{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T08:01:36Z","timestamp":1777449696786,"version":"3.51.4"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2018,3,28]],"date-time":"2018-03-28T00:00:00Z","timestamp":1522195200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No. 61673354"],"award-info":[{"award-number":["No. 61673354"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61573324"],"award-info":[{"award-number":["61573324"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"State Key Lab of Digital Manufacturing Equipment & Technology","award":["DMETKF2018020"],"award-info":[{"award-number":["DMETKF2018020"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.1007\/s00521-018-3457-6","type":"journal-article","created":{"date-parts":[[2018,3,28]],"date-time":"2018-03-28T13:30:21Z","timestamp":1522243821000},"page":"4577-4593","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Spark-based intelligent parameter inversion method for prestack seismic data"],"prefix":"10.1007","volume":"31","author":[{"given":"Xuesong","family":"Yan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhixin","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengyu","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenyin","family":"Gong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinghua","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,3,28]]},"reference":[{"issue":"3","key":"3457_CR1","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1190\/1.1439241","volume":"5","author":"NS Neidell","year":"1986","unstructured":"Neidell NS (1986) Amplitude variation with offset. The Leading Edge 5(3):47\u201351","journal-title":"The Leading Edge"},{"key":"3457_CR2","unstructured":"Li Shaopeng. The Study and Application of The Methods of AVO Seismic Parameter Inversion, Master thesis, China University of Petroleum, (in Chinese), China"},{"key":"3457_CR3","unstructured":"Chen Jianjiang (2007) Study of Three-term AVO Inversion Method. Ph.D. thesis, China University of Petroleum, (in Chinese), China."},{"key":"3457_CR4","doi-asserted-by":"publisher","first-page":"1126","DOI":"10.1190\/1.1889928","volume-title":"SEG technical program expanded abstracts 1990","author":"E Berg","year":"1990","unstructured":"Berg E (1990) Simple convergent genetic algorithm for inversion of multiparameter data. In: Foster DJ, Keys RG (eds) SEG technical program expanded abstracts 1990. Society of Exploration Geophysicists, Tulsa, pp 1126\u20131128"},{"issue":"4","key":"3457_CR5","doi-asserted-by":"publisher","first-page":"939","DOI":"10.1190\/1.1443860","volume":"60","author":"S Mallick","year":"1995","unstructured":"Mallick S (1995) Model-based inversion of amplitude-variations-with-offset data using a genetic algorithm. Geophysics 60(4):939\u2013954","journal-title":"Geophysics"},{"issue":"5","key":"3457_CR6","doi-asserted-by":"publisher","first-page":"R71","DOI":"10.1190\/1.2958008","volume":"73","author":"S Misra","year":"2008","unstructured":"Misra S, Sacchi MD (2008) Global optimization with model-space preconditioning: application to AVO inversion. Geophysics 73(5):R71\u2013R82","journal-title":"Geophysics"},{"issue":"1","key":"3457_CR7","first-page":"104","volume":"23","author":"Lu Pengfei","year":"2008","unstructured":"Pengfei Lu, Changchun Yang, Aihua Guo et al (2008) Modified simulated annealing algorithm and its application in pre-stack inversion of reservoir parameters. Prog Geophys 23(1):104\u2013109","journal-title":"Prog Geophys"},{"issue":"11","key":"3457_CR8","first-page":"2951","volume":"54","author":"T Zhu","year":"2011","unstructured":"Zhu T, Li XF, Li YQ et al (2011) Seismic scalar wave equation inversion based on an improved particle swarm optimization algorithm. Chin J Geophys 54(11):2951\u20132959 (in Chinese)","journal-title":"Chin J Geophys"},{"issue":"6","key":"3457_CR9","doi-asserted-by":"publisher","first-page":"1877","DOI":"10.1190\/1.1527087","volume":"67","author":"XQ Ma","year":"2002","unstructured":"Ma XQ (2002) Simultaneous inversion of prestack seismic data for rock properties using simulated annealing. Geophysics 67(6):1877\u20131885","journal-title":"Geophysics"},{"issue":"1","key":"3457_CR10","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1190\/1.1543206","volume":"68","author":"A Buland","year":"2003","unstructured":"Buland A, Omre H (2003) Bayesian