{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T08:49:43Z","timestamp":1742978983503,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":24,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642013065"},{"type":"electronic","value":"9783642013072"}],"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\/978-3-642-01307-2_102","type":"book-chapter","created":{"date-parts":[[2009,4,18]],"date-time":"2009-04-18T09:47:58Z","timestamp":1240048078000},"page":"965-972","source":"Crossref","is-referenced-by-count":0,"title":["Application-Independent Feature Construction from Noisy Samples"],"prefix":"10.1007","author":[{"given":"Dominique","family":"Gay","sequence":"first","affiliation":[]},{"given":"Nazha","family":"Selmaoui","sequence":"additional","affiliation":[]},{"given":"Jean-Fran\u00e7ois","family":"Boulicaut","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"102_CR1","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/s10462-004-0751-8","volume":"22","author":"X. Zhu","year":"2004","unstructured":"Zhu, X., Wu, X.: Class noise vs. attribute noise\u00a0: A quantitative study. Artificial Intelligence Revue\u00a022, 177\u2013210 (2004)","journal-title":"Artificial Intelligence Revue"},{"key":"102_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"708","DOI":"10.1007\/978-3-540-74958-5_71","volume-title":"Machine Learning: ECML 2007","author":"U. Rebbapragada","year":"2007","unstructured":"Rebbapragada, U., Brodley, C.E.: Class noise mitigation through instance weighting. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladeni\u010d, D., Skowron, A. (eds.) ECML 2007. LNCS, vol.\u00a04701, pp. 708\u2013715. Springer, Heidelberg (2007)"},{"key":"102_CR3","first-page":"131","volume-title":"Proceedings ICDM 2003","author":"J. Kubica","year":"2003","unstructured":"Kubica, J., Moore, A.W.: Probabilistic noise identification and data cleaning. In: Proceedings ICDM 2003, pp. 131\u2013138. IEEE Computer Society, Los Alamitos (2003)"},{"key":"102_CR4","first-page":"733","volume-title":"Proceedings ICDM 2007","author":"Y. Zhang","year":"2007","unstructured":"Zhang, Y., Wu, X.: Noise modeling with associative corruption rules. In: Proceedings ICDM 2007, pp. 733\u2013738. IEEE Computer Society, Los Alamitos (2007)"},{"key":"102_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1007\/978-3-540-30116-5_43","volume-title":"Knowledge Discovery in Databases: PKDD 2004","author":"Y. Yang","year":"2004","unstructured":"Yang, Y., Wu, X., Zhu, X.: Dealing with predictive-but-unpredictable attributes in noisy data sources. In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) PKDD 2004. LNCS, vol.\u00a03202, pp. 471\u2013483. Springer, Heidelberg (2004)"},{"key":"102_CR6","first-page":"194","volume-title":"Proceedings KDD 2001","author":"C. Yang","year":"2001","unstructured":"Yang, C., Fayyad, U.M., Bradley, P.S.: Efficient discovery of error-tolerant frequent itemsets in high dimensions. In: Proceedings KDD 2001, pp. 194\u2013203. ACM Press, New York (2001)"},{"key":"102_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/11733492_4","volume-title":"Knowledge Discovery in Inductive Databases","author":"J. Besson","year":"2006","unstructured":"Besson, J., Pensa, R.G., Robardet, C., Boulicaut, J.F.: Constraint-based mining of fault-tolerant patterns from boolean data. In: Bonchi, F., Boulicaut, J.-F. (eds.) KDID 2005. LNCS, vol.\u00a03933, pp. 55\u201371. Springer, Heidelberg (2006)"},{"key":"102_CR8","doi-asserted-by":"crossref","first-page":"457","DOI":"10.3233\/IDA-2006-10505","volume":"10","author":"R.G. Pensa","year":"2006","unstructured":"Pensa, R.G., Robardet, C., Boulicaut, J.F.: Supporting bi-cluster interpretation in 0\/1 data by means of local patterns. Intelligent Data Analysis\u00a010, 457\u2013472 (2006)","journal-title":"Intelligent Data Analysis"},{"key":"102_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1007\/3-540-45372-5_8","volume-title":"Principles of Data Mining and Knowledge Discovery","author":"J.F. Boulicaut","year":"2000","unstructured":"Boulicaut, J.F., Bykowski, A., Rigotti, C.: Approximation of frequency queries by means of free-sets. In: Zighed, D.A., Komorowski, J., \u017bytkow, J.M. (eds.) PKDD 2000. LNCS, vol.\u00a01910, pp. 75\u201385. Springer, Heidelberg (2000)"},{"key":"102_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1007\/11893318_43","volume-title":"Discovery Science","author":"N. Selmaoui","year":"2006","unstructured":"Selmaoui, N., Leschi, C., Gay, D., Boulicaut, J.F.: Feature construction and delta-free sets in 0\/1 samples. In: Todorovski, L., Lavra\u010d, N., Jantke, K.P. (eds.) DS 2006. LNCS, vol.