{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T11:11:24Z","timestamp":1757589084871,"version":"3.41.0"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"S3","license":[{"start":{"date-parts":[[2018,1,30]],"date-time":"2018-01-30T00:00:00Z","timestamp":1517270400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572301","61772321"],"award-info":[{"award-number":["61572301","61772321"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Innovation Fundation of Science and Technology Development Center of Ministry of Education and New H3C Group","award":["2017A15047"],"award-info":[{"award-number":["2017A15047"]}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["No. ZR2013FM008","No. ZR2016FP07"],"award-info":[{"award-number":["No. ZR2013FM008","No. ZR2016FP07"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Open Research Fund from Shandong provincial Key Laboratory of Computer Network","award":["SDKLCN-2016-01"],"award-info":[{"award-number":["SDKLCN-2016-01"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1007\/s10586-018-1859-y","type":"journal-article","created":{"date-parts":[[2018,1,30]],"date-time":"2018-01-30T02:48:52Z","timestamp":1517280532000},"page":"6133-6141","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Improved algorithm for parallel mining collaborative frequent itemsets in multiple data streams"],"prefix":"10.1007","volume":"22","author":[{"given":"Fang\u2019ai","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qianqian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,1,30]]},"reference":[{"issue":"2","key":"1859_CR1","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1007\/s10115-015-0830-y","volume":"46","author":"A Gani","year":"2016","unstructured":"Gani, A., Siddiqa, A., Shamshirband, S., et al.: A survey on indexing techniques for big data: taxonomy and performance evaluation. Knowl. Inf. Syst. 46(2), 241\u2013284 (2016)","journal-title":"Knowl. Inf. Syst."},{"issue":"24","key":"1859_CR2","first-page":"3840","volume":"5","author":"S Shamshirb","year":"2010","unstructured":"Shamshirb, S., Kalantari, S., Sam, D.Z., et al.: Expert security system in wireless sensor networks based on fuzzy discussion multi-agent systems. Sci. Res. Essays 5(24), 3840\u20133849 (2010)","journal-title":"Sci. Res. Essays"},{"key":"1859_CR3","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1090\/dimacs\/050\/05","volume":"50","author":"MR Henzinger","year":"1998","unstructured":"Henzinger, M.R., Raghavan, P., Rajagopalan, S.: Computing on data streams. Extern. Mem. Algorithms 50, 107\u2013118 (1998)","journal-title":"Extern. Mem. Algorithms"},{"key":"1859_CR4","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1016\/B978-155860869-6\/50038-X","volume-title":"VLDB '02: Proceedings of the 28th International Conference on Very Large Databases","author":"Gurmeet Singh Manku","year":"2002","unstructured":"Manku, G.S., Motwani, R.: Approximate frequency counts over data streams. In: Proceedings of the 28th International Conference on Very Large Data Bases. VLDB Endowment, pp. 346\u2013357 (2002)"},{"key":"1859_CR5","doi-asserted-by":"crossref","unstructured":"Mozafari, B., Thakkar, H., Zaniolo, C.: Verifying and mining frequent patterns from large windows over data streams. In: IEEE 24th International Conference on: Data Engineering, ICDE 2008. IEEE, pp. 179\u2013188 (2008)","DOI":"10.1109\/ICDE.2008.4497426"},{"issue":"10","key":"1859_CR6","doi-asserted-by":"publisher","first-page":"3569","DOI":"10.5194\/gmd-9-3569-2016","volume":"9","author":"N MacBean","year":"2016","unstructured":"MacBean, N., Peylin, P., Chevallier, F., et al.: Consistent assimilation of multiple data streams in a carbon cycle data assimilation system. Geosci. Model Dev. 9(10), 3569 (2016)","journal-title":"Geosci. Model Dev."},{"key":"1859_CR7","first-page":"008","volume":"8","author":"JIN Che-Qing","year":"2004","unstructured":"Che-Qing, J.I.N., Wei-Ning, Q., Ao-Ying, Z.: Analysis and management of streaming data: a survey. J. Softw. 8, 008 (2004)","journal-title":"J. Softw."},{"issue":"2","key":"1859_CR8","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1145\/170036.170072","volume":"22","author":"Rakesh Agrawal","year":"1993","unstructured":"Agrawal, R., Imieli\u0144ski, T., Swami, A.: Mining association rules between sets of items in large databases. In: ACM sigmod record. ACM, vol. 22(2), pp. 207\u2013216 (1993)","journal-title":"ACM SIGMOD Record"},{"issue":"1","key":"1859_CR9","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1023\/B:DAMI.0000005258.31418.83","volume":"8","author":"J Han","year":"2004","unstructured":"Han, J., Pei, J., Yin, Y., et al.: Mining frequent patterns without candidate generation: a frequent-pattern tree approach. Data Mining Knowl. Discov. 