{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T19:56:20Z","timestamp":1759694180247},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2016,9,24]],"date-time":"2016-09-24T00:00:00Z","timestamp":1474675200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"the Sciences Foundation of Jiangsu Province","award":["No. 14ZWD001"],"award-info":[{"award-number":["No. 14ZWD001"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1007\/s10586-016-0657-7","type":"journal-article","created":{"date-parts":[[2016,9,23]],"date-time":"2016-09-23T21:35:05Z","timestamp":1474666505000},"page":"1885-1893","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Data mining based quality analysis on informants involved applied research"],"prefix":"10.1007","volume":"19","author":[{"given":"Jinlou","family":"Xie","sequence":"first","affiliation":[]},{"given":"Jianjian","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Qingyuan","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,9,24]]},"reference":[{"key":"657_CR1","unstructured":"Xu, X.: Some statistical problems related to GDP accounting. Financ. Trade. Econ. 4, 5\u201310 (2009)"},{"key":"657_CR2","first-page":"15","volume":"12","author":"Z Pang","year":"2013","unstructured":"Pang, Z., Niu, C.: Construction of nonsampling error function\u2014a discussion of non-response error based on incomplete sample frame. Stat. Inf. Forum. 12, 15\u201319 (2013)","journal-title":"Stat. Inf. Forum."},{"key":"657_CR3","first-page":"10","volume":"9","author":"H Wang","year":"2009","unstructured":"Wang, H., Jin, Y.: Analytical methods for the error effect of precision evaluation of statistical data. Stat. Inf. Forum 9, 10\u201316 (2009)","journal-title":"Stat. Inf. Forum"},{"key":"657_CR4","volume-title":"Big data","author":"T Zipei","year":"2013","unstructured":"Zipei, T.: Big data. Guangxi Normal University Press, Guangxi Province (2013)"},{"key":"657_CR5","first-page":"8","volume":"8","author":"W Dang","year":"2013","unstructured":"Dang, W.: Research on the evaluation methods of macro statistical data quality based on SAM. Stat. Inf. Forum 8, 8\u201314 (2013)","journal-title":"Stat. Inf. Forum"},{"key":"657_CR6","first-page":"47","volume":"9","author":"F Zhang","year":"2013","unstructured":"Zhang, F., Zhu, S., Cong, R.: Investigation and analysis of statistical data accuracy and the influencing factors. World Survey. Res. 9, 47\u201349 (2013)","journal-title":"World Survey. Res."},{"key":"657_CR7","first-page":"78","volume":"6","author":"L Feng","year":"2013","unstructured":"Feng, L., Zhou, J.: Assessment methods of government statistical data accuracy. Stat. Res. 6, 78\u201384 (2013)","journal-title":"Stat. Res."},{"key":"657_CR8","first-page":"53","volume":"11","author":"H Fan","year":"2010","unstructured":"Fan, H.: Total quality management of survey data. Stat. Res. 11, 53\u201356 (2010)","journal-title":"Stat. Res."},{"key":"657_CR9","first-page":"25","volume":"4","author":"Y Wang","year":"2003","unstructured":"Wang, Y.: Quality control of questionnaires. J. Bus. Econ. 4, 25\u201327 (2003)","journal-title":"J. Bus. Econ."},{"key":"657_CR10","first-page":"115","volume":"3","author":"H Cai","year":"2004","unstructured":"Cai, H.: Context and questionnaires. J.Sun Yatsen Univ. 3, 115\u2013128 (2004)","journal-title":"J.Sun Yatsen Univ."},{"key":"657_CR11","doi-asserted-by":"crossref","DOI":"10.1787\/9789264189980-en","volume-title":"The world economy\u2014a millennial perspective","author":"A Maddison","year":"2001","unstructured":"Maddison, A.: The world economy\u2014a millennial perspective. OECD Development Centre, Paris (2001)"},{"key":"657_CR12","doi-asserted-by":"publisher","first-page":"6237","DOI":"10.1166\/jctn.2015.4661","volume":"12","author":"Q Zhou","year":"2015","unstructured":"Zhou, Q., Luo, J.: The risk management using limit theory of statistics on extremes on the big data era. J. Comput. Theor. Nanosci. 12, 6237\u20136243 (2015). doi: 10.1166\/jctn.2015.4661","journal-title":"J. Comput. Theor. Nanosci."},{"issue":"1","key":"657_CR13","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1166\/asl.2012.3166","volume":"5","author":"Q Zhou","year":"2012","unstructured":"Zhou, Q., Luo, J.: Empirical test of efficiency comparison between PPS estimation and simple random sampling. Adv. Sci. Lett. 5(1), 437\u2013440 (2012). doi: 10.1166\/asl.2012.3166","journal-title":"Adv. Sci. Lett."},{"issue":"5","key":"657_CR14","first-page":"327","volume":"30","author":"Q Zhou","year":"2015","unstructured":"Zhou, Q., Luo, J.: Artificial neural network based grid computing of E-government scheduling for emergency management. Comput. Syst. Sci. Eng. 30(5), 327\u2013335 (2015)","journal-title":"Comput. Syst. Sci. Eng."},{"issue":"1","key":"657_CR15","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1109\/TKDE.2013.109","volume":"26","author":"X Wu","year":"2014","unstructured":"Wu, X., Zhu, X., Wu, G.Q., Ding, W.: Data mining with big data. IEEE Trans. Knowl. Data Eng. 26(1), 97\u2013107 (2014). doi: 10.1109\/TKDE.2013.109","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"1","key":"657_CR16","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1109\/TKDE.2013.34","volume":"26","author":"L Rutkowski","year":"2014","unstructured":"Rutkowski, L., Jaworski, M., Pietruczuk, L., Duda, P.: Decision trees for mining data streams based on the gaussian approximation. IEEE Trans. Knowl. Data Eng. 26(1), 108\u2013119 (2014). doi: 10.1109\/TKDE.2013.34","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"1","key":"657_CR17","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1007\/s10586-014-0405-9","volume":"18","author":"L Han","year":"2015","unstructured":"Han, L., Ong, H.Y.: Parallel data intensive applications using MapReduce: a data mining case study in biomedical sciences. Clust. Comput. 18(1), 403\u2013418 (2015). doi: 10.1007\/s10586-014-0405-9","journal-title":"Clust. Comput."}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-016-0657-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10586-016-0657-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-016-0657-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,13]],"date-time":"2019-09-13T19:47:39Z","timestamp":1568404059000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10586-016-0657-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9,24]]},"references-count":17,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2016,12]]}},"alternative-id":["657"],"URL":"https:\/\/doi.org\/10.1007\/s10586-016-0657-7","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,9,24]]}}}