{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T14:06:28Z","timestamp":1777730788694,"version":"3.51.4"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2016,4,21]],"date-time":"2016-04-21T00:00:00Z","timestamp":1461196800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Fuzzy Syst."],"published-print":{"date-parts":[[2017,8]]},"DOI":"10.1007\/s40815-016-0192-y","type":"journal-article","created":{"date-parts":[[2016,4,21]],"date-time":"2016-04-21T02:22:22Z","timestamp":1461205342000},"page":"1158-1167","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Patent Big Data Analysis using Fuzzy Learning"],"prefix":"10.1007","volume":"19","author":[{"given":"Sangsung","family":"Park","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seung-Joo","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sunghae","family":"Jun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,4,21]]},"reference":[{"key":"192_CR1","unstructured":"IBM: What is big data? www-01.ibm.com\/software\/data\/bigdata. Accessed 26 June 2015"},{"key":"192_CR2","unstructured":"Gartner: Gartner Says Solving \u201cBig data\u201d challenge involves more than just managing volumes of data. \n                        www.gartner.com\/newsroom\/id\/1731916\n                        \n                     (2015)"},{"key":"192_CR3","doi-asserted-by":"crossref","DOI":"10.1002\/9781118047989","volume-title":"Forecasting and management of technology","author":"AT Roper","year":"2011","unstructured":"Roper, A.T., Cunningham, S.W., Porter, A.L., Mason, T.W., Rossini, F.A., Banks, J.: Forecasting and management of technology. Wiley, New Jersey (2011)"},{"key":"192_CR4","volume-title":"Patent searching tools and techniques","author":"D Hunt","year":"2007","unstructured":"Hunt, D., Nguyen, L., Rodgers, M.: Patent searching tools and techniques. Wiley, New York (2007)"},{"issue":"4","key":"192_CR5","doi-asserted-by":"crossref","first-page":"918","DOI":"10.1016\/j.aei.2015.10.001","volume":"29","author":"J Kim","year":"2015","unstructured":"Kim, J., Jun, S.: Graphical causal inference and copula regression model for apple keywords by text mining. Adv. Eng. Inform. 29(4), 918\u2013929 (2015)","journal-title":"Adv. Eng. Inform."},{"issue":"5","key":"192_CR6","doi-asserted-by":"crossref","first-page":"406","DOI":"10.5391\/JKIIS.2013.23.5.406","volume":"23","author":"S Jun","year":"2013","unstructured":"Jun, S.: A big data learning for patent analysis. J. Korean Ins. Intell. Syst. 23(5), 406\u2013411 (2013)","journal-title":"J. Korean Ins. Intell. Syst."},{"issue":"5","key":"192_CR7","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1108\/02635571211232352","volume":"112","author":"S Jun","year":"2012","unstructured":"Jun, S., Park, S., Jang, D.: Technology forecasting using matrix map and patent clustering. Ind. Manage. Data Syst. 112(5), 786\u2013807 (2012)","journal-title":"Ind. Manage. Data Syst."},{"issue":"3","key":"192_CR8","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1109\/4235.873236","volume":"4","author":"M Russo","year":"2000","unstructured":"Russo, M.: Genetic fuzzy learning. IEEE. T. Evolut. Comput. 4(3), 259\u2013273 (2000)","journal-title":"IEEE. T. Evolut. Comput."},{"issue":"6","key":"192_CR9","doi-asserted-by":"crossref","first-page":"2397","DOI":"10.1109\/TFUZZ.2015.2426311","volume":"23","author":"G Acampora","year":"2015","unstructured":"Acampora, G., Pedrycz, W., Vitiello, A.: A competent memetic algorithm for learning fuzzy cognitive maps. IEEE T. Fuzzy Syst. 23(6), 2397\u20132411 (2015)","journal-title":"IEEE T. Fuzzy Syst."