{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,4,14]],"date-time":"2023-04-14T16:50:23Z","timestamp":1681491023951},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2005,2,1]],"date-time":"2005-02-01T00:00:00Z","timestamp":1107216000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Knowl Inf Syst"],"published-print":{"date-parts":[[2005,2]]},"DOI":"10.1007\/s10115-004-0150-0","type":"journal-article","created":{"date-parts":[[2004,5,12]],"date-time":"2004-05-12T20:44:46Z","timestamp":1084394686000},"page":"246-266","source":"Crossref","is-referenced-by-count":35,"title":["Multiknowledge for decision making"],"prefix":"10.1007","volume":"7","author":[{"given":"QingXiang","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Bell","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"McGinnity","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2005,2,1]]},"reference":[{"key":"150_CRBao1","doi-asserted-by":"crossref","unstructured":"Bao Y, Ishii N (2002) Combining multiple K-nearest neighbor classifiers for text classification by reducts. In: Proceedings of 5th international conference on discovery science. Lecture notes in computer science, vol 2534. pp 340\u2013347","DOI":"10.1007\/3-540-36182-0_34"},{"key":"150_CRBao2","unstructured":"Bao Y, Du X, Ishii N (2003) Improving performance of the K-nearest neighbor classification by GA and tolerant rough sets. Int J Knowl-Based Intell Eng Syst 7:54\u201361"},{"key":"150_CRBell1","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1002\/(SICI)1097-4571(19980415)49:5<403::AID-ASI3>3.0.CO;2-8","volume":"49","author":"Bell","year":"1998","unstructured":"Bell DA, Guan JW (1998) Computational methods for rough classification and discovery. J Am Soc Inf Sci 49(1):403\u2013414","journal-title":"J Am Soc Inf Sci"},{"key":"150_CRBell2","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1023\/A:1007612503587","volume":"41","author":"Bell","year":"2000","unstructured":"Bell DA, Wang H (2000) A formalism for relevance and its application in feature subset selection. Mach Learn 41:175\u2013195","journal-title":"Mach Learn"},{"key":"150_CRGuan","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/S0004-3702(98)00090-3","volume":"105","author":"Guan","year":"1998","unstructured":"Guan JW, Bell DA (1998) Rough computational methods for information systems. Artif Intell 105:77\u2013103","journal-title":"Artif Intell"},{"key":"150_CRHong","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1016\/0031-3203(91)90074-F","volume":"24","author":"Hong","year":"1991","unstructured":"Hong ZQ, Yang JY (1991) Optimal discriminant plane for a small number of samples and design method of classifier on the plane. Pattern Recogn 24(4):317\u2013324","journal-title":"Pattern Recogn"},{"key":"150_CRHu","doi-asserted-by":"crossref","unstructured":"Hu X, Cecone N, Ziarko W (1997) Generation of multiple knowledge from databases based on rough set theory. In: Lin TY, Cercone N (eds) Rough set and data mining. Kluwer, pp 109\u2013121","DOI":"10.1007\/978-1-4613-1461-5_6"},{"key":"150_CRKohavi","unstructured":"Kohavi R, Frasca B (1994) Useful feature subsets and rough set reducts. Int Workshop Rough Sets Soft Comput (RSSC)"},{"key":"150_CRLin","doi-asserted-by":"crossref","unstructured":"Lin TY, Cercone N (1997) Rough set and data mining. Kluwer, Dordrecht","DOI":"10.1007\/978-1-4613-1461-5"},{"key":"150_CRMitchell","unstructured":"Mitchell MT (1997) Machine learning. McGraw Hill. Copublished by the MIT Press"},{"key":"150_CRNguyen","first-page":"rough","volume":"databases","author":"Nguyen","year":"1997","unstructured":"Nguyen SH, Skowron A, Synak P et al (1997) Knowledge discovery in databases: rough set approach. Proceedings of The 7th international fuzzy systems association world congress, IFSA\u201997, Prague, Czech Republic, vol II. pp 204\u2013209","journal-title":"Knowledge discovery in"},{"key":"150_CRPawlak1","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/BF01001956","volume":"11","author":"Pawlak","year":"1982","unstructured":"Pawlak