linearized AVO inversion. Geophysics 68(1):185\u2013198","journal-title":"Geophysics"},{"key":"3457_CR11","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1190\/1.1816604","volume-title":"SEG technical program expanded abstracts 2001","author":"S Mogensen","year":"2001","unstructured":"Mogensen S (2001) Artificial neural networks solutions to AVO inversion problems. In: Calandra H, Khoury A, Bothorel F, Vezolles P (eds) SEG technical program expanded abstracts 2001. Society of Exploration Geophysicists, Tulsa, pp 316\u2013319"},{"key":"3457_CR12","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1190\/segam2016-13959236.1","volume-title":"SEG technical program expanded abstracts 2016","author":"A Agarwal","year":"2016","unstructured":"Agarwal A, Sain K, Shalivahan S (2016) Travel time and constrained AVO inversion using FDR PSO. In: Waters OT (ed) SEG technical program expanded abstracts 2016. Society of Exploration Geophysicists, Tulsa, pp 577\u2013581"},{"key":"3457_CR13","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.jappgeo.2015.06.009","volume":"120","author":"G Li","year":"2015","unstructured":"Li G, You J, Liu X (2015) Support Vector Machine (SVM) based prestack AVO inversion and its applications. J Appl Geophys 120:60\u201368","journal-title":"J Appl Geophys"},{"issue":"3","key":"3457_CR14","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1016\/j.jappgeo.2011.08.005","volume":"75","author":"P Soupios","year":"2011","unstructured":"Soupios P, Akca I, Mpogiatzis P, Basokur AT, Papazachos C (2011) Applications of hybrid genetic algorithms in seismic tomography. J Appl Geophys 75(3):479\u2013489","journal-title":"J Appl Geophys"},{"key":"3457_CR15","doi-asserted-by":"publisher","first-page":"692","DOI":"10.1190\/1.1822591","volume-title":"SEG technical program expanded abstracts 1993","author":"MJ Porsani","year":"1993","unstructured":"Porsani MJ, Stoffa PL, Sen MK, Chunduru R, Wood WT (1993) A combined genetic and linear inversion algorithm for seismic waveform inversion. In: Kendall RR, Davis TL (eds) SEG technical program expanded abstracts 1993. Society of Exploration Geophysicists, Tulsa, pp 692\u2013695"},{"key":"3457_CR16","doi-asserted-by":"crossref","unstructured":"Priezzhev I, Shmaryan L, Bejarano G (2008) Nonlinear multitrace seismic inversion using neural network and genetic algorithm-\u201d Genetic Inversion. In: Extended abstract, EAGE conference, Saint Petersburg","DOI":"10.3997\/2214-4609.20146808"},{"key":"3457_CR17","doi-asserted-by":"crossref","unstructured":"Junyu B, Zilong X, Yunfei X, Tianshou X (2014) Nonlinear hybrid optimization algorithm for seismic impedance inversion. In: Beijing 2014 international geophysical conference & exposition, Beijing, China, 21\u201324 April 2014, (pp 541\u2013544). Society of Exploration Geophysicists and Chinese Petroleum Society","DOI":"10.1190\/IGCBeijing2014-138"},{"key":"3457_CR18","unstructured":"Wang L P. Study on intelligent optimization algorithm with application to prestack AVO nonlinear inversion. Ph.D. thesis, China University of Geosciences, (in Chinese), China"},{"issue":"6","key":"3457_CR19","first-page":"700","volume":"44","author":"Z Yan","year":"2009","unstructured":"Yan Z, Gu HM, Zhao XM (2009) Non-linear AVO inversion based on ant colony algorithm. Oil Geophys Prospect 44(6):700\u2013702 (in Chinese)","journal-title":"Oil Geophys Prospect"},{"issue":"1","key":"3457_CR20","first-page":"6","volume":"23","author":"C Yin","year":"2001","unstructured":"Yin C, Xie GS (2001) Seismic inversion and non-linear stochastic optimistic algorithms. Comput Tech Geophys Geochem Explor 23(1):6\u201310 (in Chinese)","journal-title":"Comput Tech Geophys Geochem Explor"},{"issue":"1","key":"3457_CR21","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1145\/1327452.1327492","volume":"51","author":"J Dean","year":"2008","unstructured":"Dean J, Ghemawat S (2008) MapReduce: simplified data processing on large clusters. Commun ACM 51(1):107\u2013113","journal-title":"Commun ACM"},{"key":"3457_CR22","unstructured":"Cui L (2014) Parallel PSO in Spark (Master\u2019s thesis, University of Stavanger, Norway)"},{"issue":"10","key":"3457_CR23","first-page":"2777","volume":"35","author":"ZY Wang","year":"2015","unstructured":"Wang ZY, Wang HJ et al (2015) Ant colony optimization algorithm based on