{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T08:44:04Z","timestamp":1768725844915,"version":"3.49.0"},"reference-count":75,"publisher":"Springer Science and Business Media LLC","issue":"1-4","license":[{"start":{"date-parts":[[2014,9,6]],"date-time":"2014-09-06T00:00:00Z","timestamp":1409961600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Brain Inf."],"published-print":{"date-parts":[[2014,12]]},"DOI":"10.1007\/s40708-014-0001-z","type":"journal-article","created":{"date-parts":[[2014,9,5]],"date-time":"2014-09-05T10:40:47Z","timestamp":1409913647000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Granular computing with multiple granular layers for brain big data processing"],"prefix":"10.1007","volume":"1","author":[{"given":"Guoyin","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ji","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,9,6]]},"reference":[{"key":"1_CR1","doi-asserted-by":"crossref","unstructured":"Zhong N, Liu JM, Yao YY, Wu JL, Lu SF, Qin YL, Li KC, Wah B (2007) Web intelligence meets brain informatics. In: Web intelligence meets brain informatics. Springer, Berlin, pp 1\u201331","DOI":"10.1007\/978-3-540-77028-2_1"},{"key":"1_CR2","unstructured":"BBC News\u2014England riots: Dangers behind false rumors (2011) http:\/\/www.bbc.co.uk\/news\/uk-14490693"},{"key":"1_CR3","unstructured":"Wikipedia (2014) Data science. http:\/\/en.wikipedia.org\/wiki\/Data_science"},{"key":"1_CR4","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1038\/493473a","volume":"493","author":"CA Mattmann","year":"2013","unstructured":"Mattmann CA (2013) Computing: a vision for data science. Nature 493:473\u2013475","journal-title":"Nature"},{"key":"1_CR5","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1145\/2168931.2168943","volume":"19","author":"D Fisher","year":"2012","unstructured":"Fisher D, DeLine R, Czerwinski M et al (2012) Interactions with big data analytics. Interactions 19:50\u201359","journal-title":"Interactions"},{"key":"1_CR6","unstructured":"Agrawal D, Bernstein P, Bertino E et al (2012) Challenges and opportunities with big data. http:\/\/cra.org\/ccc\/docs\/init\/bigdatawhitepaper.pdf"},{"key":"1_CR7","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1109\/TKDE.2013.109","volume":"26","author":"XD Wu","year":"2014","unstructured":"Wu XD, Zhu XQ, Wu GQ, Ding W (2014) Data mining with big data. IEEE Trans Knowl Data Eng 26:97\u2013107","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Chen CLP, Zhang CY (2014) Data-intensive applications, challenges, techniques and technologies: a survey on big data. Inf Sci. doi: 10.1016\/j.ins.2014.01.015","DOI":"10.1016\/j.ins.2014.01.015"},{"key":"1_CR9","doi-asserted-by":"crossref","first-page":"2521","DOI":"10.1109\/TKDE.2012.203","volume":"25","author":"XX Han","year":"2013","unstructured":"Han XX, Li JZ, Yang DH, Wang JB (2013) Efficient skyline computation on big data. IEEE Trans Knowl Data Eng 25:2521\u20132535","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1_CR10","doi-asserted-by":"crossref","first-page":"1130","DOI":"10.1109\/TFUZZ.2012.2201485","volume":"20","author":"TC Havens","year":"2012","unstructured":"Havens TC, Bezdek JC, Leckie C, Hall LO, Palaniswami M (2012) Fuzzy c-means algorithms for very large data. IEEE Trans Fuzzy Syst 20:1130\u20131146","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1_CR11","doi-asserted-by":"crossref","first-page":"2658","DOI":"10.1109\/TKDE.2012.220","volume":"25","author":"JG Lu","year":"2013","unstructured":"Lu JG, Li DD (2013) Bias correction in a small sample from big data. IEEE Trans