{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T13:39:35Z","timestamp":1725889175342},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319600413"},{"type":"electronic","value":"9783319600420"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-60042-0_25","type":"book-chapter","created":{"date-parts":[[2017,6,3]],"date-time":"2017-06-03T04:32:44Z","timestamp":1496464364000},"page":"221-226","source":"Crossref","is-referenced-by-count":0,"title":["Co-location Rules Discovery Process Focused on Reference Spatial Features Using Decision Tree Learning"],"prefix":"10.1007","author":[{"given":"Giovanni Dai\u00e1n","family":"Rottoli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hern\u00e1n","family":"Merlino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ram\u00f3n","family":"Garc\u00eda-Martinez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,6,4]]},"reference":[{"key":"25_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1007\/3-540-47724-1_13","volume-title":"Advances in Spatial and Temporal Databases","author":"S Shekhar","year":"2001","unstructured":"Shekhar, S., Huang, Y.: Discovering spatial co-location patterns: a summary of results. In: Jensen, C.S., Schneider, M., Seeger, B., Tsotras, V.J. (eds.) SSTD 2001. LNCS, vol. 2121, pp. 236\u2013256. Springer, Heidelberg (2001). doi: 10.1007\/3-540-47724-1_13"},{"key":"25_CR2","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1016\/j.eswa.2015.10.010","volume":"46","author":"W Yu","year":"2016","unstructured":"Yu, W.: Spatial co-location pattern mining for location-based services in road networks. Expert Syst. Appl. 46, 324\u2013335 (2016)","journal-title":"Expert Syst. Appl."},{"key":"25_CR3","unstructured":"Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proceedings of the 20th International Conference on Very Large Data Bases, VLDB, vol. 1215, pp. 487\u2013499 (1994)"},{"issue":"3","key":"25_CR4","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1002\/widm.25","volume":"1","author":"S Shekhar","year":"2011","unstructured":"Shekhar, S., Evans, M.R., Kang, J.M., Mohan, P.: Identifying patterns in spatial information: a survey of methods. Wiley Interdisc. Rev. Data Min. Knowl. Discov. 1(3), 193\u2013214 (2011)","journal-title":"Wiley Interdisc. Rev. Data Min. Knowl. Discov."},{"issue":"1","key":"25_CR5","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1007\/s11042-012-1007-2","volume":"71","author":"SK Kim","year":"2014","unstructured":"Kim, S.K., Lee, J.H., Ryu, K.H., Kim, U.: A framework of spatial co-location pattern mining for ubiquitous GIS. Multimedia Tools Appl. 71(1), 199\u2013218 (2014)","journal-title":"Multimedia Tools Appl."},{"key":"25_CR6","doi-asserted-by":"crossref","unstructured":"Xiong, H., Shekhar, S., Huang, Y., Kumar, V., Ma, X., Yoo, J.S.: A framework for discovering co-location patterns in data sets with extended spatial objects. In: SDM, pp. 78\u201389 (2004)","DOI":"10.1137\/1.9781611972740.8"},{"key":"25_CR7","doi-asserted-by":"crossref","unstructured":"Huang, Y., Xiong, H., Shekhar, S., Pei, J.: Mining confident co-location rules without a support threshold. In: Proceedings of the 2003 ACM Symposium on Applied Computing, pp. 497\u2013501. ACM (2003)","DOI":"10.1145\/952532.952630"},{"issue":"3","key":"25_CR8","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1007\/s10707-006-9827-8","volume":"10","author":"Y Huang","year":"2006","unstructured":"Huang, Y., Pei, J., Xiong, H.: Mining co-location patterns with rare events from spatial data sets. Geoinformatica 10(3), 239\u2013260 (2006)","journal-title":"Geoinformatica"},{"issue":"10","key":"25_CR9","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1109\/TKDE.2006.150","volume":"18","author":"JS Yoo","year":"2006","unstructured":"Yoo, J.S., Shekhar, S.: A joinless approach for mining spatial colocation patterns. IEEE Trans. Knowl. Data Eng. 18(10), 1323\u20131337 (2006)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"25_CR10","doi-asserted-by":"crossref","unstructured":"Celik, M., Kang, J.M., Shekhar, S.: Zonal co-location pattern discovery with dynamic parameters. In: Seventh IEEE International Conference on Data Mining 2007, ICDM 