{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T01:34:59Z","timestamp":1743039299551,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319420189"},{"type":"electronic","value":"9783319420196"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-42019-6_20","type":"book-chapter","created":{"date-parts":[[2016,6,26]],"date-time":"2016-06-26T22:04:53Z","timestamp":1466978693000},"page":"307-321","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["PRIMER \u2013 A Regression-Rule Learning System for Intervention Optimization"],"prefix":"10.1007","author":[{"given":"Greg","family":"Harris","sequence":"first","affiliation":[]},{"given":"Anand","family":"Panangadan","sequence":"additional","affiliation":[]},{"given":"Viktor K.","family":"Prasanna","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,6,28]]},"reference":[{"issue":"349","key":"20_CR1","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1080\/01621459.1975.10480264","volume":"70","author":"GEP Box","year":"1975","unstructured":"Box, G.E.P., Tiao, G.C.: Intervention analysis with applications to economic and environmental problems. J. Am. Stat. Assoc. 70(349), 70\u201379 (1975)","journal-title":"J. Am. Stat. Assoc."},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Brookhouse, J., Otero, F.E.B.: Discovering regression rules with ant colony optimization. In: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015, pp. 1005\u20131012. ACM, New York (2015)","DOI":"10.1145\/2739482.2768450"},{"issue":"4","key":"20_CR3","first-page":"261","volume":"3","author":"P Clark","year":"1989","unstructured":"Clark, P., Niblett, T.: The CN2 induction algorithm. Mach. Learn. 3(4), 261\u2013283 (1989)","journal-title":"Mach. Learn."},{"issue":"4","key":"20_CR4","doi-asserted-by":"publisher","first-page":"1040","DOI":"10.1137\/S1052623494240456","volume":"6","author":"TF Coleman","year":"1996","unstructured":"Coleman, T.F., Li, Y.: A reflective Newton method for minimizing a quadratic function subject to bounds on some of the variables. SIAM J. Optim. 6(4), 1040\u20131058 (1996)","journal-title":"SIAM J. Optim."},{"key":"20_CR5","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1007\/978-3-540-69731-2_52","volume-title":"Artificial Intelligence and Soft Computing \u2013 ICAISC 2008","author":"K Dembczy\u0144ski","year":"2008","unstructured":"Dembczy\u0144ski, K., Kot\u0142owski, W., S\u0142owi\u0144ski, R.: Solving regression by learning an ensemble of decision rules. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2008. LNCS (LNAI), vol. 5097, pp. 533\u2013544. Springer, Heidelberg (2008)"},{"key":"20_CR6","first-page":"1871","volume":"9","author":"R-E Fan","year":"2008","unstructured":"Fan, R.-E., Chang, K.-W., Hsieh, C.-J., Wang, X.-R., Lin, C.-J.: LIBLINEAR: a library for large linear classification. J. Mach. Learn. Res. 9, 1871\u20131874 (2008)","journal-title":"J. Mach. Learn. Res."},{"issue":"1","key":"20_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v033.i01","volume":"33","author":"J Friedman","year":"2010","unstructured":"Friedman, J., Hastie, T., Tibshirani, R.: Regularization paths for generalized linear models via coordinate descent. J. Stat. Softw. 33(1), 1 (2010)","journal-title":"J. Stat. Softw."},{"issue":"1","key":"20_CR8","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1023\/A:1006524209794","volume":"13","author":"J F\u00fcrnkranz","year":"1999","unstructured":"F\u00fcrnkranz, J.: Separate-and-conquer rule learning. Artif. Intell. Rev. 13(1), 3\u201354 (1999)","journal-title":"Artif. Intell. Rev."},{"key":"20_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-75197-7","volume-title":"Foundations of Rule Learning","author":"J F\u00fcrnkranz","year":"2012","unstructured":"F\u00fcrnkranz, J., Gamberger, D., Lavra\u010d, N.: Foundations of Rule Learning. Springer Science & Business Media, Heidelberg (2012)"},{"issue":"1","key":"20_CR10","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1145\/1656274.1656278","volume":"11","author":"M Hall","year":"2009","unstructured":"Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: an update. ACM SIGKDD Explor. Newsl. 