Knowl Data Eng 25:2658\u20132663","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1_CR12","unstructured":"Sun WQ, Li FQ, Jin YH, Hu WS (2013) Store, schedule and switch\u2014a new data delivery model in the big data era. In: Proceedings of IEEE 15th international conference on transparent optical networks (ICTON\u201913), pp 1\u20134"},{"key":"1_CR13","doi-asserted-by":"crossref","first-page":"2710","DOI":"10.1109\/JSAC.2013.131211","volume":"31","author":"LQ Zhang","year":"2013","unstructured":"Zhang LQ et al (2013) Moving big data to the cloud: an online cost-minimizing approach. IEEE J Sel Area Commun 31:2710\u20132721","journal-title":"IEEE J Sel Area Commun"},{"key":"1_CR14","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.2307\/41703503","volume":"36","author":"H Chen","year":"2012","unstructured":"Chen H, Chiang RHL, Storey VC (2012) Business intelligence and analytics: from big data to big impact. MIS Q 36:1165\u20131188","journal-title":"MIS Q"},{"key":"1_CR15","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1038\/498255a","volume":"498","author":"V Marx","year":"2013","unstructured":"Marx V (2013) Biology: the big challenges of big data. Nature 498:255\u2013260","journal-title":"Nature"},{"key":"1_CR16","doi-asserted-by":"crossref","unstructured":"Bedini I, Elser B, Velegrakis Y (2013) The Trento big data platform for public administration and large companies: use cases and opportunities. In: Proceeding of VLDB endowment, vol 6, pp 1166\u20131167","DOI":"10.14778\/2536222.2536242"},{"key":"1_CR17","doi-asserted-by":"crossref","first-page":"594","DOI":"10.1557\/mrs.2013.187","volume":"38","author":"AA White","year":"2013","unstructured":"White AA (2013) Big data are shaping the future of materials science. MRS Bull 38:594\u2013595","journal-title":"MRS Bull"},{"key":"1_CR18","doi-asserted-by":"crossref","first-page":"1158","DOI":"10.1109\/TPAMI.2007.70776","volume":"30","author":"VC Raykar","year":"2008","unstructured":"Raykar VC, Duraiswami R, Krishnapuram B (2008) A fast algorithm for learning a ranking function from large-scale data sets. IEEE Trans Pattern Anal 30:1158\u20131170","journal-title":"IEEE Trans Pattern Anal"},{"key":"1_CR19","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1109\/TKDE.2006.45","volume":"18","author":"J Yan","year":"2006","unstructured":"Yan J et al (2006) Effective and efficient dimensionality reduction for large-scale and streaming data preprocessing. IEEE Trans Knowl Data Eng 18:320\u2013333","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1_CR20","doi-asserted-by":"crossref","first-page":"1178","DOI":"10.1109\/TPAMI.2012.197","volume":"35","author":"XD Wu","year":"2013","unstructured":"Wu XD, Yu K, Ding W, Wang H, Zhu XQ (2013) Online feature selection with streaming features. IEEE Trans Pattern Anal 35:1178\u20131192","journal-title":"IEEE Trans Pattern Anal"},{"key":"1_CR21","doi-asserted-by":"crossref","unstructured":"Melnik S, Gubarev A, Long JJ, Romer G, Shivakumar S, Tolton M, Vassilakis T (2010) Dremel: interactive analysis of web-scale datasets. In: Proceedings of VLDB Endowment, vol 3, pp 330\u2013339","DOI":"10.14778\/1920841.1920886"},{"key":"1_CR22","unstructured":"IBM White Paper (2013) IBM InfoSphere streams\u2014redefining real-time analytics processing. http:\/\/www-01.ibm.com\/common\/ssi\/cgi-bin\/ssialias?infotype=SA&subtype=WH&htmlfid=IMW14704USEN"},{"key":"1_CR23","unstructured":"IBM White Paper (2013) Using IBM InfoSphere BigInsights to accelerate big data time-to-value. http:\/\/public.dhe.ibm.com\/common\/ssi\/ecm\/en\/imw14684usen\/IMW14684USEN.PDF"},{"key":"1_CR24","unstructured":"Microsoft (2014) HDInsight service. http:\/\/www.windowsazure.com\/en-us\/services\/hdinsight\/"},{"key":"1_CR25","unstructured":"Oracle (2014) Oracle Exadata database machine. http:\/\/www.oracle.com\/us\/products\/database\/exadata\/overview\/index.html"},{"key":"1_CR26","unstructured":"EMC (2014) EMC Greenplum data computing appliance. http:\/\/www.emc.com\/collateral\/hardware\/data-sheet\/h7419-greenplum-dca-ds.pdf"},{"key":"1_CR27","unstructured":"Welcome to Apache Hadoop. http:\/\/hadoop.apache.org\/"},{"key":"1_CR28","unstructured":"Cloudera (2013) Cloudera Impala. http:\/\/www.cloudera.com\/content\/cloudera\/en\/products-and-services\/cdh\/impala.html"},{"key":"1_CR29","unstructured":"Department of Statistics of Purdue University (2012) Divide and Recombine (D&R) with RHIPE. http:\/\/www.datadr.org\/"},{"key":"1_CR30","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1109\/MIS.2011.83","volume":"26","author":"N Zhong","year":"2011","unstructured":"Zhong N, Bradshaw JM, Liu JM, Taylor JG (2011) Brain informatics. IEEE Intell Syst 26:16\u201321","journal-title":"IEEE Intell Syst"},{"key":"1_CR31","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1126\/science.1238409","volume":"342","author":"NB Turk-Browne","year":"2013","unstructured":"Turk-Browne NB (2013) Functional interactions as big data in the human brain. Science 342:580\u2013584","journal-title":"Science"},{"key":"1_CR32","doi-asserted-by":"crossref","first-page":"2127","DOI":"10.1109\/TKDE.2011.139","volume":"24","author":"N Zhong","year":"2012","unstructured":"Zhong N, Chen J (2012) Constructing a new-style conceptual model of brain data for systematic brain informatics. IEEE Trans Knowl Data Eng 24:2127\u20132142","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1_CR33","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1002\/ar.1057","volume":"265","author":"AW Toga","year":"2001","unstructured":"Toga AW, Thompson PM (2001) Maps of the brain. Anat Rec 265:37\u201353","journal-title":"Anat Rec"},{"key":"1_CR34","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/MC.2013.196","volume":"46","author":"K Michael","year":"2013","unstructured":"Michael K, Mille KW (2013) Big data: new opportunities and new challenges. IEEE Comput 46:22\u201324","journal-title":"IEEE Comput"},{"key":"1_CR35","unstructured":"The Human Brain Project\u2014A Report to the European Commission (2012) https:\/\/www.humanbrainproject.eu\/documents\/10180\/17648\/TheHBPReport_LR.pdf\/18e5747e-10af-4bec-9806-d03aead57655"},{"key":"1_CR36","unstructured":"White House (2013) Fact Sheet: BRAIN initiative. http:\/\/www.whitehouse.gov\/the-press-office\/2013\/04\/02\/fact-sheet-brain-initiative"},{"key":"1_CR37","doi-asserted-by":"crossref","first-page":"752","DOI":"10.1016\/j.neuroimage.2010.02.040","volume":"51","author":"S Ryali","year":"2010","unstructured":"Ryali S, Supekar K, Abrams DA, Menon V (2010) Sparse logistic regression for whole-brain classification of fMRI data. NeuroImage 51:752\u2013764","journal-title":"NeuroImage"},{"key":"1_CR38","doi-asserted-by":"crossref","first-page":"1977","DOI":"10.1109\/TSMCC.2012.2236648","volume":"43","author":"JT Yao","year":"2013","unstructured":"Yao JT, Vasilakos AV, Pedrycz W (2013) Granular computing: perspectives and challenges. IEEE Trans Cybern 43:1977\u20131989","journal-title":"IEEE Trans Cybern"},{"key":"1_CR39","unstructured":"Yao YY (2000) Granular computing: basic issues and possible solutions. In: Proceedings of 5th joint conference on information sciences, vol 1, Atlantic, pp 