\u00a04265, pp. 363\u2013367. Springer, Heidelberg (2006)"},{"key":"102_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1007\/978-3-540-68125-0_12","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"D. Gay","year":"2008","unstructured":"Gay, D., Selmaoui, N., Boulicaut, J.F.: Feature construction based on closedness properties is not that simple. In: Washio, T., Suzuki, E., Ting, K.M., Inokuchi, A. (eds.) PAKDD 2008. LNCS, vol.\u00a05012, pp. 112\u2013123. Springer, Heidelberg (2008)"},{"key":"102_CR12","first-page":"716","volume-title":"Proceedings ICDE 2007","author":"H. Cheng","year":"2007","unstructured":"Cheng, H., Yan, X., Han, J., Hsu, C.W.: Discriminative frequent pattern analysis for effective classification. In: Proceedings ICDE 2007, pp. 716\u2013725. IEEE Computer Society, Los Alamitos (2007)"},{"key":"102_CR13","first-page":"80","volume-title":"Proceedings KDD 1998","author":"B. Liu","year":"1998","unstructured":"Liu, B., Hsu, W., Ma, Y.: Integrating classification and association rule mining. In: Proceedings KDD 1998, pp. 80\u201386. AAAI Press, Menlo Park (1998)"},{"key":"102_CR14","first-page":"43","volume-title":"Proceedings KDD 1999","author":"G. Dong","year":"1999","unstructured":"Dong, G., Li, J.: Efficient mining of emerging patterns: discovering trends and differences. In: Proceedings KDD 1999, pp. 43\u201352. ACM Press, New York (1999)"},{"key":"102_CR15","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/s11280-006-0012-7","volume":"10","author":"K. Ramamohanarao","year":"2007","unstructured":"Ramamohanarao, K., Fan, H.: Patterns based classifiers. World Wide Web\u00a010, 71\u201383 (2007)","journal-title":"World Wide Web"},{"key":"102_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/978-3-540-24775-3_26","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"H. Fan","year":"2004","unstructured":"Fan, H., Ramamohanarao, K.: Noise tolerant classification by chi emerging patterns. In: Dai, H., Srikant, R., Zhang, C. (eds.) PAKDD 2004. LNCS, vol.\u00a03056, pp. 201\u2013206. Springer, Heidelberg (2004)"},{"key":"102_CR17","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1145\/380995.381017","volume":"2","author":"Y. Bastide","year":"2000","unstructured":"Bastide, Y., Taouil, R., Pasquier, N., Stumme, G., Lakhal, L.: Mining frequent patterns with counting inference. SIGKDD Explorations\u00a02, 66\u201375 (2000)","journal-title":"SIGKDD Explorations"},{"key":"102_CR18","first-page":"33","volume-title":"Proceedings ES 2002","author":"B. Cr\u00e9milleux","year":"2002","unstructured":"Cr\u00e9milleux, B., Boulicaut, J.F.: Simplest rules characterizing classes generated by delta-free sets. In: Proceedings ES 2002, pp. 33\u201346. Springer, Heidelberg (2002)"},{"key":"102_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1007\/11823728_23","volume-title":"Data Warehousing and Knowledge Discovery","author":"C. H\u00e9bert","year":"2006","unstructured":"H\u00e9bert, C., Cr\u00e9milleux, B.: Optimized rule mining through a unified framework for interestingness measures. In: Tjoa, A.M., Trujillo, J. (eds.) DaWaK 2006. LNCS, vol.\u00a04081, pp. 238\u2013247. Springer, Heidelberg (2006)"},{"key":"102_CR20","first-page":"1022","volume-title":"Proceedings IJCAI 1993","author":"U.M. Fayyad","year":"1993","unstructured":"Fayyad, U.M., Irani, K.B.: Multi-interval discretization of continous-valued attributes for classification learning. In: Proceedings IJCAI 1993, pp. 1022\u20131027. Morgan Kaufmann, San Francisco (1993)"},{"key":"102_CR21","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":"102_CR22","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":"102_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1007\/978-3-540-85836-2_28","volume-title":"Data Warehousing and Knowledge Discovery","author":"L. Cerf","year":"2008","unstructured":"Cerf, L., Gay, D., Selmaoui, N., Boulicaut, J.F.: A parameter free associative classifier. In: Song, I.-Y., Eder, J., Nguyen, T.M. (eds.) DaWaK 2008. LNCS, vol.\u00a05182, pp. 293\u2013304. Springer, Heidelberg (2008)"},{"key":"102_CR24","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1007\/s10115-007-0081-7","volume":"15","author":"S. Zhang","year":"2008","unstructured":"Zhang, S., Wu, X., Zhang, C., Lu, J.: Computing the minimum-support for mining frequent patterns. Knowledge and Information Systems\u00a015, 233\u2013257 (2008)","journal-title":"Knowledge and Information Systems"}],"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\/978-3-642-01307-2_102","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,19]],"date-time":"2019-05-19T12:02:48Z","timestamp":1558267368000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-01307-2_102"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642013065","9783642013072"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-01307-2_102","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2009]]}}}