{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T01:08:09Z","timestamp":1767143289685,"version":"build-2238731810"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2018,8,22]],"date-time":"2018-08-22T00:00:00Z","timestamp":1534896000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,8,22]],"date-time":"2018-08-22T00:00:00Z","timestamp":1534896000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Science Foundation of Sichuan Science and Technology Department","award":["2018GZ0178"],"award-info":[{"award-number":["2018GZ0178"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61701327"],"award-info":[{"award-number":["61701327"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61711540303"],"award-info":[{"award-number":["61711540303"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1007\/s12652-018-0980-3","type":"journal-article","created":{"date-parts":[[2018,8,22]],"date-time":"2018-08-22T08:56:25Z","timestamp":1534928185000},"page":"3899-3913","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A system based on Hadoop for radar data analysis"],"prefix":"10.1007","volume":"10","author":[{"given":"Chi","family":"Yang","sequence":"first","affiliation":[]},{"given":"Xiaomin","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Feng","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,8,22]]},"reference":[{"issue":"9","key":"980_CR1","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.datak.2013.06.005","volume":"87","author":"A Achar","year":"2013","unstructured":"Achar A, Ibrahim A, Sastry PS (2013) Pattern-growth based frequent serial episode discovery. Data Knowl Eng 87(9):91\u2013108","journal-title":"Data Knowl Eng"},{"issue":"6","key":"980_CR2","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1109\/ICDE.1995.380415","volume":"31","author":"R Agrawal","year":"1995","unstructured":"Agrawal R, Srikant R (1995) Mining sequential patterns. Proc Eleventh Inter Conf Data Eng 31(6):3\u201314","journal-title":"Proc Eleventh Inter Conf Data Eng"},{"issue":"3","key":"980_CR3","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1021\/ci010384s","volume":"42","author":"M Daszykowski","year":"2002","unstructured":"Daszykowski M, Walczak B, Massart DL (2002) Looking for natural patterns in analytical data. 2. Tracing local density with optics. J Chem Inf Comput Sci 42(3):500","journal-title":"J Chem Inf Comput Sci"},{"issue":"1","key":"980_CR4","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1145\/1629175.1629198","volume":"53","author":"J Dean","year":"2010","unstructured":"Dean J, Ghemawat S (2010) Mapreduce: a flexible data processing tool. Commun ACM 53(1):72\u201377","journal-title":"Commun ACM"},{"key":"980_CR5","unstructured":"Ester M (1996) A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), pp 226\u2013231"},{"key":"980_CR6","doi-asserted-by":"crossref","unstructured":"Fournier-Viger P, Wu CW, Gomariz A, Tseng VS (2014) VMSP: efficient vertical mining of maximal sequential patterns. In: Canadian conference on artificial intelligence, pp 109\u2013120","DOI":"10.1007\/978-3-319-06483-3_8"},{"issue":"1","key":"980_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s41044-016-0020-2","volume":"2","author":"D Garcagil","year":"2017","unstructured":"Garcagil D, Ramrezgallego S, Garca S, Herrera F (2017) A comparison on scalability for batch big data processing on apache spark and apache flink. Big Data Anal 2(1):1","journal-title":"Big Data Anal"},{"key":"980_CR8","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.procs.2015.04.108","volume":"48","author":"MR Ghazi","year":"2015","unstructured":"Ghazi MR, Gangodkar D (2015) Hadoop, mapreduce and HDFS: a developers perspective. Proc Comput Sci 48:45\u201350","journal-title":"Proc Comput Sci"},{"key":"980_CR9","first-page":"607","volume-title":"Introduction to radar systems","author":"IS Merrill","year":"2001","unstructured":"Merrill IS (2001) Introduction to radar systems. McGraw-Hill, Boston, pp 607\u2013609"},{"issue":"3","key":"980_CR10","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1007\/s10115-006-0038-2","volume":"11","author":"X Ji","year":"2007","unstructured":"Ji X, Bailey J, Dong G (2007) Mining minimal distinguishing subsequence patterns with gap constraints. Knowl Inf Syst 11(3):259\u2013286","journal-title":"Knowl Inf Syst"},{"key":"980_CR11","doi-asserted-by":"publisher","first-page":"1399","DOI":"10.1016\/j.future.2018.01.039","volume":"83","author":"L Jian","year":"2018","unstructured":"Jian L, Yang X, Zhou Z, Zhou K, Liu K (2018) Multi-scale image fusion through rolling guidance filter. Future Gener Comput Syst 83:1399\u20131420","journal-title":"Future Gener Comput Syst"},{"issue":"11","key":"980_CR12","first-page":"36","volume":"28","author":"QB Jiang","year":"2006","unstructured":"Jiang QB, Hong guang MA, Xi A (2006) A novel nonmatched detection algorithm of radar pulse signal. Mod Radar 28(11):36\u201340","journal-title":"Mod Radar"},{"key":"980_CR13","doi-asserted-by":"crossref","unstructured":"Koliopoulos AK, Yiapanis P, Tekiner F, Nenadic G, Keane J (2015) A parallel distributed weka framework for big data mining using spark. 