186\u2013189"},{"key":"1_CR40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ins.2007.08.011","volume":"178","author":"YH Chen","year":"2008","unstructured":"Chen YH, Yao YY (2008) A multiview approach for intelligent data analysis based on data operators. Inf Sci 178:1\u201320","journal-title":"Inf Sci"},{"key":"1_CR41","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.artint.2013.11.003","volume":"207","author":"M Nakatsuji","year":"2014","unstructured":"Nakatsuji M, Fujiwara Y (2014) Linked taxonomies to capture users\u2019 subjective assessments of items to facilitate accurate collaborative filtering. Artif Intell 207:52\u201368","journal-title":"Artif Intell"},{"key":"1_CR42","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.ejor.2012.03.038","volume":"232","author":"W Pedrycz","year":"2014","unstructured":"Pedrycz W (2014) Allocation of information granularity in optimization and decision-making models: towards building the foundations of granular computing. Eur J Oper Res 232:137\u2013145","journal-title":"Eur J Oper Res"},{"key":"1_CR43","doi-asserted-by":"crossref","first-page":"4209","DOI":"10.1016\/j.asoc.2013.06.017","volume":"13","author":"W Pedrycz","year":"2013","unstructured":"Pedrycz W, Homenda W (2013) Building the fundamentals of granular computing: a principle of justifiable granularity. Appl Soft Comput 13:4209\u20134218","journal-title":"Appl Soft Comput"},{"key":"1_CR44","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1016\/0898-1221(92)90148-B","volume":"23","author":"G McCalla","year":"1992","unstructured":"McCalla G, Greer J, Barrie B et al (1992) Granularity hierarchies. Comput Math Appl 23:363\u2013375","journal-title":"Comput Math Appl"},{"key":"1_CR45","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ins.2013.06.012","volume":"249","author":"P Zhu","year":"2013","unstructured":"Zhu P, Hu Q (2013) Adaptive neighborhood granularity selection and combination based on margin distribution optimization. Inf Sci 249:1\u201312","journal-title":"Inf Sci"},{"key":"1_CR46","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/S0165-0114(97)00077-8","volume":"90","author":"LA Zadeh","year":"1997","unstructured":"Zadeh LA (1997) Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzz Sets Syst 90:111\u2013127","journal-title":"Fuzz Sets Syst"},{"key":"1_CR47","doi-asserted-by":"crossref","first-page":"2751","DOI":"10.1016\/j.ins.2008.02.012","volume":"178","author":"LA Zadeh","year":"2008","unstructured":"Zadeh LA (2008) Is there a need for fuzzy logic? Inf Sci 178:2751\u20132779","journal-title":"Inf Sci"},{"key":"1_CR48","doi-asserted-by":"crossref","first-page":"1229","DOI":"10.3724\/SP.J.1016.2009.01229","volume":"32","author":"GY Wang","year":"2009","unstructured":"Wang GY, Yao YY, Yu H (2009) A survey on rough set theory and applications. Chin J Comput 32:1229\u20131246","journal-title":"Chin J Comput"},{"key":"1_CR49","unstructured":"Wang GY (2002) Extension of rough set under incomplete information systems. In: Proceedings 2002 IEEE international conference on fuzzy systems, vol 2, pp 1098\u20131103"},{"key":"1_CR50","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1002\/int.10109","volume":"18","author":"GY Wang","year":"2003","unstructured":"Wang GY (2003) Rough reduction in algebra view and information view. Int J Intell Syst 18:679\u2013688","journal-title":"Int J Intell Syst"},{"key":"1_CR51","doi-asserted-by":"crossref","unstructured":"Peters JF, Szczuka MS (2002) Rough neurocomputation: a survey of basic models of neurocomputation. In: Proceedings of 3rd international conference (RSCTC 2002), Malvern, PA, pp 