Z (1982) Rough sets. Int J Comput Inf Sci 11:341\u2013356","journal-title":"Int J Comput Inf Sci"},{"key":"150_CRPawlak2","first-page":"theoretical","volume":"sets","author":"Pawlak","year":"1991","unstructured":"Pawlak Z (1991) Rough sets: theoretical aspects data analysis. Kluwer, Dordrecht","journal-title":"Rough"},{"key":"150_CRPolkowski1","doi-asserted-by":"crossref","unstructured":"Polkowski L, Skowron A (eds) (1998) Rough sets in knowledge discovery, vols 1, 2. Physica-Verlag, Heidelberg","DOI":"10.1007\/978-3-7908-1883-3_1"},{"key":"150_CRPolkowski2","doi-asserted-by":"crossref","unstructured":"Polkowski L, Tsumoto S, Lin TY (eds) (2000) Rough set methods and applications, new developments in knowledge discovery in information systems. Physica-Verlag","DOI":"10.1007\/978-3-7908-1840-6"},{"key":"150_CRRish","unstructured":"Rish I (2001) An empirical study of the na\u00efve Bayes classifier. In: IJCAI-01 workshop on empirical methods in artificial intelligence"},{"key":"150_CRSkowron","doi-asserted-by":"crossref","unstructured":"Skowron A, Rauszer C (1992) The discernibility matrices and functions in information systems. In: Slowinski R (ed) Intelligent decision support. Kluwer, Boston, MA, pp 331\u2013362","DOI":"10.1007\/978-94-015-7975-9_21"},{"key":"150_CRTanaka","doi-asserted-by":"crossref","unstructured":"Tanaka H, Maeda Y (1998), Reduction methods for medical data. In: Polkowski L, Skowron A (eds) Rough sets in knowledge discovery, vol 2. pp 295\u2013306","DOI":"10.1007\/978-3-7908-1883-3_15"},{"key":"150_CRWr1","unstructured":"Wr\u00f3blewski J (1995) Finding minimal reducts using genetic algorithms. In: Proceedings of the 2nd annual joint conference on information sciences. pp 186\u2013189"},{"key":"150_CRWr2","doi-asserted-by":"crossref","unstructured":"Wr\u00f3blewski J (1998) Genetic algorithms in decomposition and classification problem. In: Polkowski L, Skowron A (eds) Rough sets in knowledge discovery, vol 2. Physica-Verlag, Heidelberg, pp 471\u2013487","DOI":"10.1007\/978-3-7908-1883-3_24"},{"key":"150_CRWu","unstructured":"Wu QX, Bell DA (2001) Problems and solutions on Markov localization for mobile robot. Proceedings of international conference on computational intelligence for modelling & control, USA, pp 543\u2013551"},{"key":"150_CRYao","doi-asserted-by":"crossref","unstructured":"Yao YY, Wong SKM, Lin TY (1997) A review of rough set models. In: Lin TY, Cercone N (eds) Rough sets and data mining: analysis for imprecise data. Kluwer, Boston, MA, and London, pp 25\u201360","DOI":"10.1007\/978-1-4613-1461-5_3"},{"key":"150_CRZhong","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1023\/A:1011219601502","volume":"16","author":"Zhong","year":"2001","unstructured":"Zhong N, Dong J (2001) Using rough sets with heuristics for feature selection. J Intell Inf Syst 16:199\u2013214","journal-title":"J Intell Inf Syst"},{"key":"150_CRZupan","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1109\/5254.671090","volume":"13","author":"Zupan","year":"1998","unstructured":"Zupan B, Bohanec M, Demsar J et al (1998) Feature transformation by function decomposition. IEEE Intell Syst 13:38\u201343","journal-title":"IEEE Intell Syst"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-004-0150-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10115-004-0150-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-004-0150-0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,2]],"date-time":"2020-04-02T04:04:22Z","timestamp":1585800262000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10115-004-0150-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,2]]},"references-count":24,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2005,2]]}},"alternative-id":["150"],"URL":"https:\/\/doi.org\/10.1007\/s10115-004-0150-0","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"value":"0219-1377","type":"print"},{"value":"0219-3116","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,2]]}}}