},{"issue":"6","key":"192_CR10","doi-asserted-by":"crossref","first-page":"2163","DOI":"10.1109\/TFUZZ.2015.2406889","volume":"23","author":"CLP Chen","year":"2015","unstructured":"Chen, C.L.P., Zhang, C.Y., Chen, L., Gan, M.: Fuzzy restricted boltzmann machine for the enhancement of deep learning. IEEE T. Fuzzy Syst. 23(6), 2163\u20132173 (2015)","journal-title":"IEEE T. Fuzzy Syst."},{"key":"192_CR11","unstructured":"Gonzalez, A., Perez, R., Verdegay, J.L.: Learning the structure of a fuzzy rule: a genetic approach. In Proceedings of the First European Congress on Fuzzy and Intelligent Technologies, pp. 814\u2013819 (1993)"},{"issue":"1\u20133","key":"192_CR12","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/S0165-0114(97)00043-2","volume":"100","author":"F Herrera","year":"1998","unstructured":"Herrera, F., Lozano, M., Verdegay, J.L.: A learning process for fuzzy control rules using genetic algorithms. Fuzzy Set. Syst. 100(1\u20133), 143\u2013158 (1998)","journal-title":"Fuzzy Set. Syst."},{"key":"192_CR13","first-page":"417","volume":"90","author":"H Ichihashi","year":"1990","unstructured":"Ichihashi, H., Watanabe, T.: Learning control system by a simplified fuzzy reasoning model. Institute for the Physics and Mathematics of the Universe (IPMU). 90, 417\u2013419 (1990)","journal-title":"Institute for the Physics and Mathematics of the Universe (IPMU)."},{"issue":"4","key":"192_CR14","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1109\/91.940964","volume":"9","author":"H Ishibuchi","year":"2001","unstructured":"Ishibuchi, H., Nakashima, T.: Effect of rule weights in fuzzy rule-based classification systems. IEEE T. Fuzzy Syst. 9(4), 506\u2013515 (2001)","journal-title":"IEEE T. Fuzzy Syst."},{"issue":"3","key":"192_CR15","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh, L.A.: Fuzzy sets. Inf. Control. 8(3), 338\u2013353 (1965)","journal-title":"Inf. Control."},{"key":"192_CR16","volume-title":"Data mining: concepts and techniques","author":"J Han","year":"2012","unstructured":"Han, J., Kamber, M., Pei, J.: Data mining: concepts and techniques, 3rd edn. Morgan Kaufmann, Waltham (2012)","edition":"3"},{"key":"192_CR17","volume-title":"Introductory statistics","author":"SM Ross","year":"2010","unstructured":"Ross, S.M.: Introductory statistics, 3rd edn. Elsevier, San Diego (2010)","edition":"3"},{"key":"192_CR18","volume-title":"Introduction to probability and statistics for engineers and scientists","author":"SM Ross","year":"2012","unstructured":"Ross, S.M.: Introduction to probability and statistics for engineers and scientists, 4th edn. Elsevier, Seoul (2012)","edition":"4"},{"issue":"1","key":"192_CR19","first-page":"1","volume":"65","author":"LS Riza","year":"2015","unstructured":"Riza, L.S., Bergmeir, C., Herrera, F., Ben\u00edtez, J.M.: frbs: fuzzy rule-based systems for classification and regression in R. J. Stat. Softw. 65(1), 1\u201330 (2015)","journal-title":"J. Stat. Softw."},{"key":"192_CR20","unstructured":"R Core Team, R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna (2015)"},{"key":"192_CR21","volume-title":"Introductory statistics with R","author":"P Dalgaard","year":"2002","unstructured":"Dalgaard, P.: Introductory statistics with R. Springer, New York (2002)"},{"key":"192_CR22","volume-title":"Package \u201cfrbs\u201d\u2014fuzzy rule-based systems for classification and regression tasks","author":"LS Riza","year":"2015","unstructured":"Riza, L.S., Bergmeir, C., Herrera, F., Benitez, J.M.: Package \u201cfrbs\u201d\u2014fuzzy rule-based systems for classification and regression tasks. R Foundation