{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T15:41:09Z","timestamp":1726069269487},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811533792"},{"type":"electronic","value":"9789811533808"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-15-3380-8_10","type":"book-chapter","created":{"date-parts":[[2020,3,2]],"date-time":"2020-03-02T19:04:40Z","timestamp":1583175880000},"page":"109-120","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Association Rules Extraction Method for Semantic Query Processing Over Medical Big Data"],"prefix":"10.1007","author":[{"given":"Ling","family":"Wang","sequence":"first","affiliation":[]},{"given":"Jian","family":"Li","sequence":"additional","affiliation":[]},{"given":"Tie Hua","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Wen Qiang","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,3,3]]},"reference":[{"key":"10_CR1","doi-asserted-by":"crossref","unstructured":"Dong, X.L., Srivastava, D.: Big data integration. In: 2013 IEEE 29th International Conference on Data Engineering (ICDE), pp. 1245\u20131248. IEEE (2013)","DOI":"10.1109\/ICDE.2013.6544914"},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"Eldawy, A., Mokbel, M.F.: The era of big spatial data. In: 2015 31st IEEE International Conference on Data Engineering Workshops, pp. 42\u201349. IEEE (2015)","DOI":"10.1109\/ICDEW.2015.7129542"},{"issue":"1","key":"10_CR3","first-page":"15","volume":"37","author":"A Bifet","year":"2013","unstructured":"Bifet, A.: Mining big data in real time. Informatica 37(1), 15\u201320 (2013)","journal-title":"Informatica"},{"issue":"12","key":"10_CR4","doi-asserted-by":"publisher","first-page":"1179","DOI":"10.14778\/2732977.2732991","volume":"7","author":"S Song","year":"2014","unstructured":"Song, S., Chen, L., Cheng, H.: On concise set of relative candidate keys. Proc. VLDB Endow. 7(12), 1179\u20131190 (2014)","journal-title":"Proc. VLDB Endow."},{"issue":"13","key":"10_CR5","doi-asserted-by":"publisher","first-page":"1465","DOI":"10.14778\/3007263.3007285","volume":"9","author":"T Milo","year":"2016","unstructured":"Milo, T., Novgorodov, S., Tan, W.C.: Rudolf: interactive rule refinement system for fraud detection. Proc. VLDB Endow. 9(13), 1465\u20131468 (2016)","journal-title":"Proc. VLDB Endow."},{"key":"10_CR6","unstructured":"Ji, X.: Social data integration and analytics for health intelligence. In: Proceedings VLDB PhD Workshop (2014). http:\/\/www.vldb.org\/2014\/phd_workshop.proceedings_files\/Camera-Ready%20Papers\/Paper%201285\/p1285-Ji.pdf"},{"issue":"12","key":"10_CR7","doi-asserted-by":"publisher","first-page":"1502","DOI":"10.14778\/2824032.2824048","volume":"8","author":"W Fan","year":"2015","unstructured":"Fan, W., Wang, X., Wu, Y., Xu, J.: Association rules with graph patterns. Proc. VLDB Endow. 8(12), 1502\u20131513 (2015)","journal-title":"Proc. VLDB Endow."},{"issue":"3","key":"10_CR8","doi-asserted-by":"publisher","first-page":"193","DOI":"10.14778\/2535569.2448953","volume":"6","author":"X Lin","year":"2013","unstructured":"Lin, X., Mukherji, A., Rundensteiner, E.A., Ruiz, C., Ward, M.O.: PARAS: a parameter space framework for online association mining. Proc. VLDB Endow. 6(3), 193\u2013204 (2013)","journal-title":"Proc. VLDB Endow."},{"issue":"4","key":"10_CR9","doi-asserted-by":"publisher","first-page":"336","DOI":"10.14778\/2856318.2856328","volume":"9","author":"Z Abedjan","year":"2015","unstructured":"Abedjan, Z., Akcora, C.G., Ouzzani, M., Papotti, P., Stonebraker, M.: Temporal rules discovery for web data cleaning. Proc. VLDB Endow. 9(4), 336\u2013347 (2015)","journal-title":"Proc. VLDB Endow."},{"issue":"1","key":"10_CR10","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/s10115-013-0707-x","volume":"42","author":"R Moskovitch","year":"2015","unstructured":"Moskovitch, R., Shahar, Y.: Fast time intervals mining using the transitivity of temporal relations. Knowl. Inf. Syst. 42(1), 21\u201348 (2015)","journal-title":"Knowl. Inf. Syst."},{"issue":"4","key":"10_CR11","doi-asserted-by":"publisher","first-page":"106","DOI":"10.3390\/sym10040106","volume":"10","author":"M Abdel-Basset","year":"2018","unstructured":"Abdel-Basset, M., Mohamed, M., Smarandache, F., Chang, V.: Neutrosophic association rule mining algorithm for big data analysis. Symmetry 10(4), 106 (2018)","journal-title":"Symmetry"},{"key":"10_CR12","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.jclinepi.2015.10.002","volume":"71","author":"F Bagherzadeh-Khiabani","year":"2016","unstructured":"Bagherzadeh-Khiabani, F., Ramezankhani, A., Azizi, F., Hadaegh, F., Steyerberg, E.W., Kjalili, D.: A tutorial on variable selection for clinical prediction models: feature selection methods in data mining could improve the results. J. Clin. Epidemiol. 