{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T18:26:01Z","timestamp":1778696761039,"version":"3.51.4"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2016,9,19]],"date-time":"2016-09-19T00:00:00Z","timestamp":1474243200000},"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":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1007\/s13042-016-0595-y","type":"journal-article","created":{"date-parts":[[2016,9,19]],"date-time":"2016-09-19T08:53:24Z","timestamp":1474275204000},"page":"667-676","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Streamwise feature selection: a rough set method"],"prefix":"10.1007","volume":"9","author":[{"given":"Mohammad Masoud","family":"Javidi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sadegh","family":"Eskandari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,19]]},"reference":[{"key":"595_CR1","volume-title":"Pattern recognition and machine learning (information science and statistics)","author":"CM Bishop","year":"2006","unstructured":"Bishop CM (2006) Pattern recognition and machine learning (information science and statistics). Springer-Verlag New York Inc., Secaucus"},{"key":"595_CR2","volume-title":"Pattern recognition","author":"S Theodoridis","year":"2009","unstructured":"Theodoridis S, Koutroumbas K (2009) Pattern recognition. Academic Press, Cambridge"},{"key":"595_CR3","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon I, Elliseff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3:1157\u20131182","journal-title":"J Mach Learn Res"},{"issue":"3","key":"595_CR4","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1109\/TKDE.2013.32","volume":"26","author":"J Wang","year":"2014","unstructured":"Wang J, Zhao P, Hoi S, Jin R (2014) Online feature selection and its applications. IEEE Trans Knowl Data Eng 26(3):698\u2013710","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"595_CR5","doi-asserted-by":"crossref","first-page":"1178","DOI":"10.1109\/TPAMI.2012.197","volume":"35","author":"X Wu","year":"2013","unstructured":"Wu X, Yu K, Ding W, Wang H, Zhu X (2013) Online feature selection with streaming features. IEEE Trans Pattern Anal Mach Intell 35:1178\u20131192","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"595_CR6","doi-asserted-by":"crossref","unstructured":"Ungar L, Zhou J, Foster D, Stine B (2005) Streaming feature selection using IIC. In: Proceedings of the 10th International Conference on Articial Intelligence and Statistics","DOI":"10.1145\/1081870.1081914"},{"issue":"1","key":"595_CR7","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.eswa.2014.07.018","volume":"42","author":"YL He","year":"2015","unstructured":"He YL, Liu JNK, Hu YH, Wang XZ (2015) OWA operator based link prediction ensemble for social network. Expert Syst Appl 42(1):21\u201350","journal-title":"Expert Syst Appl"},{"key":"595_CR8","first-page":"1333","volume":"3","author":"S Perkins","year":"2003","unstructured":"Perkins S, Lacker K, Theiler J (2003) Grafting: fast, incremental feature selection by gradient descent in function space. J Mach Learn Res 3:1333\u20131356","journal-title":"J Mach Learn Res"},{"key":"595_CR9","unstructured":"Perkins S, Theiler J (2003) Online feature selection using grafting. In: International Conference on Machine Learning. ACM Press, pp 592\u2013599"},{"issue":"11","key":"595_CR10","doi-asserted-by":"crossref","first-page":"1119","DOI":"10.1016\/0167-8655(94)90127-9","volume":"15","author":"P Pudil","year":"1994","unstructured":"Pudil P, Novoviov J, Kittler J (1994) Floating search methods in feature selection. Pattern Recogn Lett 15(11):1119\u20131125","journal-title":"Pattern Recogn Lett"},{"key":"595_CR11","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.knosys.2012.10.010","volume":"39","author":"F Wang","year":"2013","unstructured":"Wang F, Liang J, Qian Y (2013) Attribute reduction: a dimension incremental strategy. Knowl Based Sys 39:95\u2013108","journal-title":"Knowl Based Sys"},{"issue":"9","key":"595_CR12","doi-asserted-by":"crossref","first-page":"909","DOI":"10.1007\/s00500-007-0260-1","volume":"12","author":"AR Hedar","year":"2008","unstructured":"Hedar AR, Wang J, Fukushima M (2008) Tabu search for attribute reduction in rough set theory. Soft Comput 12(9):909\u2013918","journal-title":"Soft Comput"},{"key":"595_CR13","doi-asserted-by":"publisher","unstructured":"Li