308\u2013315","DOI":"10.1007\/3-540-45813-1_40"},{"key":"1_CR52","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1080\/03081079008935107","volume":"17","author":"D Dubois","year":"1990","unstructured":"Dubois D, Prade H (1990) Rough fuzzy sets and fuzzy rough sets. Int J Gen Syst 17:191\u2013209","journal-title":"Int J Gen Syst"},{"key":"1_CR53","first-page":"395","volume":"90","author":"GY Wang","year":"2009","unstructured":"Wang GY, Wang Y (2009) 3DM: domain-oriented data-driven data mining. Fund Inf 90:395\u2013426","journal-title":"Fund Inf"},{"key":"1_CR54","volume-title":"Theory of problem solving and its applications","author":"B Zhang","year":"2007","unstructured":"Zhang B, Zhang L (2007) Theory of problem solving and its applications, 2nd edn. Tsinghua University Press, Beijing in Chinese","edition":"2"},{"key":"1_CR55","first-page":"287","volume":"59","author":"L Zhang","year":"2004","unstructured":"Zhang L, Zhang B (2004) The quotient space theory of problem solving. Fund Inf 59:287\u2013298","journal-title":"Fund Inf"},{"key":"1_CR56","first-page":"603S","volume":"6","author":"D Wu","year":"2012","unstructured":"Wu D, Ban XJ, Oquendo F (2012) An architecture model of distributed simulation system based on quotient space. Appl Math 6:603S\u2013609S","journal-title":"Appl Math"},{"key":"1_CR57","doi-asserted-by":"crossref","unstructured":"Zhang C, Zhang Y, Wu XP (2011) Audio signal blind deconvolution based on the quotient space hierarchical theory. In: Rough sets and knowledge technology. Springer, Berlin, pp 585\u2013590","DOI":"10.1007\/978-3-642-24425-4_74"},{"key":"1_CR58","first-page":"770","volume":"14","author":"L Zhang","year":"2003","unstructured":"Zhang L, Zhang B (2003) Theory of fuzzy quotient space (methods of fuzzy granular computing). J Softw 14:770\u2013776 (in Chinese with English abstract)","journal-title":"J Softw"},{"key":"1_CR59","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/j.ins.2005.03.005","volume":"173","author":"L Zhang","year":"2005","unstructured":"Zhang L, Zhang B (2005) Fuzzy reasoning model under quotient space structure. Inf Sci 173:353\u2013364","journal-title":"Inf Sci"},{"key":"1_CR60","unstructured":"Li DY et al (2008) Artificial intelligence with uncertainty. Chapman &Hall\/CRC Press, Boca Raton"},{"key":"1_CR61","first-page":"385","volume":"127","author":"YC Liu","year":"2013","unstructured":"Liu YC, Li DY, He W, Wang GY (2013) Granular computing based on gaussian cloud transformation. Fund Inf 127:385\u2013398","journal-title":"Fund Inf"},{"key":"1_CR62","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"GE Hinton","year":"2006","unstructured":"Hinton GE, Salakhutdinov RR (2006) Reducing the dimensionality of data with neural networks. Science 313:504\u2013507","journal-title":"Science"},{"key":"1_CR63","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/2200000006","volume":"2","author":"Y Bengio","year":"2009","unstructured":"Bengio Y (2009) Learning deep architectures for AI. Found Trends Mach Learn 2:1\u2013127","journal-title":"Found Trends Mach Learn"},{"key":"1_CR64","first-page":"153","volume":"19","author":"Y Bengio","year":"2007","unstructured":"Bengio Y, Lamblin P, Popovici D et al (2007) Greedy layer-wise training of deep networks. Adv Neural Inf Process Syst 19:153","journal-title":"Adv Neural Inf Process Syst"},{"key":"1_CR65","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.1109\/TPAMI.2013.50","volume":"35","author":"Y Bengio","year":"2013","unstructured":"Bengio Y, Courville A, Vincent P (2013) Representation learning: a review and new perspectives. IEEE