9\u201316","DOI":"10.1109\/BigDataCongress.2015.12"},{"key":"980_CR14","unstructured":"Lin X, Wang P, Wu B (2014) Log analysis in cloud computing environment with hadoop and spark. In: IEEE international conference on broadband network and multimedia technology, pp 273\u2013276"},{"key":"980_CR15","doi-asserted-by":"crossref","unstructured":"Malewicz G, Austern MH, Bik AJC, Dehnert JC, Horn I, Leiser N, Czajkowski G (2010) Pregel: a system for large-scale graph processing. In: ACM SIGMOD international conference on management of data, pp 135\u2013146","DOI":"10.1145\/1807167.1807184"},{"issue":"1","key":"980_CR16","first-page":"1235","volume":"17","author":"X Meng","year":"2015","unstructured":"Meng X, Bradley J, Yavuz B, Sparks E, Venkataraman S, Liu D, Freeman J, Tsai D, Amde M, Owen S (2015) Mllib: machine learning in apache spark. J Mach Learn Res 17(1):1235\u20131241","journal-title":"J Mach Learn Res"},{"key":"980_CR17","unstructured":"Pei J, Han J, Mortazaviasl B, Pinto H, Chen Q, Dayal U, Hsu MC (2001) Prefixspan: mining sequential patterns efficiently by prefix-projected pattern growth. In: International conference on data engineering, p 215"},{"issue":"1","key":"980_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3108936","volume":"2016","author":"MMU Rathore","year":"2017","unstructured":"Rathore MMU, Ahmad A, Paul A (2017) Hadoop-based intelligent care system (hics): analytical approach for big data in iot. ACM Trans Internet Technol 2016(1):1\u201324","journal-title":"ACM Trans Internet Technol"},{"issue":"13","key":"980_CR19","doi-asserted-by":"publisher","first-page":"2110","DOI":"10.14778\/2831360.2831365","volume":"8","author":"J Shi","year":"2015","unstructured":"Shi J, Qiu Y, Minhas UF, Jiao L, Wang C, Reinwald B (2015) Clash of the titans: mapreduce vs. spark for large scale data analytics. Proc Vldb Endow 8(13):2110\u20132121","journal-title":"Proc Vldb Endow"},{"key":"980_CR20","first-page":"6","volume":"35","author":"KV Shvachko","year":"2010","unstructured":"Shvachko KV (2010) HDFS scalability: the limits to growth. USENIX Mag 35:6\u201316","journal-title":"USENIX Mag"},{"key":"980_CR21","doi-asserted-by":"crossref","unstructured":"Srikant R, Agrawal R (1996) Mining sequential patterns: generalizations and performance improvements. In: International conference on extending database technology, Springer, pp 1\u201317","DOI":"10.1007\/BFb0014140"},{"key":"980_CR22","first-page":"1","volume-title":"Hadoop : the definitive guide","author":"T White","year":"2012","unstructured":"White T, Cutting D (2012) Hadoop : the definitive guide, vol 215(11). Oreilly Media Inc, Gravenstein Highway North, pp 1\u20134"},{"issue":"99","key":"980_CR23","first-page":"1","volume":"PP","author":"X Yang","year":"2018","unstructured":"Yang X, Wu W, Liu K, Kim PW, Sangaiah AK, Jeon G (2018) Multi-semi-couple super-resolution method for edge computing. IEEE Access PP(99):1\u20131","journal-title":"IEEE Access"},{"key":"980_CR24","unstructured":"Zaharia M, Chowdhury M, Franklin MJ, Shenker S, Stoica I (2010) Spark: cluster computing with working sets. In: Usenix conference on hot topics in cloud computing, pp 10\u201310"}],"updated-by":[{"DOI":"10.1007\/s12652-020-02489-8","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000}}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-018-0980-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12652-018-0980-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-018-0980-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T14:46:20Z","timestamp":1598971580000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12652-018-0980-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,22]]},"references-count":24,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2019,10]]}},"alternative-id":["980"],"URL":"https:\/\/doi.org\/10.1007\/s12652-018-0980-3","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8,22]]},"assertion":[{"value":"31 March 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 August 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 August 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 September 2020","order":4,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":5,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The below affiliation for author Chi Yang was missed to be included in the original article.","order":6,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}}]}}