HR, Zhang WX (2005) Applying indiscernibility attribute sets to knowledge reduction. In: AI 2005: advances in artificial intelligence, vol 3809. Springer, Berlin, Heidelberg, pp 816\u2013821. doi: 10.1007\/11589990_87","DOI":"10.1007\/11589990_87"},{"key":"595_CR14","doi-asserted-by":"crossref","unstructured":"Li K, Liu YS (2002) Rough set based attribute reduction approach in data mining. In: Proceedings of International Conference on Machine Learning and Cybernetics, vol. 1, pp 60\u201363","DOI":"10.1109\/ICMLC.2002.1176709"},{"issue":"3","key":"595_CR15","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1109\/TKDE.2009.119","volume":"22","author":"N Parthalain","year":"2010","unstructured":"Parthalain N, Shen Q, Jensen R (2010) A distance measure approach to exploring the rough set boundary region for attribute reduction. IEEE Trans Knowl Data Eng 22(3):305\u2013317","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"595_CR16","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.ins.2013.07.033","volume":"255","author":"R Jensen","year":"2014","unstructured":"Jensen R, Tuson A, Shen Q (2014) Finding rough and fuzzy-rough set reducts with SAT. Inf Sci 255:100\u2013120","journal-title":"Inf Sci"},{"key":"595_CR17","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.knosys.2011.11.013","volume":"27","author":"X Weihua","year":"2012","unstructured":"Weihua X, Yuan L, Xiuwu L (2012) Approaches to attribute reductions based on rough set and matrix computation in inconsistent ordered information systems. Knowl Based Syst 27:78\u201391","journal-title":"Knowl Based Syst"},{"issue":"5","key":"595_CR18","doi-asserted-by":"crossref","first-page":"2329","DOI":"10.3233\/IFS-141516","volume":"28","author":"XZ Wang","year":"2015","unstructured":"Wang XZ (2015) Learning from big data with uncertainty\u2013editorial. J Intell Fuzzy Sys 28(5):2329\u20132330","journal-title":"J Intell Fuzzy Sys"},{"issue":"3","key":"595_CR19","doi-asserted-by":"crossref","first-page":"1185","DOI":"10.3233\/IFS-151729","volume":"29","author":"XZ Wang","year":"2015","unstructured":"Wang XZ, Ashfag RAR, Fu AM (2015) Fuzziness based sample categorization for classifier performance improvement. J Intell Fuzzy Sys 29(3):1185\u20131196","journal-title":"J Intell Fuzzy Sys"},{"key":"595_CR20","first-page":"222","volume":"364\u2013365","author":"YL He","year":"2016","unstructured":"He YL, Wang XZ, Huang JZX (2016) Fuzzy nonlinear regression analysis using a random weight network. Inf Sci 364\u2013365:222\u2013240","journal-title":"Inf Sci"},{"issue":"5","key":"595_CR21","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/BF01001956","volume":"11","author":"Z Pawlak","year":"1982","unstructured":"Pawlak Z (1982) Rough sets. Int J Comput Inform Sci 11(5):341\u2013356","journal-title":"Int J Comput Inform Sci"},{"key":"595_CR22","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.ins.2015.04.020","volume":"316","author":"L Wentao","year":"2015","unstructured":"Wentao L, Weihua X (2015) Double-quantitative decision-theoretic rough set. Inf Sci 316:54\u201367","journal-title":"Inf Sci"},{"key":"595_CR23","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.ijar.2015.11.006","volume":"69","author":"S Eskandari","year":"2016","unstructured":"Eskandari S, Javidi MM (2016) Online streaming feature selection using rough sets. Int J Approx Reason 69:35\u201357","journal-title":"Int J Approx Reason"},{"issue":"6","key":"595_CR24","doi-asserted-by":"crossref","first-page":"833","DOI":"10.1016\/S0167-8655(02)00196-4","volume":"24","author":"RW Swiniarski","year":"2003","unstructured":"Swiniarski RW, Skowron A (2003) Rough set methods in feature selection and recognition. Pattern Recogn Lett 24(6):833\u2013849","journal-title":"Pattern Recogn Lett"},{"key":"595_CR25","doi-asserted-by":"crossref","unstructured":"Jensen R, Shen Q (2001) A rough set-aided system for sorting WWW bookmarks. In: Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development. WI\u201901. London, UK","DOI":"10.1007\/3-540-45490-X_10"},{"issue":"16","key":"595_CR26","doi-asserted-by":"crossref","first-page":"1457","DOI":"10.1109\/TKDE.2004.96","volume":"16","author":"R Jensen","year":"2004","unstructured":"Jensen R, Shen Q (2004) Semantics-preserving dimensionality reduction: rough and fuzzy-rough based approaches. IEEE Trans Knowl