Spark. J Comput Appl 35(10):2777\u20132780 (in Chinese)","journal-title":"J Comput Appl"},{"issue":"5","key":"3457_CR24","first-page":"238","volume":"43","author":"ZS Liu","year":"2016","unstructured":"Liu ZS, Pang ZS (2016) Research on parallel SVM algorithm based on Spark. Comput Sci 43(5):238\u2013242 (in Chinese)","journal-title":"Comput Sci"},{"issue":"7","key":"3457_CR25","first-page":"2080","volume":"34","author":"ZH Xu","year":"2017","unstructured":"Xu ZH, Zhao JW et al (2017) Study of parallel genetic algorithm using travelling salesman problem. Appl Res Comput 34(7):2080\u20132083 (in Chinese)","journal-title":"Appl Res Comput"},{"issue":"5","key":"3457_CR26","first-page":"855","volume":"40","author":"JL Huang","year":"2010","unstructured":"Huang JL, Li QC et al (2010) Relative wave impedances inversion based on distributed parallel genetic algorithm. J Northwest University (Nat Sci Ed) 40(5):855\u2013859 (in Chinese)","journal-title":"J Northwest University (Nat Sci Ed)"},{"key":"3457_CR27","first-page":"66","volume":"1","author":"E ZoeppritzK","year":"1919","unstructured":"ZoeppritzK E (1919) On the reflection and propagation of seismic waves. Gottinger Nachrichten 1:66\u201384","journal-title":"Gottinger Nachrichten"},{"issue":"1","key":"3457_CR28","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/TSMCB.2006.883272","volume":"37","author":"B Liu","year":"2007","unstructured":"Liu B, Wang L, Jin YH (2007) An effective PSO-based memetic algorithm for flow shop scheduling. IEEE Trans Syst Man Cybern Part B (Cybern) 37(1):18\u201327","journal-title":"IEEE Trans Syst Man Cybern Part B (Cybern)"},{"issue":"3","key":"3457_CR29","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1016\/j.cor.2008.12.004","volume":"37","author":"L Wang","year":"2010","unstructured":"Wang L, Pan QK, Suganthan PN, Wang WH, Wang YM (2010) A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems. Comput Op Res 37(3):509\u2013520","journal-title":"Comput Op Res"},{"issue":"1","key":"3457_CR30","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.swevo.2011.03.001","volume":"1","author":"A Zhou","year":"2011","unstructured":"Zhou A, Qu BY, Li H, Zhao SZ, Suganthan PN, Zhang Q (2011) Multiobjective evolutionary algorithms: A survey of the state of the art. Swarm Evolut Comput 1(1):32\u201349","journal-title":"Swarm Evolut Comput"},{"key":"3457_CR31","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1016\/j.solener.2013.05.007","volume":"94","author":"W Gong","year":"2013","unstructured":"Gong W, Cai Z (2013) Parameter extraction of solar cell models using repaired adaptive differential evolution. Solar Energy 94:209\u2013220","journal-title":"Solar Energy"},{"issue":"1","key":"3457_CR32","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/TEVC.2013.2260862","volume":"18","author":"M Gong","year":"2014","unstructured":"Gong M, Cai Q, Chen X, Ma L (2014) Complex network clustering by multiobjective discrete particle swarm optimization based on decomposition. IEEE Trans Evolut Comput 18(1):82\u201397","journal-title":"IEEE Trans Evolut Comput"},{"key":"3457_CR33","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.ins.2014.03.105","volume":"279","author":"K Tang","year":"2014","unstructured":"Tang K, Peng F, Chen G, Yao X (2014) Population-based algorithm portfolios with automated constituent algorithms selection. Inf Sci 279:94\u2013104","journal-title":"Inf Sci"},{"issue":"5","key":"3457_CR34","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1109\/TEVC.2015.2449293","volume":"19","author":"W Gong","year":"2015","unstructured":"Gong W, Zhou A, Cai Z (2015) A multioperator search strategy based on cheap surrogate models for evolutionary optimization. IEEE Trans Evolut Comput 19(5):746\u2013758","journal-title":"IEEE Trans Evolut Comput"},{"issue":"6","key":"3457_CR35","doi-asserted-by":"publisher","first-page":"807","DOI":"10.1109\/TEVC.2014.2387433","volume":"19","author":"A Zhou","year":"2015","unstructured":"Zhou A, Sun J, Zhang Q (2015) An estimation of distribution algorithm with cheap and expensive local search methods. IEEE Trans Evolut Comput 19(6):807\u2013822","journal-title":"IEEE Trans Evolut Comput"},{"key":"3457_CR36","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.energy.2015.03.117","volume":"86","author":"W Gong","year":"2015","unstructured":"Gong W, Yan