8(1), 53\u201387 (2004)","journal-title":"Data Mining Knowl. Discov."},{"key":"1859_CR10","doi-asserted-by":"crossref","unstructured":"Chaure, TM., Singh, KR.: Frequent itemset mining techniques\u2014a technical review. In: World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave). IEEE, pp. 1\u20134 (2016)","DOI":"10.1109\/STARTUP.2016.7583968"},{"key":"1859_CR11","doi-asserted-by":"crossref","unstructured":"Yu, J.X., Chong, Z., Lu, H., et\u00a0al.: False positive or false negative: mining frequent itemsets from high speed transactional data streams. In: Proceedings of the Thirtieth International Conference on Very Large Data Bases-Vol. 30. VLDB Endowment, pp. 204\u2013215 (2004)","DOI":"10.1016\/B978-012088469-8\/50021-8"},{"issue":"19","key":"1859_CR12","doi-asserted-by":"publisher","first-page":"3268","DOI":"10.1016\/j.ins.2009.06.008","volume":"179","author":"V Hristidis","year":"2009","unstructured":"Hristidis, V., Valdivia, O., Vlachos, M., et al.: Information discovery across multiple streams. Inf. Sci. 179(19), 3268\u20133285 (2009)","journal-title":"Inf. Sci."},{"issue":"10","key":"1859_CR13","doi-asserted-by":"publisher","first-page":"1349","DOI":"10.1109\/TKDE.2007.1071","volume":"19","author":"MY Yeh","year":"2007","unstructured":"Yeh, M.Y., Dai, B.R., Chen, M.S.: Clustering over multiple evolving streams by events and correlations. IEEE Trans. Knowl. Data Eng. 19(10), 1349\u20131362 (2007)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"1859_CR14","doi-asserted-by":"crossref","unstructured":"Guo, J., Zhang, P., Tan, J., et\u00a0al.: Mining frequent patterns across multiple data streams. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management. ACM, pp. 2325\u20132328 (2011)","DOI":"10.1145\/2063576.2063957"},{"issue":"2","key":"1859_CR15","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1145\/777943.777945","volume":"28","author":"D Gunopulos","year":"2003","unstructured":"Gunopulos, D., Khardon, R., Mannila, H., et al.: Discovering all most specific sentences. ACM Trans. Database Syst. (TODS) 28(2), 140\u2013174 (2003)","journal-title":"ACM Trans. Database Syst. (TODS)"},{"key":"1859_CR16","doi-asserted-by":"crossref","unstructured":"Otey, M.E., Wang, C., Parthasarathy, S., et\u00a0al.: Mining frequent itemsets in distributed and dynamic databases. In: Third IEEE International Conference on Data Mining, ICDM 2003. IEEE, pp. 617\u2013620 (2003)","DOI":"10.1109\/ICDM.2003.1250991"},{"issue":"8","key":"1859_CR17","first-page":"2313","volume":"9","author":"Y Xun","year":"2015","unstructured":"Xun, Y., Zhang, J.: A parallel frequent itemsets mining algorithm based on compressed linked list. Icic Express Lett. 9(8), 2313\u20132318 (2015)","journal-title":"Icic Express Lett."},{"issue":"9","key":"1859_CR18","doi-asserted-by":"publisher","first-page":"2008","DOI":"10.1007\/s11432-012-4638-z","volume":"55","author":"ZH Deng","year":"2012","unstructured":"Deng, Z.H., Wang, Z.H., Jiang, J.J.: A new algorithm for fast mining frequent itemsets using N-lists. Sci. China Inf. Sci. 55(9), 2008\u20132030 (2012)","journal-title":"Sci. China Inf. Sci."},{"key":"1859_CR19","doi-asserted-by":"publisher","first-page":"1827","DOI":"10.1016\/j.proeng.2011.08.340","volume":"15","author":"H Yu","year":"2011","unstructured":"Yu, H., Wen, J., Wang, H., et al.: An improved Apriori algorithm based on the Boolean matrix and Hadoop. Procedia Eng. 15, 1827\u20131831 (2011)","journal-title":"Procedia Eng."},{"key":"1859_CR20","doi-asserted-by":"crossref","unstructured":"Li, H., Wang, Y., Zhang, D., et al.: Pfp: parallel fp-growth for query recommendation. In: Proceedings of the 2008 ACM Conference on Recommender Systems. ACM, pp. 107\u2013114 (2008)","DOI":"10.1145\/1454008.1454027"},{"issue":"3","key":"1859_CR21","first-page":"321","volume":"85","author":"ALS Saabith","year":"2016","unstructured":"Saabith, A.L.S., Sundararajan, E., Bakar, A.A.: Parallel implementation of apriori algorithms on the hadoop-mapreduce platform-an evaluation of literature. J. Theor. Appl. Inf. Technol. 85(3), 321 (2016)","journal-title":"J. Theor. Appl. Inf. Technol."