{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T04:54:36Z","timestamp":1725512076200},"publisher-location":"Berlin, Heidelberg","reference-count":24,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540717003"},{"type":"electronic","value":"9783540717010"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-71701-0_42","type":"book-chapter","created":{"date-parts":[[2007,6,20]],"date-time":"2007-06-20T15:31:38Z","timestamp":1182353498000},"page":"425-432","source":"Crossref","is-referenced-by-count":1,"title":["Supportive Utility of Irrelevant Features in Data Preprocessing"],"prefix":"10.1007","author":[{"given":"Sam","family":"Chao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiping","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingchui","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"42_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45372-5_58","volume-title":"Feature Selection for Knowledge Discovery and Data Mining","author":"H. Liu","year":"2000","unstructured":"Liu, H., Motoda, H.: Feature Selection for Knowledge Discovery and Data Mining. Kluwer Academic Publishers, Dordrecht (2000)"},{"key":"42_CR2","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1109\/ICDM.2002.1183917","volume-title":"Proceedings of IEEE International Conference on Data Mining, ICDM","author":"L.C. Molina","year":"2002","unstructured":"Molina, L.C., Belanche, L., Nebot, A.: Feature Selection Algorithms: A Survey and Experimental Evaluation. In: Proceedings of IEEE International Conference on Data Mining, ICDM, pp. 306\u2013313. IEEE Computer Society Press, Los Alamitos (2002)"},{"issue":"3","key":"42_CR3","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/S1088-467X(97)00008-5","volume":"1","author":"M. Dash","year":"1997","unstructured":"Dash, M., Liu, H.: Feature Selection for Classification. Intelligent Data Analysis\u00a01(3), 131\u2013156 (1997)","journal-title":"Intelligent Data Analysis"},{"key":"42_CR4","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4899-2939-6","volume-title":"Subset Selection in Regression","author":"A.J. Miller","year":"1990","unstructured":"Miller, A.J.: Subset Selection in Regression. Chapman and Hall, Boca Raton (1990)"},{"key":"42_CR5","volume-title":"Pattern Recognition: A Statistical Approach","author":"P.A. Devijver","year":"1982","unstructured":"Devijver, P.A., Kittler, J.: Pattern Recognition: A Statistical Approach. Prentice-Hall International, Englewood Cliffs (1982)"},{"key":"42_CR6","doi-asserted-by":"crossref","unstructured":"John, G.H., Kohavi, R., Pfleger, K.: Irrelevant Features and the Subset Selection Problem. In: Proceedings of the Eleventh International Conference on Machine learning, pp. 121\u2013129 (1994)","DOI":"10.1016\/B978-1-55860-335-6.50023-4"},{"key":"42_CR7","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1109\/ICDM.2002.1183917","volume-title":"Proceedings of IEEE International Conference on Data Mining, ICDM","author":"L.C. Molina","year":"2002","unstructured":"Molina, L.C., Belanche, L., Nebot, A.: Feature Selection Algorithms: A Survey and Experimental Evaluation. In: Proceedings of IEEE International Conference on Data Mining, ICDM, pp. 306\u2013313. IEEE Computer Society Press, Los Alamitos (2002)"},{"key":"42_CR8","doi-asserted-by":"publisher","first-page":"1157","DOI":"10.1162\/153244303322753616","volume":"3","author":"I. Guyon","year":"2003","unstructured":"Guyon, I., Elisseeff, A.: An Introduction to Variable and Feature Selection. Journal of Machine Learning Research\u00a03, 1157\u20131182 (2003)","journal-title":"Journal of Machine Learning Research"},{"key":"42_CR9","doi-asserted-by":"publisher","first-page":"1245","DOI":"10.1162\/153244303322753652","volume":"3","author":"R. Caruana","year":"2003","unstructured":"Caruana, R., Sa, V.R.: Benefiting from the Variables that Variable Selection Discards. Journal of Machine Learning Research\u00a03, 1245\u20131264 (2003)","journal-title":"Journal of Machine Learning Research"},{"key":"42_CR10","unstructured":"The Hypertensive Research Group of Hear Internal Medicine Department of People\u2019s Hospital of Beijing Medical University: Hundred Questions and Answers in Modern Knowledge of Hypertension (1998)"},{"key":"42_CR11","unstructured":"Jia, L., Xu, Y.: Guan Xing Bing De Zhen Duan Yu Zhi Liao. Jun Shi Yi Xue Ke Xue Chu Ban She (2001)"},{"key":"42_CR12","first-page":"424","volume-title":"Proceedings of the Fifth International Workshop on AI and Statistics","author":"M.J. Pazzani","year":"1996","unstructured":"Pazzani, M.J.: Searching for Dependencies in Bayesian Classifiers. In: Proceedings of the Fifth International Workshop on AI and Statistics, pp. 424\u2013429. Springer, Heidelberg (1996)"},{"key":"42_CR13","volume-title":"Fundamentals of Applied Information Theory","author":"X.L. Zhu","year":"2000","unstructured":"Zhu, X.L.: Fundamentals of Applied Information Theory. Tsinghua University Press, Beijing (2000)"},{"key":"42_CR14","unstructured":"Fayyad, U.M., Irani, K.B.: Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning. In: Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, pp. 1022\u20131027 (1993)"},{"key":"42_CR15","first-page":"249","volume-title":"Proceedings of International Conference on Machine Learning","author":"K. Kira","year":"1992","unstructured":"Kira, K., Rendell, L.: A Practical Approach to Feature Selection. In: Proceedings of International Conference on Machine Learning, Aberdeen, pp. 249\u2013256. Morgan Kaufmann, San Francisco (1992a)"},{"key":"42_CR16","volume-title":"Proceedings of AAAI\u201992","author":"K. Kira","year":"1992","unstructured":"Kira, K., Rendell, L.: The Feature Selection Problem: Traditional Methods and New Algorithm. In: Proceedings of AAAI\u201992, San Jose, CA, AAAI Press, Menlo Park (1992b)"},{"key":"42_CR17","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1109\/34.574797","volume":"19","author":"A. Jain","year":"1997","unstructured":"Jain, A., Zongker, D.: Feature Selection: Evaluation, Application and Small Sample Performance. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a019, 153\u2013158 (1997)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"42_CR18","unstructured":"Blake, C.L., Merz, C.J.: UCI Repository of Machine Learning Databases. Department of Information and Computer Science, University of California (1998), http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html"},{"key":"42_CR19","first-page":"81","volume":"1","author":"J.R. Quinlan","year":"1986","unstructured":"Quinlan, J.R.: Induction of Decision Trees. Machine Learning\u00a01, 81\u2013106 (1986)","journal-title":"Machine Learning"},{"key":"42_CR20","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 Mateo (1993)"},{"key":"42_CR21","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1613\/jair.279","volume":"4","author":"J.R. Quinlan","year":"1996","unstructured":"Quinlan, J.R.: Improved Use of Continuous Attributes in C4.5. Journal of Artificial Intelligence Research\u00a04, 77\u201390 (1996)","journal-title":"Journal of Artificial Intelligence Research"},{"key":"42_CR22","first-page":"223","volume-title":"Proceedings of the tenth national conference on artificial intelligence","author":"P. Langley","year":"1992","unstructured":"Langley, P., Iba, W., Thompsom, K.: An Analysis of Bayesian Classifiers. In: Proceedings of the tenth national conference on artificial intelligence, pp. 223\u2013228. AAAI Press, Menlo Park (1992)"},{"key":"42_CR23","doi-asserted-by":"crossref","unstructured":"Holte, R.C.: Very Simple Classification Rules Perform Well on Most Commonly Used Datasets. Machine Learning\u00a011 (1993)","DOI":"10.1023\/A:1022631118932"},{"key":"42_CR24","unstructured":"Vafaie, H., Imam, I.F.: Feature Selection Methods: Genetic Algorithms vs. Greedy like Search. In: Proceedings of International Conference on Fuzzy and Intelligent Control System (1994)"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-71701-0_42.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,19]],"date-time":"2020-11-19T05:25:23Z","timestamp":1605763523000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-71701-0_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540717003","9783540717010"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-71701-0_42","relation":{},"subject":[]}}