{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T15:54:47Z","timestamp":1778687687183,"version":"3.51.4"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319399362","type":"print"},{"value":"9783319399379","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","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":[[2016]]},"DOI":"10.1007\/978-3-319-39937-9_6","type":"book-chapter","created":{"date-parts":[[2016,5,27]],"date-time":"2016-05-27T09:00:15Z","timestamp":1464339615000},"page":"67-81","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Effectively Updating High Utility Co-location Patterns in Evolving Spatial Databases"],"prefix":"10.1007","author":[{"given":"Xiaoxuan","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lizhen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junli","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lihua","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,5,28]]},"reference":[{"key":"6_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/3-540-60159-7_4","volume-title":"Advances in Spatial Databases","author":"k Koperski","year":"1995","unstructured":"Koperski, k, Han, J.: A two-phase algorithm for fast discovery of high utility itemsets. In: Egenhofer, M., Herring, J.R. (eds.) SSD 1995. LNCS, vol. 951, pp. 47\u201366. Springer, Heidelberg (1995)"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Morimoto, Y.: Mining frequent neighboring class sets in spatial databases. In: 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 353\u2013358. ACM, New York (2001)","DOI":"10.1145\/502512.502564"},{"issue":"12","key":"6_CR3","doi-asserted-by":"publisher","first-page":"1472","DOI":"10.1109\/TKDE.2004.90","volume":"16","author":"Y Huang","year":"2004","unstructured":"Huang, Y., Shekhar, S., Xiong, H.: Discovering co-location patterns from spatial data sets: a general approach. IEEE Trans. Know. Data Eng. (TKDE) 16(12), 1472\u20131485 (2004)","journal-title":"IEEE Trans. Know. Data Eng. (TKDE)"},{"issue":"10","key":"6_CR4","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1109\/TKDE.2006.150","volume":"18","author":"JS Yoo","year":"2006","unstructured":"Yoo, J.S., Shekhar, S.: A join-less approach for co-location pattern mining: a summary of results. IEEE Tran. Knowl. Data Eng. (TKDE) 18(10), 1323\u20131337 (2006)","journal-title":"IEEE Tran. Knowl. Data Eng. (TKDE)"},{"key":"6_CR5","doi-asserted-by":"crossref","unstructured":"Yao, H., Hamilton, H.J., Butz, C.J.: A foundational approach to mining item set utilities from database. In: 4th SIAM International Conference on Data Mining, pp. 215\u2013221(2004)","DOI":"10.1137\/1.9781611972740.51"},{"key":"6_CR6","unstructured":"Yao. H, Hamilton. H.J, and Geng. L.: A unified framework for utility-based measure for mining item sets. In: ACM SIGKDD 2nd Workshop on Utility-Based Data mining, pp. 28\u201327. ACM, New York (2006)"},{"key":"6_CR7","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1007\/11430919_79","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"Y Liu","year":"2005","unstructured":"Liu, Y., Liao, W.-k., Choudhary, A.K.: A two-phase algorithm for fast discovery of high utility itemsets. In: Ho, T.-B., Cheung, D., Liu, H. (eds.) PAKDD 2005. LNCS (LNAI), vol. 3518, pp. 689\u2013695. Springer, Heidelberg (2005)"},{"key":"6_CR8","unstructured":"Yoo, J.S., Vasudevan, H.: Effectively updating co-location patterns in evolving spatial databases. In: 6th International Conferences on Pervasive Patterns and Applications (PATTERNS 2014), pp. 96\u201399 (2014)"},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Yoo, J.S, Boulware, D.: Incremental and parallel spatial association mining. In: IEEE International Conference on Big Data (IEEE BigData 2014), pp. 75\u201376. IEEE Computer Society, New York (2014)","DOI":"10.1109\/BigData.2014.7004499"},{"key":"6_CR10","first-page":"4878","volume":"181","author":"CF Ahmed","year":"2011","unstructured":"Ahmed, C.F., Tanbeer, S.K., Jeong, B.S.: A novel approach for mining high-utility sequential patterns in sequence databases. Electron. Telecommun. Res. Inst. 181, 4878\u20134894 (2011)","journal-title":"Electron. Telecommun. Res. Inst."