},{"issue":"3","key":"1859_CR22","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1007\/s10844-017-0461-8","volume":"50","author":"L\u00e1zaro Bustio-Mart\u00ednez","year":"2017","unstructured":"Bustio-Mart\u00ednez, L., Cumplido, R., Hern\u00e1ndez-Le\u00f3n, R., et al.: On the design of hardware-software architectures for frequent itemsets mining on data streams. J. Intell. Inf. Syst. (2017). https:\/\/doi.org\/10.1007\/s10844-017-0461-8","journal-title":"Journal of Intelligent Information Systems"},{"issue":"3","key":"1859_CR23","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1109\/TSMC.2015.2437327","volume":"46","author":"Y Xun","year":"2016","unstructured":"Xun, Y., Zhang, J., Qin, X.: FiDoop: parallel mining of frequent itemsets MapReduce. IEEE Trans. Sys. Man Cyb. 46(3), 313\u2013325 (2016)","journal-title":"IEEE Trans. Sys. Man Cyb."},{"key":"1859_CR24","first-page":"478","volume-title":"Lecture Notes in Computer Science","author":"Khanh-Chuong Duong","year":"2017","unstructured":"Duong, K.C., Bamha, M., Giacometti, A., et al.: MapFIM: memory aware parallelized frequent itemset mining in very large datasets. In: International Conference on Database and Expert Systems Applications. Springer, Cham, pp. 478\u2013495 (2017)"},{"issue":"1","key":"1859_CR25","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1007\/s10115-012-0561-2","volume":"37","author":"T Bernecker","year":"2013","unstructured":"Bernecker, T., Cheng, R., Cheung, D.W., et al.: Model-based probabilistic frequent itemset mining. Knowl. Inf. Syst. 37(1), 181\u2013217 (2013)","journal-title":"Knowl. Inf. Syst."},{"issue":"3","key":"1859_CR26","first-page":"571","volume":"36","author":"S Wang","year":"2013","unstructured":"Wang, S., Wang, G.R.: Frequent items query algorithm for uncertain sensing data. Jisuanji Xuebao (Chin. J. Comput.) 36(3), 571\u2013581 (2013)","journal-title":"Jisuanji Xuebao (Chin. J. Comput.)"},{"issue":"2","key":"1859_CR27","doi-asserted-by":"publisher","first-page":"1466","DOI":"10.1016\/j.eswa.2007.11.061","volume":"36","author":"HF Li","year":"2009","unstructured":"Li, H.F., Lee, S.Y.: Mining frequent itemsets over data streams using efficient window sliding techniques. Expert Syst. Appl. 36(2), 1466\u20131477 (2009)","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"1859_CR28","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1145\/1327452.1327492","volume":"51","author":"J Dean","year":"2008","unstructured":"Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. Commun. ACM 51(1), 107\u2013113 (2008)","journal-title":"Commun. ACM"},{"key":"1859_CR29","unstructured":"Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proceedings of the 20th International Conference very Large Data bases, VLDB, vol. 1215, pp. 487\u2013499 (1994)"},{"issue":"2","key":"1859_CR30","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1109\/MNET.2016.7437025","volume":"30","author":"E Baccarelli","year":"2016","unstructured":"Baccarelli, E., Cordeschi, N., Mei, A., et al.: Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study. IEEE Netw. 30(2), 54\u201361 (2016)","journal-title":"IEEE Netw."},{"issue":"3","key":"1859_CR31","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1016\/j.jpdc.2012.09.007","volume":"73","author":"G Wu","year":"2013","unstructured":"Wu, G., Zhang, H., Qiu, M., et al.: A decentralized approach for mining event correlations in distributed system monitoring. J. Parallel Distrib. Comput. 73(3), 330\u2013340 (2013)","journal-title":"J. Parallel Distrib. Comput."}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10586-018-1859-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-018-1859-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-018-1859-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T03:45:04Z","timestamp":1751255104000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10586-018-1859-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,30]]},"references-count":31,"journal-issue":{"issue":"S3","published-print":{"date-parts":[[2019,5]]}},"alternative-id":["1859"],"URL":"https:\/\/doi.org\/10.1007\/s10586-018-1859-y","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"type":"print","value":"1386-7857"},{"type":"electronic","value":"1573-7543"}],"subject":[],"published":{"date-parts":[[2018,1,30]]},"assertion":[{"value":"27 October 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 January 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 January 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 January 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}