Trans Pattern Anal Mach Intell 35:1798\u20131828","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1_CR66","unstructured":"Le QV, Ranzato MA, Monga R et al (2011) Building high-level features using large scale unsupervised learning. arXiv preprint. arXiv:1112.6209"},{"key":"1_CR67","unstructured":"Breakthrough Technologies (2013) http:\/\/www.technologyreview.com\/lists\/breakthrough-technologies\/2013\/"},{"key":"1_CR68","first-page":"665","volume":"23","author":"JSR Jang","year":"1993","unstructured":"Jang JSR (1993) ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans SMC 23:665\u2013685","journal-title":"IEEE Trans SMC"},{"key":"1_CR69","doi-asserted-by":"crossref","first-page":"1099","DOI":"10.1109\/72.728355","volume":"9","author":"GY Wang","year":"1998","unstructured":"Wang GY, Shi HB (1998) TMLNN: triple-valued or multiple-valued logic neural network. IEEE Trans Neural Netw 9:1099\u20131117","journal-title":"IEEE Trans Neural Netw"},{"key":"1_CR70","doi-asserted-by":"crossref","unstructured":"Lee H, Grosse R, Ranganath R, Ng AY (2009) Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In: Proceedings of ICML 2009. ACM, New York, pp 609\u2013616","DOI":"10.1145\/1553374.1553453"},{"key":"1_CR71","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1126\/science.7134969","volume":"218","author":"L Chen","year":"1982","unstructured":"Chen L (1982) Topological structure in visual perception. Science 218:699","journal-title":"Science"},{"key":"1_CR72","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1109\/MCI.2008.926583","volume":"3","author":"LA Zadeh","year":"2008","unstructured":"Zadeh LA (2008) Toward human level machine intelligence-is it achievable? The need for a paradigm shift. IEEE Comput Intell Mag 3:11\u201322","journal-title":"IEEE Comput Intell Mag"},{"key":"1_CR73","doi-asserted-by":"crossref","first-page":"1972","DOI":"10.1109\/TBME.2006.881782","volume":"53","author":"A Gacek","year":"2006","unstructured":"Gacek A, Pedrycz W (2006) A granular description of ECG signals. IEEE Trans Biomed Eng 53:1972\u20131982","journal-title":"IEEE Trans Biomed Eng"},{"key":"1_CR74","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ins.2012.08.028","volume":"221","author":"A Gacek","year":"2013","unstructured":"Gacek A (2013) Granular modelling of signals: a framework of granular computing. Inf Sci 221:1\u201311","journal-title":"Inf Sci"},{"key":"1_CR75","doi-asserted-by":"crossref","first-page":"5662","DOI":"10.1016\/j.asoc.2011.03.027","volume":"11","author":"SK Meher","year":"2011","unstructured":"Meher SK, Pal SK (2011) Rough-wavelet granular space and classification of multispectral remote sensing image. Appl Soft Comput 11:5662\u20135673","journal-title":"Appl Soft Comput"}],"container-title":["Brain Informatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s40708-014-0001-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s40708-014-0001-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s40708-014-0001-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,14]],"date-time":"2019-08-14T14:17:25Z","timestamp":1565792245000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s40708-014-0001-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,9,6]]},"references-count":75,"journal-issue":{"issue":"1-4","published-print":{"date-parts":[[2014,12]]}},"alternative-id":["1"],"URL":"https:\/\/doi.org\/10.1007\/s40708-014-0001-z","relation":{},"ISSN":["2198-4018","2198-4026"],"issn-type":[{"value":"2198-4018","type":"print"},{"value":"2198-4026","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,9,6]]}}}