{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T04:08:21Z","timestamp":1744258101822,"version":"3.40.4"},"reference-count":61,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2015,5,23]],"date-time":"2015-05-23T00:00:00Z","timestamp":1432339200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,5,23]],"date-time":"2015-05-23T00:00:00Z","timestamp":1432339200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundation of China","doi-asserted-by":"crossref","award":["71271191"],"award-info":[{"award-number":["71271191"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the National Science and Technology Pillar Program during the 12th Five-year Plan Period of China","award":["2012BAF12B11"],"award-info":[{"award-number":["2012BAF12B11"]}]},{"name":"Zhejiang Provincial Natural Science Foundation of China"},{"name":"Scientific Research Foundation for the Returned Overseas Chinese Scholars","award":["2013"],"award-info":[{"award-number":["2013"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2018,1]]},"DOI":"10.1007\/s13042-015-0376-z","type":"journal-article","created":{"date-parts":[[2015,5,22]],"date-time":"2015-05-22T17:42:03Z","timestamp":1432316523000},"page":"133-144","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Universal knowledge discovery from big data using combined dual-cycle"],"prefix":"10.1007","volume":"9","author":[{"given":"Bin","family":"Shen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,5,23]]},"reference":[{"key":"376_CR1","unstructured":"What is a controlled\n experiment? http:\/\/www.innovateus.net\/innopedia\/what-controlled-experiment. Accessed 15 May 2014"},{"key":"376_CR2","doi-asserted-by":"crossref","unstructured":"Agrawal R, Imieli\u0144ski T, Swami A (1993) Mining association rules between sets of items in large databases. In: ACM SIGMOD Record, vol 22, pp 207\u2013216. ACM","DOI":"10.1145\/170036.170072"},{"issue":"6018","key":"376_CR3","doi-asserted-by":"publisher","first-page":"708","DOI":"10.1126\/science.1199305","volume":"331","author":"H Akil","year":"2011","unstructured":"Akil H, Martone ME, Van Essen DC (2011) Challenges and opportunities in mining neuroscience data. Science (New York, NY) 331(6018):708","journal-title":"Science (New York, NY)"},{"key":"376_CR4","unstructured":"Barab\u00e1si AL (2010) Bursts: the hidden patterns behind everything we do, from your e-mail to bloody crusades. \nPenguin Group, New York"},{"issue":"5439","key":"376_CR5","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1126\/science.286.5439.509","volume":"286","author":"AL Barab\u00e1si","year":"1999","unstructured":"Barab\u00e1si AL, Albert R (1999) Emergence of scaling in random networks. Science 286(5439):509\u2013512","journal-title":"Science"},{"issue":"5919","key":"376_CR6","doi-asserted-by":"publisher","first-page":"1297","DOI":"10.1126\/science.1170411","volume":"323","author":"G Bell","year":"2009","unstructured":"Bell G, Hey T, Szalay A (2009) Beyond the data deluge. Science 323(5919):1297\u20131298","journal-title":"Science"},{"issue":"1","key":"376_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000006","volume":"2","author":"Y Bengio","year":"2009","unstructured":"Bengio Y (2009) Learning deep architectures for ai. Foundations Trends Mach Learn 2(1):1\u2013127","journal-title":"Foundations Trends Mach Learn"},{"issue":"7075","key":"376_CR8","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1038\/nature04292","volume":"439","author":"D Brockmann","year":"2006","unstructured":"Brockmann D, Hufnagel L, Geisel T (2006) The scaling laws of human travel. Nature 439(7075):462\u2013465","journal-title":"Nature"},{"key":"376_CR9","doi-asserted-by":"crossref","unstructured":"i Cancho RF, Sol\u00e9 RV (2001) The small world of human language. Proc R Soc Lond Ser B Biol Sci 268(1482):2261\u20132265","DOI":"10.1098\/rspb.2001.1800"},{"issue":"2","key":"376_CR10","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1002\/widm.1044","volume":"2","author":"L Cao","year":"2012","unstructured":"Cao L (2012) Actionable knowledge discovery and delivery. Wiley Interdiscip Rev Data Mining Knowl Discov 2(2):149\u2013163","journal-title":"Wiley Interdiscip Rev Data Mining Knowl Discov"},{"key":"376_CR11","doi-asserted-by":"crossref","unstructured":"Cao L, Yu S (2012) Behavior