{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:16:29Z","timestamp":1750220189420,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,7,9]],"date-time":"2022-07-09T00:00:00Z","timestamp":1657324800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,7,9]]},"DOI":"10.1145\/3520304.3534027","type":"proceedings-article","created":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T15:29:44Z","timestamp":1658244584000},"page":"1752-1756","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Improving the search of learning classifier systems through interpretable feature clustering"],"prefix":"10.1145","author":[{"given":"Hayden","family":"Andersen","sequence":"first","affiliation":[{"name":"Victoria University of Wellington, Wellington, New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew","family":"Lensen","sequence":"additional","affiliation":[{"name":"Victoria University of Wellington, Wellington, New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Will N.","family":"Browne","sequence":"additional","affiliation":[{"name":"Queensland University of Technology, Brisbane, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,7,19]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-55007-6"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Y. Liu \"Learning Classifier Systems for Understanding Patterns in Data \" 6 2021.","DOI":"10.26686\/wgtn.14870208.v1"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7"},{"key":"e_1_3_2_1_4_1","unstructured":"A. Gupta A. Gupta and K. Sharma \"Clustering based feature selection methods from fmri data for classification of cognitive states of the human brain \" in 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) 2016 pp. 3581--3584."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1162\/106365603322365289"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1201\/9781315108230"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.4018\/IJAEC.2016100102"},{"key":"e_1_3_2_1_8_1","unstructured":"J. MacQueen \"Some methods for classification and analysis of multivariate observations \" 1967."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-30164-8_426"},{"key":"e_1_3_2_1_10_1","first-page":"160","volume-title":"Density-based clustering based on hierarchical density estimates,\" in Advances in Knowledge Discovery and Data Mining","author":"Campello R. J. G. B.","year":"2013","unstructured":"R. J. G. B. Campello, D. Moulavi, and J. Sander, \"Density-based clustering based on hierarchical density estimates,\" in Advances in Knowledge Discovery and Data Mining, J. Pei, V. S. Tseng, L. Cao, H. Motoda, and G. Xu, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp. 160--172."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_1_12_1","volume-title":"Non-parametric Entropy Estimation Toolbox (NPEET)","author":"Steeg G. V.","year":"2014","unstructured":"G. V. Steeg and A. Galstyan, \"Non-parametric Entropy Estimation Toolbox (NPEET),\" 2014. [Online]. Available: https:\/\/www.isi.edu\/~gregv\/npeet.html"},{"key":"e_1_3_2_1_13_1","volume-title":"UCI machine learning repository","author":"Dua D.","year":"2017","unstructured":"D. Dua and C. Graff, \"UCI machine learning repository,\" 2017. [Online]. Available: http:\/\/archive.ics.uci.edu\/ml"}],"event":{"name":"GECCO '22: Genetic and Evolutionary Computation Conference","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"],"location":"Boston Massachusetts","acronym":"GECCO '22"},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3520304.3534027","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3520304.3534027","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:28Z","timestamp":1750186948000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3520304.3534027"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,9]]},"references-count":13,"alternative-id":["10.1145\/3520304.3534027","10.1145\/3520304"],"URL":"https:\/\/doi.org\/10.1145\/3520304.3534027","relation":{},"subject":[],"published":{"date-parts":[[2022,7,9]]},"assertion":[{"value":"2022-07-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}