11(1), 10\u201318 (2009)","journal-title":"ACM SIGKDD Explor. Newsl."},{"issue":"1","key":"20_CR11","first-page":"3323","volume":"13","author":"C-H Ho","year":"2012","unstructured":"Ho, C.-H., Lin, C.-J.: Large-scale linear support vector regression. J. Mach. Learn. Res. 13(1), 3323\u20133348 (2012)","journal-title":"J. Mach. Learn. Res."},{"key":"20_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/3-540-46695-9_1","volume-title":"Advanced Topics in Artificial Intelligence","author":"G Holmes","year":"1999","unstructured":"Holmes, G., Hall, M., Prank, E.: Generating rule sets from model trees. In: Foo, N.Y. (ed.) AI 1999. LNCS, vol. 1747, pp. 1\u201312. Springer, Heidelberg (1999)"},{"key":"20_CR13","doi-asserted-by":"crossref","unstructured":"Janssen, F., F\u00fcrnkranz, J.: A re-evaluation of the over-searching phenomenon in inductive rule learning. In: SDM, pp. 329\u2013340. SIAM (2009)","DOI":"10.1137\/1.9781611972795.29"},{"key":"20_CR14","unstructured":"Janssen, F., F\u00fcrnkranz, J.: Separate-and-conquer regression. In: Proceedings of LWA 2010: Lernen, Wissen, Adaptivit\u00e4t, Kassel, Germany, pp. 81\u201389 (2010)"},{"key":"20_CR15","unstructured":"Janssen, F., F\u00fcrnkranz, J.: Heuristic rule-based regression via dynamic reduction to classification. In: IJCAI Proceedings-International Joint Conference on Artificial Intelligence, vol. 22, p. 1330 (2011)"},{"issue":"4","key":"20_CR16","doi-asserted-by":"publisher","first-page":"1171","DOI":"10.2308\/accr.2009.84.4.1171","volume":"84","author":"EX Li","year":"2009","unstructured":"Li, E.X., Ramesh, K.: Market reaction surrounding the filing of periodic SEC reports. Acc. Rev. 84(4), 1171\u20131208 (2009)","journal-title":"Acc. Rev."},{"key":"20_CR17","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1007\/11871842_33","volume-title":"Machine Learning: ECML 2006","author":"M Mo\u017eina","year":"2006","unstructured":"Mo\u017eina, M., Dem\u0161ar, J., \u017dabkar, J., Bratko, I.: Why is rule learning optimistic and how to correct it. In: F\u00fcrnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) ECML 2006. LNCS (LNAI), vol. 4212, pp. 330\u2013340. Springer, Heidelberg (2006)"},{"key":"20_CR18","first-page":"2","volume":"286","author":"J Quinlan","year":"1995","unstructured":"Quinlan, J., Cameron-Jones, R.: Oversearching and layered search in empirical learning. Breast Cancer 286, 2\u20137 (1995)","journal-title":"Breast Cancer"},{"key":"20_CR19","doi-asserted-by":"publisher","DOI":"10.1002\/0471725315","volume-title":"Nonlinear Regression","author":"GAF Seber","year":"1989","unstructured":"Seber, G.A.F., Wild, C.J.: Nonlinear Regression. Wiley, New York (1989)"},{"issue":"4","key":"20_CR20","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1007\/s11142-008-9083-2","volume":"14","author":"H You","year":"2009","unstructured":"You, H., Zhang, X.J.: Financial reporting complexity and investor underreaction to 10-K information. Rev. Acc. Stud. 14(4), 559\u2013586 (2009)","journal-title":"Rev. Acc. Stud."}],"container-title":["Lecture Notes in Computer Science","Rule Technologies. Research, Tools, and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-42019-6_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T00:58:18Z","timestamp":1558313898000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-42019-6_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319420189","9783319420196"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-42019-6_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"28 June 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}