computing. Springer, Berlin","DOI":"10.1007\/978-1-4471-2969-1"},{"key":"376_CR12","doi-asserted-by":"crossref","unstructured":"Chen W, Chen Y, Weinberger KQ (2014) Fast flux discriminant for large-scale sparse nonlinear classification. In: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, pp 621\u2013630. ACM","DOI":"10.1145\/2623330.2623627"},{"key":"376_CR13","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.dss.2013.07.006","volume":"57","author":"T Chesney","year":"2014","unstructured":"Chesney T (2014) Networked individuals predict a community wide outcome from their local information. Decis Support Syst 57:11\u201321","journal-title":"Decis Support Syst"},{"issue":"7191","key":"376_CR14","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1038\/nature06830","volume":"453","author":"A Clauset","year":"2008","unstructured":"Clauset A, Moore C, Newman ME (2008) Hierarchical structure and the prediction of missing links in networks. Nature 453(7191):98\u2013101","journal-title":"Nature"},{"issue":"2","key":"376_CR15","doi-asserted-by":"publisher","first-page":"1481","DOI":"10.14778\/1687553.1687576","volume":"2","author":"J Cohen","year":"2009","unstructured":"Cohen J, Dolan B, Dunlap M, Hellerstein JM, Welton C (2009) Mad skills: new analysis practices for big data. Proc VLDB Endow 2(2):1481\u20131492","journal-title":"Proc VLDB Endow"},{"issue":"2","key":"376_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2481244.2481246","volume":"14","author":"W Fan","year":"2013","unstructured":"Fan W, Bifet A (2013) Mining big data: current status, and forecast to the future. ACM SIGKDD Explor Newsl 14(2):1\u20135","journal-title":"ACM SIGKDD Explor Newsl"},{"issue":"3","key":"376_CR17","first-page":"37","volume":"17","author":"U Fayyad","year":"1996","unstructured":"Fayyad U, Piatetsky-Shapiro G, Smyth P (1996) From data mining to knowledge discovery in databases. AI Mag 17(3):37","journal-title":"AI Mag"},{"key":"376_CR18","doi-asserted-by":"crossref","unstructured":"Feenstra RC, Lipsey RE, Deng H, Ma AC, Mo H (2005) World trade flows: 1962\u20132000. Tech. rep, National Bureau of Economic Research","DOI":"10.3386\/w11040"},{"key":"376_CR19","doi-asserted-by":"crossref","unstructured":"Gao L, Song C, Gao Z, Barab\u00e1si AL, Bagrow JP, Wang D (2014) Quantifying information flow during emergencies. Scientific reports 4","DOI":"10.1038\/srep03997"},{"issue":"7232","key":"376_CR20","doi-asserted-by":"publisher","first-page":"1012","DOI":"10.1038\/nature07634","volume":"457","author":"J Ginsberg","year":"2008","unstructured":"Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L (2008) Detecting influenza epidemics using search engine query data. Nature 457(7232):1012\u20131014","journal-title":"Nature"},{"key":"376_CR21","doi-asserted-by":"publisher","first-page":"1018","DOI":"10.1038\/4651018a","volume":"465","author":"GM Viswanathan","year":"2010","unstructured":"Viswanathan GM (2010) Fish in\n l\u00e9vy-flight foraging. Nature 465:1018\u20131019","journal-title":"Nature"},{"issue":"7196","key":"376_CR22","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1038\/nature06958","volume":"453","author":"MC Gonzalez","year":"2008","unstructured":"Gonzalez MC, Hidalgo CA, Barabasi AL (2008) Understanding individual human mobility patterns. Nature 453(7196):779\u2013782","journal-title":"Nature"},{"key":"376_CR23","unstructured":"Groot AD, Spiekerman JA (1969) Methodology: foundations of inference and research in the behavioral sciences. Mouton, The Hague"},{"key":"376_CR24","doi-asserted-by":"crossref","unstructured":"Guo L, Lou X, Shi P, Wang J, Huang X, Zhang J (2015) Flow distances on open flow networks. arXiv preprint arXiv:1501.06058","DOI":"10.1016\/j.physa.2015.05.070"},{"key":"376_CR25","unstructured":"Hey AJ, Tansley S, Tolle KM et al (2009) The fourth paradigm: \ndata-intensive scientific discovery. Microsoft Research, Washington"},{"key":"376_CR26","unstructured":"IBM (2012) What is big data? http:\/\/www-01.ibm.com\/software\/data\/bigdata\/. Accessed 10 Dec 2012"},{"key":"376_CR27","unstructured":"Jiawei H, Kamber M (2001) Data mining: concepts and techniques. Morgan Kaufmann, San Francisco"},{"key":"376_CR28","unstructured":"Langley P (1978) Bacon. 1: a general discovery system. In: Proceedings 2nd Biennial conference of the Canadian society for computational studies of intelligence, pp 173\u2013180"},{"key":"376_CR29","unstructured":"Langley P (1979) Rediscovering physics with bacon. 