2007, pp. 433\u2013438. IEEE (2007)","DOI":"10.1109\/ICDM.2007.102"},{"key":"25_CR11","doi-asserted-by":"crossref","unstructured":"Eick, C.F., Parmar, R., Ding, W., Stepinski, T.F., Nicot, J.P.: Finding regional co-location patterns for sets of continuous variables in spatial datasets. In: Proceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, p. 30. ACM (2008)","DOI":"10.1145\/1463434.1463472"},{"key":"25_CR12","doi-asserted-by":"crossref","unstructured":"Adilmagambetov, A., Zaiane, O.R., Osornio-Vargas, A.: Discovering co-location patterns in datasets with extended spatial objects. In: Data Warehousing and Knowledge Discovery, pp. 84\u201396. Springer, Heidelberg (2013)","DOI":"10.1007\/978-3-642-40131-2_8"},{"key":"25_CR13","doi-asserted-by":"crossref","unstructured":"Venkatesan, M., Thangavelu, A., Prabhavathy, P.: Event centric modeling approach in colocation pattern analysis from spatial data. arXiv preprint arXiv:1109.1144 (2011)","DOI":"10.5121\/ijdms.2011.3311"},{"key":"25_CR14","unstructured":"Yoo, J.S., Shekhar, S., Celik, M.: A join-less approach for co-location pattern mining: a summary of results. In: Fifth IEEE International Conference on Data Mining, pp. 813\u2013816. IEEE (2005)"},{"key":"25_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1007\/978-3-642-38577-3_41","volume-title":"Recent Trends in Applied Artificial Intelligence","author":"R Garc\u00eda-Mart\u00ednez","year":"2013","unstructured":"Garc\u00eda-Mart\u00ednez, R., Britos, P., Rodr\u00edguez, D.: Information mining processes based on intelligent systems. In: Ali, M., Bosse, T., Hindriks, K.V., Hoogendoorn, M., Jonker, C.M., Treur, J. (eds.) IEA\/AIE 2013. LNCS, vol. 7906, pp. 402\u2013410. Springer, Heidelberg (2013). doi: 10.1007\/978-3-642-38577-3_41"},{"key":"25_CR16","doi-asserted-by":"crossref","unstructured":"Martins, S., Pesado, P., Garc\u00eda-Mart\u00ednez, R.: Intelligent systems in modeling phase of information mining development process. In: Fujita, H., Ali, M., Selamat, A., Sasaki, J., Kurematsu, M. (eds.) IEA\/AIE 2016. LNCS, vol. 9799, pp. 3\u201315. Springer, Cham (2016)","DOI":"10.1007\/978-3-319-42007-3_1"},{"key":"25_CR17","unstructured":"Silver, B.: BPMN Method and Style, with BPMN Implementer\u2019s Guide: A Structured Approach for Business Process Modeling and Implementation Using BPMN 2.0, p. 450. Cody-Cassidy Press, Aptos (2011)"},{"key":"25_CR18","unstructured":"Quinlan, J.R.: C4.5: programs for machine learning (1993)"},{"issue":"8","key":"25_CR19","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1109\/34.709601","volume":"20","author":"TK Ho","year":"1998","unstructured":"Ho, T.K.: The random subspace method for constructing decision forests. IEEE Trans. Pattern Anal. Mach. Intell. 20(8), 832\u2013844 (1998)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"25_CR20","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.tcs.2006.06.015","volume":"363","author":"E Tomita","year":"2006","unstructured":"Tomita, E., Tanaka, A., Takahashi, H.: The worst-case time complexity for generating all maximal cliques and computational experiments. Theoret. Comput. Sci. 363(1), 28\u201342 (2006)","journal-title":"Theoret. Comput. Sci."},{"key":"25_CR21","unstructured":"Rakotomalala, R.: TANAGRA: a free software for research and academic purposes. In: Proceedings of EGC, vol. 2, pp. 697\u2013702 (2005)"},{"issue":"6","key":"25_CR22","doi-asserted-by":"crossref","first-page":"80","DOI":"10.2307\/3001968","volume":"1","author":"F Wilcoxon","year":"1945","unstructured":"Wilcoxon, F.: Individual comparisons by ranking methods. Biometrics Bull. 1(6), 80\u201383 (1945)","journal-title":"Biometrics Bull."}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence: From Theory to Practice"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-60042-0_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,25]],"date-time":"2019-09-25T11:15:31Z","timestamp":1569410131000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-60042-0_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319600413","9783319600420"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-60042-0_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}