71, 76\u201385 (2016)","journal-title":"J. Clin. Epidemiol."},{"issue":"5","key":"10_CR13","doi-asserted-by":"publisher","first-page":"289","DOI":"10.14778\/2535573.2488336","volume":"6","author":"S Tu","year":"2013","unstructured":"Tu, S., Kaashoek, M.F., Madden, S., Zeldovich, N.: Processing analytical queries over encrypted data. Proc. VLDB Endow. 6(5), 289\u2013300 (2013)","journal-title":"Proc. VLDB Endow."},{"issue":"7","key":"10_CR14","doi-asserted-by":"publisher","first-page":"721","DOI":"10.14778\/3067421.3067422","volume":"10","author":"J Szlichta","year":"2017","unstructured":"Szlichta, J., Godfrey, P., Golab, L., Kargar, M., Srivastava, D.: Effective and complete discovery of order dependencies via set-based axiomatization. Proc. VLDB Endow. 10(7), 721\u2013732 (2017)","journal-title":"Proc. VLDB Endow."},{"issue":"11","key":"10_CR15","doi-asserted-by":"publisher","first-page":"1166","DOI":"10.14778\/2536222.2536242","volume":"6","author":"I Bedini","year":"2013","unstructured":"Bedini, I., Elser, B., Velegrakis, Y.: The Trento big data platform for public administration and large companies: use cases and opportunities. Proc. VLDB Endow. 6(11), 1166\u20131167 (2013)","journal-title":"Proc. VLDB Endow."},{"issue":"12","key":"10_CR16","doi-asserted-by":"publisher","first-page":"1222","DOI":"10.14778\/2536274.2536281","volume":"6","author":"S Bergamaschi","year":"2013","unstructured":"Bergamaschi, S., Guerra, F., Interlandi, M., Trillo-Lado, R., Velegrakis, Y.: QUEST: a keyword search system for relational data based on semantic and machine learning techniques. Proce. VLDB Endow. 6(12), 1222\u20131225 (2013)","journal-title":"Proce. VLDB Endow."},{"issue":"1","key":"10_CR17","doi-asserted-by":"publisher","first-page":"57","DOI":"10.14778\/3275536.3275541","volume":"12","author":"J Yang","year":"2018","unstructured":"Yang, J., Fan, J., Wei, Z., Li, G., Liu, T., Du, X.: Cost-effective data annotation using game-based crowdsourcing. Proc. VLDB Endow. 12(1), 57\u201370 (2018)","journal-title":"Proc. VLDB Endow."},{"key":"10_CR18","first-page":"6","volume":"2015","author":"Y Zeng","year":"2015","unstructured":"Zeng, Y., Yin, S., Liu, J., Zhang, M.: Research of improved FP-Growth algorithm in association rules mining. Sci. Program. 2015, 6 (2015)","journal-title":"Sci. Program."},{"key":"10_CR19","doi-asserted-by":"publisher","first-page":"7401","DOI":"10.1007\/s10586-017-1576-y","volume":"22","author":"W Feng","year":"2018","unstructured":"Feng, W., Zhu, Q., Zhuang, J., Yu, S.: An expert recommendation algorithm based on Pearson correlation coefficient and FP-growth. Cluster Comput. 22, 7401\u20137412 (2018)","journal-title":"Cluster Comput."},{"key":"10_CR20","doi-asserted-by":"crossref","unstructured":"Chang, H.Y., Lin, J.C., Cheng, M.L., Huang, S.C.: A novel incremental data mining algorithm based on FP-growth for big data. In: 2016 International Conference on Networking and Network Applications (NaNA), pp. 375\u2013378. IEEE (2016)","DOI":"10.1109\/NaNA.2016.77"},{"key":"10_CR21","doi-asserted-by":"crossref","unstructured":"Wang, C.H., Zheng, L., Yu, X., Zheng, X.: Using fuzzy FP-growth for mining association rules. In: 2017 International Conference on Organizational Innovation (ICOI 2017). Atlantis Press (2017)","DOI":"10.2991\/icoi-17.2017.47"}],"container-title":["Communications in Computer and Information Science","Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-3380-8_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,2]],"date-time":"2020-03-02T19:06:12Z","timestamp":1583175972000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-3380-8_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811533792","9789811533808"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-3380-8_10","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"3 March 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Phuket","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 March 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 March 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}