3. In: IJCAI, pp 505\u2013507"},{"issue":"6176","key":"376_CR30","doi-asserted-by":"publisher","first-page":"1203","DOI":"10.1126\/science.1248506","volume":"343","author":"DM Lazer","year":"2014","unstructured":"Lazer DM, Kennedy R, King G, Vespignani A (2014) The parable of google flu: traps in big data analysis. Science 343(6176):1203\u20131205","journal-title":"Science"},{"issue":"2","key":"376_CR31","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1145\/2481244.2481247","volume":"14","author":"J Lin","year":"2013","unstructured":"Lin J, Ryaboy D (2013) Scaling big data mining infrastructure: the twitter experience. ACM SIGKDD Explor Newsl 14(2):6\u201319","journal-title":"ACM SIGKDD Explor Newsl"},{"key":"376_CR32","doi-asserted-by":"crossref","unstructured":"Liu CL, Tsai TH, Lee CH (2014) Online chinese restaurant process. In: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, pp 591\u2013600. ACM","DOI":"10.1145\/2623330.2623636"},{"issue":"7209","key":"376_CR33","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1038\/455028a","volume":"455","author":"C Lynch","year":"2008","unstructured":"Lynch C (2008) Big data: how do your data grow? Nature 455(7209):28\u201329","journal-title":"Nature"},{"key":"376_CR34","unstructured":"Manyika J, Chui M, Brown B, Bughin J, Dobbs R, Roxburgh C, Byers AH (2011) Big data: the next frontier for innovation, competition, and productivity. http:\/\/www.mckinsey.com\/insights\/business_technology\/big_data_the_next_frontier_for_innovation. Accessed 20 May 2011"},{"issue":"7453","key":"376_CR35","doi-asserted-by":"publisher","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(7453):255\u2013260","journal-title":"Nature"},{"key":"376_CR36","unstructured":"Mayer-Sch\u00f6nberger V, Cukier K (2013) Big data: a revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt, Boston"},{"issue":"1","key":"376_CR37","first-page":"60","volume":"2","author":"S Milgram","year":"1967","unstructured":"Milgram S (1967) The small world problem. Psychol Today 2(1):60\u201367","journal-title":"Psychol Today"},{"issue":"1\u20133","key":"376_CR38","first-page":"17","volume":"12","author":"B Nordhausen","year":"1993","unstructured":"Nordhausen B, Langley P (1993) An integrated framework for empirical discovery. Mach Learn 12(1\u20133):17\u201347","journal-title":"Mach Learn"},{"key":"376_CR39","doi-asserted-by":"crossref","unstructured":"Peng C, Jin X, Wong KC, Shi M, Li\u00f2 P (2012) Collective human mobility pattern from taxi trips in urban area. PloS one 7(4):e34\u2013487","DOI":"10.1371\/journal.pone.0034487"},{"key":"376_CR40","doi-asserted-by":"crossref","unstructured":"Pulverm\u00fcller F (2002) The neuroscience of language: on brain circuits of words and serial order. Cambridge University Press, Cambridge","DOI":"10.1017\/CBO9780511615528"},{"key":"376_CR41","first-page":"1","volume":"1","author":"X Qian","year":"1981","unstructured":"Qian X (1981) A rediscussion on the system of system science. Syst Eng Theory Prac 1:1\u20133","journal-title":"Syst Eng Theory Prac"},{"key":"376_CR42","unstructured":"Qian X, Yu J, Dai R (1990) A new field of science: open complex giant system and its methodology. Nature Mag China 13:3\u201310"},{"key":"376_CR43","doi-asserted-by":"crossref","unstructured":"Rajaraman A, Ullman JD (2011) Mining of massive datasets. Cambridge University Press, Cambridge","DOI":"10.1017\/CBO9781139058452"},{"key":"376_CR44","unstructured":"Shawn J (2014) Why \u201cbig data\u201d is a big deal: information science promises to change the world. Harv Mag. Harvardmagazine.com"},{"issue":"1","key":"376_CR45","first-page":"48","volume":"11","author":"B Shen","year":"2014","unstructured":"Shen B (2014) A comparative study and an integration of research paradigms of complex networks and data mining. Complex Syst Complex Sci 11(1):48\u201352","journal-title":"Complex Syst Complex Sci"},{"key":"376_CR46","unstructured":"Shen B, Jiang Z, Qiuhua Z (2015) Exploring multi-layer flow network of international trade based on flow distances. arXiv preprint. http:\/\/arxiv.org\/abs\/1504.02361v1"},{"issue":"1","key":"376_CR47","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1007\/s10115-009-0207-1","volume":"23","author":"B Shen","year":"2010","unstructured":"Shen