{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T11:43:44Z","timestamp":1742989424642,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319689340"},{"type":"electronic","value":"9783319689357"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[[2017]]},"DOI":"10.1007\/978-3-319-68935-7_45","type":"book-chapter","created":{"date-parts":[[2017,10,5]],"date-time":"2017-10-05T03:53:18Z","timestamp":1507175598000},"page":"415-424","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Generation of Reducts and Threshold Functions and Its Networks for Classification"],"prefix":"10.1007","author":[{"given":"Naohiro","family":"Ishii","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ippei","family":"Torii","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazunori","family":"Iwata","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazuya","family":"Odagiri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Toyoshiro","family":"Nakashima","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,6]]},"reference":[{"key":"45_CR1","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/BF01001956","volume":"11","author":"R Sets","year":"1982","unstructured":"Sets, R.: Pawlak, Z. Int. J. Comput. Inf. Sci. 11, 341\u2013356 (1982)","journal-title":"Int. J. Comput. Inf. Sci."},{"key":"45_CR2","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1016\/0377-2217(94)90415-4","volume":"72","author":"ZR Pawlak","year":"1994","unstructured":"Pawlak, Z.R., Slowinski, R.: Rough set approach to multi-attribute decision analysis. Eur. J. Oper. Res. 72, 443\u2013459 (1994)","journal-title":"Eur. J. Oper. Res."},{"key":"45_CR3","doi-asserted-by":"crossref","unstructured":"Skowron, A., Rauszer, C.: The discernibility matrices and functions in information systems. In: Intelligent Decision Support - Handbook of Application and Advances of Rough Sets Theory, pp. 331\u2013362. Kluwer Academic Publishers, Dordrecht (1992)","DOI":"10.1007\/978-94-015-7975-9_21"},{"issue":"3\u20134","key":"45_CR4","doi-asserted-by":"crossref","first-page":"345","DOI":"10.3233\/FI-1997-303409","volume":"30","author":"A Skowron","year":"1997","unstructured":"Skowron, A., Polkowski, L.: Decision algorithms, a survey of rough set theoretic methods. Fundamenta Informatica 30(3\u20134), 345\u2013358 (1997)","journal-title":"Fundamenta Informatica"},{"issue":"1","key":"45_CR5","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/TIT.1967.1053964","volume":"13","author":"TM Cover","year":"1967","unstructured":"Cover, T.M., Hart, P.E.: Nearest neighbor pattern classification. IEEE Trans. Inf. Theory 13(1), 21\u201327 (1967)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"45_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1007\/978-3-642-23866-6_11","volume-title":"Knowledge-Based and Intelligent Information and Engineering Systems","author":"N Ishii","year":"2011","unstructured":"Ishii, N., Morioka, Y., Bao, Y., Tanaka, H.: Control of variables in reducts-kNN classification with confidence. In: K\u00f6nig, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds.) KES 2011. LNCS, vol. 6884, pp. 98\u2013107. Springer, Heidelberg (2011). doi:10.1007\/978-3-642-23866-6_11"},{"key":"45_CR7","doi-asserted-by":"crossref","unstructured":"Ishii, N., Torii, I., Bao, Y., Tanaka, H.: Modified reduct nearest neighbor classification. In: Proceedings of ACIS-ICIS, pp. 310\u2013315. IEEE Computer Society (2012)","DOI":"10.1109\/ICIS.2012.72"},{"key":"45_CR8","doi-asserted-by":"crossref","unstructured":"Ishii, N., Torii, I., Mukai, N., Iwata, K., Nakashima, T.: Classification on nonlinear mapping of reducts based on nearest neighbor relation. In: Proceedings of ACIS-ICIS. IEEE Computer Society, pp. 491\u2013496 (2015)","DOI":"10.1109\/ICIS.2015.7166642"},{"key":"45_CR9","doi-asserted-by":"crossref","unstructured":"Ishii, N., Torii, I., Iwata, K., Nakashima, T.: Generation and nonlinear mapping of reducts-nearest neighbor classification. In: Advances in Combining Intelligent Methods, Chap. 5, pp. 93\u2013108. Springer (2017)","DOI":"10.1007\/978-3-319-46200-4_5"},{"key":"45_CR10","volume-title":"Threshold Logic","author":"ST Hu","year":"1965","unstructured":"Hu, S.T.: Threshold Logic. University of California Press, Berkeley (1965)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68935-7_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T18:30:55Z","timestamp":1710354655000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-68935-7_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319689340","9783319689357"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68935-7_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"6 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IDEAL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Data Engineering and Automated Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guilin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 October 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 November 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ideal2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ideal2017.guet.edu.cn\/ideal\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}