for data mining in medicine. Artificial Intelligence in Medicine\u00a016, 3\u201323 (1999)","journal-title":"Artificial Intelligence in Medicine"},{"key":"12_CR10","unstructured":"UCI repository of machine learning databases, University of California-Irvine, Department of Information and Computer Science, \n                  \n                    www.ics.uci.edu\/~mlearn\/MLRepository.html"},{"key":"12_CR11","unstructured":"Ovarian cancer studies, center for cancer research, National Cancer Institute, USA, \n                  \n                    http:\/\/home.ccr.cancer.gov\/ncifdaproteomics\/ppatterns.asp"},{"key":"12_CR12","volume-title":"Data mining: practical machine learning tools and techniques","author":"I.H. Witten","year":"2005","unstructured":"Witten, I.H., Frank, E.: Data mining: practical machine learning tools and techniques, 2nd edn. Morgan Kaufmann, San Francisco (2005)","edition":"2"},{"key":"12_CR13","first-page":"1157","volume":"3","author":"I. Guyon","year":"2003","unstructured":"Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. Journal of Machine Learning and Research\u00a03, 1157\u20131182 (2003)","journal-title":"Journal of Machine Learning and Research"},{"key":"12_CR14","unstructured":"Rish, I.: An empirical study of the naive Bayes classifier. In: IJCAI Workshop on Empirical Methods in Artifical Intelligence, pp. 41\u201346 (2001)"},{"key":"12_CR15","volume-title":"Neural networks: a comprehensive foundation","author":"S. Haykin","year":"1998","unstructured":"Haykin, S.: Neural networks: a comprehensive foundation, 2nd edn. Pearson Education, London (1998)","edition":"2"},{"issue":"1","key":"12_CR16","first-page":"37","volume":"6","author":"D.W. Aha","year":"1991","unstructured":"Aha, D.W., Kibler, D., Albert, M.K.: Instance based learning algorithms. Machine Learning\u00a06(1), 37\u201366 (1991)","journal-title":"Machine Learning"},{"key":"12_CR17","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":"12_CR18","volume-title":"Statistical learning theory","author":"V.N. Vapnik","year":"1998","unstructured":"Vapnik, V.N.: Statistical learning theory. Wiley Interscience, USA (1998)"},{"key":"12_CR19","doi-asserted-by":"crossref","unstructured":"Cohen, W.W.: Fast effective rule induction. In: Proceedings of Twelfth International Conference on Machine Learning, USA, pp. 115\u2013123 (1995)","DOI":"10.1016\/B978-1-55860-377-6.50023-2"},{"issue":"2","key":"12_CR20","first-page":"123","volume":"24","author":"L. Breiman","year":"1996","unstructured":"Breiman, L.: Bagging Predictors. Machine Learning\u00a024(2), 123\u2013140 (1996)","journal-title":"Machine Learning"},{"key":"12_CR21","unstructured":"Freund, Y., Schapire, R.: Experiments with a new boosting algorithm. In: Proceedings of the Thirteenth International Conference on Machine Learning, Italy, pp. 148\u2013156 (1996)"},{"key":"12_CR22","first-page":"866","volume-title":"Proceedings of the Fifteenth IJCAI","author":"K.M. Ting","year":"1997","unstructured":"Ting, K.M., Witten, I.H.: Stacked generalization: when does it work. In: Proceedings of the Fifteenth IJCAI, pp. 866\u2013871. Morgan Kaufmann, San Francisco (1997)"},{"key":"12_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1007\/978-3-540-24677-0_52","volume-title":"Innovations in Applied Artificial Intelligence","author":"H. Abe","year":"2004","unstructured":"Abe, H., Yamaguchi, T.: Constructive meta-learning with machine learning method repository. In: Orchard, B., Yang, C., Ali, M. (eds.) IEA\/AIE 2004. LNCS, vol.\u00a03029, pp. 502\u2013511. Springer, Heidelberg (2004)"},{"key":"12_CR24","unstructured":"Fawcett, T.: ROC graphs: notes and practical considerations for researchers, TR HPL-2003-4, HP Labs, USA (2004)"},{"issue":"13","key":"12_CR25","doi-asserted-by":"publisher","first-page":"2025","DOI":"10.1002\/sim.2103","volume":"24","author":"S.D. Walter","year":"2005","unstructured":"Walter, S.D.: The partial area under the summary ROC curve. Statistics in Medicine\u00a024(13), 2025\u20132040 (2005)","journal-title":"Statistics in Medicine"}],"container-title":["Lecture Notes in Computer Science","Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-01184-9_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,7]],"date-time":"2019-03-07T05:32:18Z","timestamp":1551936738000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-01184-9_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642011832","9783642011849"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-01184-9_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2009]]}}}