for Statistical Computing, Vienna (2015)"},{"key":"192_CR23","volume-title":"Package \u201cfugeR\u201d\u2014fuzzy genetic, a machine learning algorithm to construct prediction model based on fuzzy logic","author":"A Bujard","year":"2015","unstructured":"Bujard, A.: Package \u201cfugeR\u201d\u2014fuzzy genetic, a machine learning algorithm to construct prediction model based on fuzzy logic. R Foundation for Statistical Computing, Vienna (2015)"},{"key":"192_CR24","volume-title":"Package \u201ce1071\u201d - misc functions of the department of statistics, probability theory group (formerly: E1071)","author":"D Meyer","year":"2015","unstructured":"Meyer, D., Dimitriadou, E., Hornik, K., Weingessel, A., Leisch, F., Chang, C., Lin, C.: Package \u201ce1071\u201d - misc functions of the department of statistics, probability theory group (formerly: E1071). TU Wien. R Foundation for Statistical Computing, Vienna (2015)"},{"key":"192_CR25","volume-title":"Package \u201cfuzzyFDR\u201d - Exact calculation of fuzzy decision rules for multiple testing","author":"A Lewin","year":"2015","unstructured":"Lewin, A.: Package \u201cfuzzyFDR\u201d - Exact calculation of fuzzy decision rules for multiple testing. R Foundation for Statistical Computing, Vienna (2015)"},{"key":"192_CR26","volume-title":"Package \u201ccluster\u201d - finding groups in data: cluster analysis","author":"M Maechler","year":"2015","unstructured":"Maechler, M., Rousseeuw, P., Struyf, A., Hubert, M., Hornik, K., Studer, M., Roudier, P.: Package \u201ccluster\u201d - finding groups in data: cluster analysis. R Foundation for Statistical Computing, Vienna (2015)"},{"issue":"6","key":"192_CR27","doi-asserted-by":"crossref","first-page":"890","DOI":"10.1108\/IMDS-01-2013-0032","volume":"113","author":"S Jun","year":"2013","unstructured":"Jun, S., Park, S.: Examining technological innovation of Apple using patent analysis. Ind. Manage. Data Syst. 113(6), 890\u2013907 (2013)","journal-title":"Ind. Manage. Data Syst."},{"issue":"5","key":"192_CR28","doi-asserted-by":"crossref","first-page":"1216","DOI":"10.1016\/j.ipm.2006.11.011","volume":"43","author":"Y Tseng","year":"2007","unstructured":"Tseng, Y., Lin, C., Lin, Y.: Text mining techniques for patent analysis. Inf. Process Manag. 43(5), 1216\u20131247 (2007)","journal-title":"Inf. Process Manag."},{"key":"192_CR29","unstructured":"Tseng, Y., Juang, D., Wang, Y., Lin, C.: Text mining for patent map analysis. In Proceedings of IACIS Pacific Conference. pp. 1109\u20131116 (2005)"},{"key":"192_CR30","doi-asserted-by":"crossref","DOI":"10.1002\/9780470689646","volume-title":"Text mining applications and theory","author":"MW Berry","year":"2010","unstructured":"Berry, M.W., Kogan, J.: Text mining applications and theory. Wiley, New York (2010)"},{"issue":"4","key":"192_CR31","first-page":"315","volume":"7","author":"S Jun","year":"2013","unstructured":"Jun, S., Lee, S.: Extracting key technology using advanced fuzzy clustering. Int. J. Softw. Eng. Appl. 7(4), 315\u2013322 (2013)","journal-title":"Int. J. Softw. Eng. Appl."},{"issue":"7","key":"192_CR32","doi-asserted-by":"crossref","first-page":"978","DOI":"10.1016\/j.techfore.2008.12.001","volume":"76","author":"P Rikkonen","year":"2009","unstructured":"Rikkonen, P., Tapio, P.: Future prospects of alternative agro-based bioenergy use in Finland\u2014constructing scenarios with quantitative and qualitative Delphi data. Technol. Forecast. Soc. 76(7), 978\u2013990 (2009)","journal-title":"Technol. Forecast. Soc."