X, Liu X, Cai Z (2015) Parameter extraction of different fuel cell models with transferred adaptive differential evolution. Energy 86:139\u2013151","journal-title":"Energy"},{"key":"3457_CR37","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.ins.2015.05.022","volume":"320","author":"L Wang","year":"2015","unstructured":"Wang L, Ni H, Yang R, Pardalos PM, Du X, Fei M (2015) An adaptive simplified human learning optimization algorithm. Inf Sci 320:126\u2013139","journal-title":"Inf Sci"},{"issue":"12","key":"3457_CR38","doi-asserted-by":"publisher","first-page":"3263","DOI":"10.1109\/TNNLS.2015.2469673","volume":"26","author":"M Gong","year":"2015","unstructured":"Gong M, Liu J, Li H, Cai Q, Su L (2015) A multiobjective sparse feature learning model for deep neural networks. IEEE Trans Neural Netw Learn Syst 26(12):3263\u20133277","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"4","key":"3457_CR39","doi-asserted-by":"publisher","first-page":"716","DOI":"10.1109\/TCYB.2014.2334692","volume":"45","author":"W Gong","year":"2015","unstructured":"Gong W, Cai Z, Liang D (2015) Adaptive ranking mutation operator based differential evolution for constrained optimization. IEEE Trans Cybern 45(4):716\u2013727","journal-title":"IEEE Trans Cybern"},{"issue":"1","key":"3457_CR40","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/TEVC.2015.2424251","volume":"20","author":"A Zhou","year":"2016","unstructured":"Zhou A, Zhang Q (2016) Are all the subproblems equally important? Resource allocation in decomposition-based multiobjective evolutionary algorithms. IEEE Trans Evolut Comput 20(1):52\u201364","journal-title":"IEEE Trans Evolut Comput"},{"issue":"06","key":"3457_CR41","doi-asserted-by":"publisher","first-page":"1650013","DOI":"10.1142\/S0218001416500130","volume":"30","author":"X Yan","year":"2016","unstructured":"Yan X, Wu Q, Sheng VS (2016) A double weighted Naive Bayes with niching cultural algorithm for multi-label classification. Int J Pattern Recognit Artif Intell 30(06):1650013","journal-title":"Int J Pattern Recognit Artif Intell"},{"issue":"3","key":"3457_CR42","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1109\/JSAC.2016.2525458","volume":"34","author":"K Tang","year":"2016","unstructured":"Tang K, Yang P, Yao X (2016) Negatively correlated search. IEEE J Sel Areas Commun 34(3):542\u2013550","journal-title":"IEEE J Sel Areas Commun"},{"issue":"4","key":"3457_CR43","doi-asserted-by":"publisher","first-page":"2075","DOI":"10.1007\/s10586-016-0646-x","volume":"19","author":"Q Wu","year":"2016","unstructured":"Wu Q, Liu H, Yan X (2016) Multi-label classification algorithm research based on swarm intelligence. Clust Comput 19(4):2075\u20132085","journal-title":"Clust Comput"},{"key":"3457_CR44","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.swevo.2016.06.002","volume":"32","author":"J Deng","year":"2017","unstructured":"Deng J, Wang L (2017) A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem. Swarm Evolut Comput 32:121\u2013131","journal-title":"Swarm Evolut Comput"},{"issue":"1","key":"3457_CR45","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/s10586-016-0680-8","volume":"20","author":"X Yan","year":"2017","unstructured":"Yan X, Liu H, Zhu Z, Wu Q (2017) Hybrid genetic algorithm for engineering design problems. Clust Comput 20(1):263\u2013275","journal-title":"Clust Comput"},{"issue":"11","key":"3457_CR46","doi-asserted-by":"publisher","first-page":"3928","DOI":"10.1109\/TCYB.2016.2590558","volume":"47","author":"K Tang","year":"2017","unstructured":"Tang K, Wang J, Li X, Yao X (2017) A scalable approach to capacitated arc routing problems based on hierarchical decomposition. IEEE Trans Cybern 47(11):3928\u20133940","journal-title":"IEEE Trans Cybern"},{"issue":"2","key":"3457_CR47","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1007\/s10586-017-0787-6","volume":"20","author":"X Yan","year":"2017","unstructured":"Yan X, Sun J, Hu C (2017) Research on contaminant sources identification of uncertainty water demand using genetic algorithm. Clust Comput 20(2):1007\u20131016","journal-title":"Clust Comput"},{"issue":"5","key":"3457_CR48","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1109\/TEVC.2017.2670779","volume":"21","author":"W Gong","year":"2017","unstructured":"Gong W, Wang Y, Cai Z, Yang S (2017) A weighted biobjective