Data Eng 16(16):1457\u20131471","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"1","key":"595_CR27","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/0022-0000(93)90048-2","volume":"46","author":"W Ziarko","year":"1993","unstructured":"Ziarko W (1993) Variable precision rough set model. J Comput Syst Sci 46(1):39\u201359","journal-title":"J Comput Syst Sci"},{"issue":"2\u20133","key":"595_CR28","doi-asserted-by":"crossref","first-page":"245","DOI":"10.3233\/FI-1996-272311","volume":"27","author":"A Skowron","year":"1996","unstructured":"Skowron A, Stepaniuk J (1996) Tolerance approximation spaces. Fundam Inform 27(2\u20133):245\u2013253","journal-title":"Fundam Inform"},{"key":"595_CR29","series-title":"theory and decision library","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1007\/978-94-015-7975-9_14","volume-title":"Intelligent decision support, in: theory and decision library","author":"D Dubois","year":"1992","unstructured":"Dubois D, Prade H (1992) Putting rough sets and fuzzy sets together. In: S\u0142owinski\u00b4 R (ed) Intelligent decision support. Theory and decision library, vol 11. Springer, Netherlands, pp 203\u2013232"},{"key":"595_CR30","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.ins.2014.02.093","volume":"271","author":"L Yong","year":"2014","unstructured":"Yong L, Wenliang H, Yunliang J, Zhiyong Z (2014) Quick attribute reduct algorithm for neighborhood rough set model. Inf Sci 271:65\u201381","journal-title":"Inf Sci"},{"key":"595_CR31","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.procs.2015.03.216","volume":"47","author":"SU Kumar","year":"2015","unstructured":"Kumar SU, Inbarani HH (2015) A novel neighborhood rough set based classification approach for medical diagnosis. Proc Comput Sci 47:351\u2013359","journal-title":"Proc Comput Sci"},{"issue":"18","key":"595_CR32","doi-asserted-by":"crossref","first-page":"3577","DOI":"10.1016\/j.ins.2008.05.024","volume":"178","author":"Q Hu","year":"2008","unstructured":"Hu Q, Yu D, Liu J, Wu C (2008) Neighborhood rough set based heterogeneous feature subset selection. Inf Sci 178(18):3577\u20133594","journal-title":"Inf Sci"},{"key":"595_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.04.019","author":"RAR Ashfaq","year":"2016","unstructured":"Ashfaq RAR, Wang XZ, Huang JZX, Abbas H, He YL (2016) Fuzziness based semi-supervised learning approach for intrusion detection system. Inf Sci. doi: 10.1016\/j.ins.2016.04.019 (in press)","journal-title":"Inf Sci"},{"key":"595_CR34","unstructured":"Clopinet, Feature Selection Challenge, NIPS (2003). http:\/\/clopinet.com\/isabelle\/Projects\/NIPS2003\/ . Accessed 06 March 2015"},{"key":"595_CR35","unstructured":"Blake C, Merz CJ (1998) UCI repository of machine learning databases. http:\/\/www.ics.uci.edu\/mlearn\/MLRepository.html . Accessed 06 March 2015"},{"key":"595_CR36","volume-title":"C4.5: programs for machine learning","author":"JR Quinlan","year":"1993","unstructured":"Quinlan JR (1993) C4.5: programs for machine learning. Morgan Kaufmann Publishers Inc., San Francisco"},{"issue":"3","key":"595_CR37","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang CC, Lin CJ (2011) Libsvm: a library for support vector machines. ACM Trans Intell Sys Technol 2(3):1\u201327","journal-title":"ACM Trans Intell Sys Technol"},{"issue":"2","key":"595_CR38","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1142\/S0218488508005121","volume":"16","author":"Y Qian","year":"2008","unstructured":"Qian Y, Liang J (2008) Combination entropy and combination granulation in rough set theory. Int J Uncertain Fuzziness Knowl Based Sys 16(2):179\u2013193","journal-title":"Int J Uncertain Fuzziness Knowl Based Sys"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-016-0595-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0595-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0595-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,26]],"date-time":"2020-09-26T03:45:00Z","timestamp":1601091900000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-016-0595-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9,19]]},"references-count":38,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2018,4]]}},"alternative-id":["595"],"URL":"https:\/\/doi.org\/10.1007\/s13042-016-0595-y","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,9,19]]}}}