B, Yao M, Wu Z, Gao Y (2010) Mining dynamic association rules with comments. Knowl Info Syst 23(1):73\u201398","journal-title":"Knowl Info Syst"},{"key":"376_CR48","unstructured":"Tang C (2014) http:\/\/blog.sciencenet.cn\/home.php?mod=space&uid=287179&do=blog&id=765603. Accessed 8 Feb 2014"},{"issue":"11","key":"376_CR49","first-page":"2732","volume":"28","author":"C Tang","year":"2008","unstructured":"Tang C, Zhang Y, Tang L, Li C, Chen Y (2008) A survey on mining kinetic intervention rule from sub-complex systems. J Comput Appl 28(11):2732\u20132736","journal-title":"J Comput Appl"},{"issue":"2","key":"376_CR50","first-page":"103","volume":"34","author":"B Wang","year":"2012","unstructured":"Wang B, Zhou T, Zhou C (2012) Statistical physics research for human behaviors, complex networks and information mining. J Univ Shanghai Sci Technol 34(2):103\u2013117","journal-title":"J Univ Shanghai Sci Technol"},{"key":"376_CR51","doi-asserted-by":"crossref","unstructured":"Watts DJ, Strogatz SH (1998) Collective dynamics of \u2019small-world\u2019 networks. Nature 393(6684):440\u2013442","DOI":"10.1038\/30918"},{"key":"376_CR52","doi-asserted-by":"crossref","unstructured":"Wu WT (1994) Mechanical theorem proving in geometries: basic principles. Springer, Berlin","DOI":"10.1007\/978-3-7091-6639-0"},{"key":"376_CR53","unstructured":"Xu G, Gu J, Che H (2000) System science. Shanghai scientific and technological education press, Shanghai"},{"key":"376_CR54","doi-asserted-by":"crossref","unstructured":"Yan XY, Han XP, Wang BH, Zhou T (2013) Diversity of individual mobility patterns and emergence of aggregated scaling laws. Scientific reports 3","DOI":"10.1038\/srep02678"},{"issue":"04","key":"376_CR55","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1142\/S0219622006002258","volume":"5","author":"Q Yang","year":"2006","unstructured":"Yang Q, Wu X (2006) 10 challenging problems in data mining research. Int J Info Tech Decis Mak 5(04):597\u2013604","journal-title":"Int J Info Tech Decis Mak"},{"key":"376_CR56","doi-asserted-by":"crossref","unstructured":"Zhang F, Wilkie D, Zheng Y, Xie X (2013) Sensing the pulse of urban refueling behavior. In: Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing, pp 13\u201322. ACM","DOI":"10.1145\/2493432.2493448"},{"key":"376_CR57","unstructured":"Zhou T (2013) In the big data era, china has not lagged behind. http:\/\/blog.sciencenet.cn\/blog-3075-657481.html. Accessed 29 Jan 2013"},{"key":"376_CR58","doi-asserted-by":"crossref","unstructured":"Zhu YX, Huang J, Zhang ZK, Zhang QM, Zhou T, Ahn YY (2013) Geography and similarity of regional cuisines in china. PloS One 8(11):e79\u2013161","DOI":"10.1371\/journal.pone.0079161"},{"key":"376_CR59","unstructured":"Zikopoulos P, Eaton C et al. (2011) Understanding big data: analytics for enterprise class hadoop and streaming data. McGraw-Hill Osborne Media, New York"},{"issue":"1","key":"376_CR60","first-page":"107","volume":"1","author":"JM Zytkow","year":"1986","unstructured":"Zytkow JM, Simon HA (1986) A theory of historical discovery: the construction of componential models. Mach Learn 1(1):107\u2013137","journal-title":"Mach Learn"},{"key":"376_CR61","unstructured":"Zytkow JM, Zhu J, Hussam A (1990) Automated discovery in a chemistry laboratory. In: AAAI, pp 889\u2013894"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-015-0376-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0376-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0376-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0376-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T04:52:11Z","timestamp":1744174331000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-015-0376-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5,23]]},"references-count":61,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,1]]}},"alternative-id":["376"],"URL":"https:\/\/doi.org\/10.1007\/s13042-015-0376-z","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"type":"print","value":"1868-8071"},{"type":"electronic","value":"1868-808X"}],"subject":[],"published":{"date-parts":[[2015,5,23]]},"assertion":[{"value":"27 November 2014","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 May 2015","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 May 2015","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}