},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Yin, J., Zheng, Z., Gao, L.: Uspan: an efficient algorithm for mining high utility sequential patterns. In: 18th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 660\u2013668. ACM, New York (2012)","DOI":"10.1145\/2339530.2339636"},{"key":"6_CR12","doi-asserted-by":"crossref","first-page":"4878","DOI":"10.1016\/j.ins.2011.05.012","volume":"181","author":"CF Ahmed","year":"2011","unstructured":"Ahmed, C.F., Tanbeer, S.K., Jeong, B.S., Choi, H.J.: A framework for mining interesting high utility patterns with strong frequency affinity. Inf. Sci. 181, 4878\u20134894 (2011). Elsevier Inc.","journal-title":"Inf. Sci."},{"key":"6_CR13","doi-asserted-by":"crossref","unstructured":"Tseng, V.S., Wu, C.W., Shie, B.E.: UP-growth: an efficient algorithm for high utility itemset mining. In: 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 253\u2013262. ACM, New York (2010)","DOI":"10.1145\/1835804.1835839"},{"issue":"8","key":"6_CR14","doi-asserted-by":"publisher","first-page":"7173","DOI":"10.1016\/j.eswa.2012.01.072","volume":"39","author":"CW Lin","year":"2012","unstructured":"Lin, C.W., Lan, G.C., Hong, T.P.: An incremental mining algorithm for high utility item sets. Expert Syst. Appl. 39(8), 7173\u20137180 (2012)","journal-title":"Expert Syst. Appl."},{"issue":"12","key":"6_CR15","doi-asserted-by":"publisher","first-page":"1708","DOI":"10.1109\/TKDE.2009.46","volume":"21","author":"CF Ahmed","year":"2009","unstructured":"Ahmed, C.F., Tanbeer, S.K., Jeong, B.S.: BS efficient tree structures for high utility pattern mining in incremental databases. IEEE Trans. Knowl. Data Eng. (TKDE) 21(12), 1708\u20131721 (2009)","journal-title":"IEEE Trans. Knowl. Data Eng. (TKDE)"},{"key":"6_CR16","doi-asserted-by":"crossref","unstructured":"Cheung, D., Lee, S.D., Kao, D.: A general incremental technique for maintaining discovered association rules. In: 5th International Conference on Databases Systems for Advanced Applications, pp. 185\u2013194. ACM, New York (1997)","DOI":"10.1142\/9789812819536_0020"},{"key":"6_CR17","unstructured":"Thomas, S., Bodagala, S., Alsabti, K., Ranka, S.: An efficient algorithm for the incremental updation of association rules in large databases. In: ACM International Conference on knowledge Discovery and Data Mining, pp. 263\u2013266. ACM, NewYork (1997)"},{"key":"6_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1007\/3-540-44467-X_50","volume-title":"High Performance Computing - HiPC 2000","author":"S Thomas","year":"2000","unstructured":"Thomas, S., Chakravarthy, S.: Incremental mining of constrained associations. In: Prasanna, V.K., Vajapeyam, S., Valero, M. (eds.) HiPC 2000. LNCS, vol. 1970, pp. 547\u2013558. Springer, Heidelberg (2000)"},{"key":"6_CR19","doi-asserted-by":"crossref","unstructured":"Cheung, D., Han, J., Ng, V., Wong, C.Y.: Maintenance of discovered association rules in large databases: an incremental updating technique. In: IEEE International Conference on Data Engineering, pp. 106\u2013114. IEEE Computer Society, New York (1996)","DOI":"10.1109\/ICDE.1996.492094"},{"key":"6_CR20","doi-asserted-by":"crossref","unstructured":"Ayan, N., Tansel, A., Arkyn, E.: An efficiently algorithm to update large itemsets with early pruning. In: International Conference on Knowledge Discovery and Data Mining, pp. 287\u2013291. ACM, New York (1999)","DOI":"10.1145\/312129.312252"},{"key":"6_CR21","unstructured":"Yang, S., Wang, L.Z., Bao, X.G., Lu, J.L.: A framework for mining spatial high utility co-location patterns. In: 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2015), pp. 631\u2013637 (2015)"},{"key":"6_CR22","doi-asserted-by":"crossref","unstructured":"Lu, J.L., Wang, L.Z., Xiao, Q., Shang, Y.: Incremental mining of co-locations from spatial database. In: 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2015), pp. 612\u2013617 (2015)","DOI":"10.1109\/FSKD.2015.7382013"}],"container-title":["Lecture Notes in Computer Science","Web-Age Information Management"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-39937-9_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T19:45:57Z","timestamp":1748979957000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-39937-9_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319399362","9783319399379"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-39937-9_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"28 May 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WAIM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web-Age Information Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanchang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 June 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"waim2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}