},{"issue":"12","key":"192_CR33","doi-asserted-by":"crossref","first-page":"1585","DOI":"10.1049\/piee.1974.0328","volume":"121","author":"EH Mamdani","year":"1974","unstructured":"Mamdani, E.H.: Applications of fuzzy algorithm for control a simple dynamic plant. P. I. Electr. Eng. 121(12), 1585\u20131588 (1974)","journal-title":"P. I. Electr. Eng."},{"issue":"4","key":"192_CR34","doi-asserted-by":"crossref","first-page":"217","DOI":"10.5391\/IJFIS.2015.15.4.217","volume":"15","author":"AB Khalifa","year":"2015","unstructured":"Khalifa, A.B., Frigui, H.: Multiple instance Mamdani fuzzy inference. Int. J. Fuzzy Log. Intell. Syst. 15(4), 217\u2013231 (2015)","journal-title":"Int. J. Fuzzy Log. Intell. Syst."},{"key":"192_CR35","volume-title":"Classical and modern regression with applications","author":"RH Myers","year":"1990","unstructured":"Myers, R.H.: Classical and modern regression with applications. Duxbury, Belmont (1990)"},{"key":"192_CR36","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1109\/TSMC.1982.4308925","volume":"12","author":"H Tanaka","year":"1982","unstructured":"Tanaka, H., Uejima, S., Asai, K.: Linear regression analysis with fuzzy model. IEEE T. Syst. Man Cyb. 12, 903\u2013907 (1982)","journal-title":"IEEE T. Syst. Man Cyb."},{"issue":"1","key":"192_CR37","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5391\/IJFIS.2014.14.1.1","volume":"14","author":"JM Mendel","year":"2014","unstructured":"Mendel, J.M.: On a novel way of processing data that uses fuzzy sets for later use in rule-based regression and pattern classification. Int. J. Fuzzy Log. Intell. Syst. 14(1), 1\u20137 (2014)","journal-title":"Int. J. Fuzzy Log. Intell. Syst."},{"issue":"1","key":"192_CR38","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1108\/IMDS-05-2015-0206","volume":"116","author":"S Park","year":"2016","unstructured":"Park, S., Kim, J., Jang, D., Lee, H., Jun, S.: Methodology of technological evolution for three-dimensional printing. Ind. Manage. Data Syst. 116(1), 122\u2013146 (2016)","journal-title":"Ind. Manage. Data Syst."},{"key":"192_CR39","unstructured":"WIPS Corporation (WIPSON), \n                        http:\/\/www.wipson.com\n                        \n                     (2015)"},{"key":"192_CR40","unstructured":"The United States Patent and Trademark Office (USPTO), \n                        http:\/\/www.uspto.gov\n                        \n                     (2015)"},{"key":"192_CR41","volume-title":"R Package, \u201ctm\u201d\u2014a framework for text mining applications within R","author":"I Feinerer","year":"2015","unstructured":"Feinerer, I., Hornik, K.: R Package, \u201ctm\u201d\u2014a framework for text mining applications within R. R Foundation for Statistical Computing, Vienna (2015)"}],"container-title":["International Journal of Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s40815-016-0192-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-016-0192-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-016-0192-y","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-016-0192-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,2]],"date-time":"2019-06-02T19:23:57Z","timestamp":1559503437000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s40815-016-0192-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4,21]]},"references-count":41,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2017,8]]}},"alternative-id":["192"],"URL":"https:\/\/doi.org\/10.1007\/s40815-016-0192-y","relation":{},"ISSN":["1562-2479","2199-3211"],"issn-type":[{"value":"1562-2479","type":"print"},{"value":"2199-3211","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,4,21]]}}}