transformation technique for locating multiple optimal solutions of nonlinear equation systems. IEEE Trans Evolut Comput 21(5):697\u2013713","journal-title":"IEEE Trans Evolut Comput"},{"issue":"4","key":"3457_CR49","doi-asserted-by":"publisher","first-page":"3173","DOI":"10.1007\/s10586-017-1033-y","volume":"20","author":"Q Wu","year":"2017","unstructured":"Wu Q, Wang L, Zhu Z (2017) Research of pre-stack AVO elastic parameter inversion problem based on hybrid genetic algorithm. Clust Comput 20(4):3173\u20133783","journal-title":"Clust Comput"},{"issue":"13","key":"3457_CR50","doi-asserted-by":"publisher","first-page":"14951","DOI":"10.1007\/s11042-016-4313-2","volume":"76","author":"X Yan","year":"2017","unstructured":"Yan X, Song T, Wu Q (2017) An improved cultural algorithm and its application in image matching. Multimed Tools Appl 76(13):14951\u201314968","journal-title":"Multimed Tools Appl"},{"issue":"4","key":"3457_CR51","doi-asserted-by":"publisher","first-page":"2881","DOI":"10.1007\/s10586-017-0895-3","volume":"20","author":"Q Wu","year":"2017","unstructured":"Wu Q, Zhu Z, Yan X (2017) Research on the parameter inversion problem of prestack seismic data based on improved differential evolution algorithm. Clust Comput 20(4):2881\u20132890","journal-title":"Clust Comput"},{"key":"3457_CR52","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2017.05.010","author":"X Yan","year":"2017","unstructured":"Yan X, Zhao J, Hu C, Zeng D (2017) Multimodal optimization problem in contamination source determination of water supply networks. Swarm Evolut Comput. \n                    https:\/\/doi.org\/10.1016\/j.swevo.2017.05.010","journal-title":"Swarm Evolut Comput"},{"key":"3457_CR53","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.4230","author":"X Yan","year":"2017","unstructured":"Yan X, Gong W, Wu Q (2017) Contaminant source identification of water distribution networks using cultural algorithm. Concur Comput Pract Exp. \n                    https:\/\/doi.org\/10.1002\/cpe.4230","journal-title":"Concur Comput Pract Exp"},{"key":"3457_CR54","doi-asserted-by":"publisher","DOI":"10.1007\/s11356-017-0516-y","author":"X Yan","year":"2017","unstructured":"Yan X, Zhu Z, Li T (2017) Pollution source localization in an urban water supply network based on dynamic water demand. Environ Sci Pollut Res. \n                    https:\/\/doi.org\/10.1007\/s11356-017-0516-y","journal-title":"Environ Sci Pollut Res"},{"key":"3457_CR55","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.cageo.2017.10.002","volume":"110","author":"X Yan","year":"2018","unstructured":"Yan X, Zhu Z, Wu Q (2018) Intelligent inversion method for pre-stack seismic big data based on MapReduce. Comput Geosci 110:81\u201389","journal-title":"Comput Geosci"},{"key":"3457_CR56","unstructured":"Zaharia M, Chowdhury M, Das T, Dave A, Ma J, McCauley M, Stoica I (2012) Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing. In: Proceedings of the 9th USENIX conference on networked systems design and implementation. USENIX Association, pp 2\u20132"},{"issue":"4","key":"3457_CR57","first-page":"45","volume":"37","author":"M Zaharia","year":"2012","unstructured":"Zaharia M, Chowdhury M, Das T, Dave A, Ma J, Mccauley M, Stoica I (2012) Fast and interactive analytics over Hadoop data with Spark. USENIX Login 37(4):45\u201351","journal-title":"USENIX Login"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3457-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-018-3457-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3457-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,30]],"date-time":"2019-09-30T20:40:43Z","timestamp":1569876043000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-018-3457-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,28]]},"references-count":57,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2019,9]]}},"alternative-id":["3457"],"URL":"https:\/\/doi.org\/10.1007\/s00521-018-3457-6","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3,28]]},"assertion":[{"value":"24 December 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 March 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 March 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that there is no conflict of interest regarding the publication of this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}