{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T05:33:49Z","timestamp":1725687229571},"publisher-location":"Berlin, Heidelberg","reference-count":26,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642259258"},{"type":"electronic","value":"9783642259265"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-25926-5_5","type":"book-chapter","created":{"date-parts":[[2012,6,5]],"date-time":"2012-06-05T14:20:52Z","timestamp":1338906052000},"page":"49-62","source":"Crossref","is-referenced-by-count":0,"title":["An Approach to Discovering Spatial\u2013Temporal Patterns in Geographical Processes"],"prefix":"10.1007","author":[{"given":"Siyue","family":"Chai","sequence":"first","affiliation":[]},{"given":"Fenzhen","family":"Su","sequence":"additional","affiliation":[]},{"given":"Weiling","family":"Ma","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,3,6]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Agrawal R, Srikant R (1995) Mining sequential patterns. In: Proceedings of the 11th international conference on data engineering (ICDE\u201995), IEEE Computer Society, Taipei, pp 3\u201314","DOI":"10.1109\/ICDE.1995.380415"},{"issue":"2","key":"5_CR2","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1145\/170036.170072","volume":"22","author":"R Agrawal","year":"1993","unstructured":"Agrawal R, Imielinski T, Swami A (1993) Mining association rules between sets of items in large databases. ACM SIGMOD Rec 22(2):207\u2013216","journal-title":"ACM SIGMOD Rec"},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"Appice A, Buono P (2005) Analyzing multi-level spatial association rules through a graph-based visualization. In: Ali M, Esposito F (eds) Innovations in applied arepsicial intelligence, vol 3533. Springer, Heidelberg, pp 448\u2013458","DOI":"10.1007\/11504894_63"},{"issue":"1","key":"5_CR4","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/s10844-008-0076-1","volume":"33","author":"R Bembenik","year":"2009","unstructured":"Bembenik R, Rybi\u0144ski H (2009) FARICS: a method of mining spatial association rules and collocations using clustering and Delaunay diagrams. J Intell Info Syst 33(1):41\u201364","journal-title":"J Intell Info Syst"},{"issue":"1\u20132","key":"5_CR5","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.epsl.2006.10.017","volume":"253","author":"JM Brijker","year":"2007","unstructured":"Brijker JM, Jung SJA et al (2007) ENSO related decadal scale climate variability from the Indo-Pacific warm pool. Earth Planet Sci Lett 253(1\u20132):67\u201382","journal-title":"Earth Planet Sci Lett"},{"issue":"1","key":"5_CR6","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.gloplacha.2008.06.001","volume":"63","author":"X Cheng","year":"2008","unstructured":"Cheng X, Qi Y et al (2008) Trends of sea level variations in the Indo-Pacific warm pool. Global Planet Change 63(1):57\u201366","journal-title":"Global Planet Change"},{"key":"5_CR7","volume-title":"Pr\u00e9cis d\u2019analyse d\u2019 images","author":"M Coster","year":"1985","unstructured":"Coster M, Chermant JL (1985) Pr\u00e9cis d\u2019analyse d\u2019 images. Editions du CNRS, Paris"},{"issue":"2\u20134","key":"5_CR8","first-page":"346","volume":"70","author":"DB Enfield","year":"2005","unstructured":"Enfield DB, Lee S-K et al (2005) How are large western hemisphere warm pools formed? Prog Oceanography 70(2\u20134):346\u2013365","journal-title":"Prog Oceanography"},{"issue":"3","key":"5_CR9","first-page":"477","volume":"25","author":"SU Fen-zhen","year":"2006","unstructured":"Fen-zhen SU, Cheng-hu ZHOU (2006) A framework for Process Geographical Information System. Geogr Res 25(3):477\u2013483","journal-title":"Geogr Res"},{"key":"5_CR10","unstructured":"Han J, Fu Y (1995) Discovery of multiple-level association rules from large databases. In: Dayal U, Gray PMD, Nishio S (eds) Proceedings of 21st international conference on very large data bases (VLDB\u201995), Morgan Kaufmann, Zurich, pp 420\u2013431"},{"issue":"1\u20132","key":"5_CR11","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.eswa.2007.06.007","volume":"35","author":"Y-P Huang","year":"2008","unstructured":"Huang Y-P, Kao L-J et al (2008) Efficient mining of salinity and temperature association rules from ARGO data. Expert Syst Appl 35(1\u20132):59\u201368","journal-title":"Expert Syst Appl"},{"issue":"3","key":"5_CR12","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/j.compind.2003.10.006","volume":"53","author":"S-Y Hwang","year":"2004","unstructured":"Hwang S-Y, Wei C-P et al (2004) Discovery of temporal patterns from process instances. Comput Ind 53(3):345\u2013364","journal-title":"Comput Ind"},{"issue":"2","key":"5_CR13","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/3-540-45372-5_2","volume":"73","author":"A Inokuchi","year":"2000","unstructured":"Inokuchi A, Washio T et al. (2000) An apriori algorithm for mining frequent substructures from graph data. Principles of Data Mining and Knowledge Discovery 73(2):13\u201328","journal-title":"Principles of Data Mining and Knowledge Discovery"},{"issue":"6","key":"5_CR14","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1016\/j.ins.2009.08.026","volume":"180","author":"X Kong","year":"2010","unstructured":"Kong X, Wei Q et al. (2010) An approach to discovering multi-temporal patterns and its application to financial databases. Information Sciences 180(6):873\u2013885","journal-title":"Information Sciences"},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"Koperski K, Han J (1995) Discovery of spatial association rules in geographic information databases. In: Proceedings of the 4th international symposium on advances in spatial databases (SSD\u201995), Springer, Berlin, pp 47\u201366","DOI":"10.1007\/3-540-60159-7_4"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"Kuramochi M, Karypis G (2001) Frequent subgraph discovery. In: Proceedings of the IEEE international conference on data mining (ICDM\u201901), San Jose, pp 313\u2013320","DOI":"10.1109\/ICDM.2001.989534"},{"issue":"13","key":"5_CR17","doi-asserted-by":"publisher","first-page":"2218","DOI":"10.1016\/j.ins.2009.02.016","volume":"179","author":"AJT Lee","year":"2009","unstructured":"Lee AJT, Chen Y-A et al (2009) Mining frequent trajectory patterns in spatial\u2013temporal databases. Info Sci 179(13):2218\u20132231","journal-title":"Info Sci"},{"key":"5_CR18","doi-asserted-by":"publisher","first-page":"1385","DOI":"10.1126\/science.250.4986.1385","volume":"250","author":"MJ McPhaden","year":"1990","unstructured":"McPhaden MJ, Picaut J (1990) El Ni\u00f1-Southern Oscillation displacements of the western equatorial Pacific warm pool. Science 250:1385\u20131388","journal-title":"Science"},{"key":"5_CR19","unstructured":"Pei J, Han J, Mortazavi-Asl B, Chen Q, Dayal U, Hsu MC (2001) PrefixSpan: mining sequential patterns efficiently by prefix-projected pattern growth. In: Proceedings of the 2001 international conference on extending database technology: advances in database technology, Heidelberg, pp 215\u2013224"},{"issue":"01","key":"5_CR20","first-page":"31","volume":"38","author":"Z Qilong","year":"1997","unstructured":"Qilong Z, Xuechuan W (1997) Analysis of some oceangraphic characteristics of the tropical western pacific warm pool. Studia Marina Sin 38(01):31\u201338. El Ni\u00f1o-Southern Oscillation, \n                    http:\/\/en.wikipedia.org\/","journal-title":"Studia Marina Sin"},{"key":"5_CR21","doi-asserted-by":"crossref","unstructured":"Shekhar S, Huang Y (2001) Discovering spatial co-location patterns: a summary of results. In: Jensen CS, Schneider M, Seeger VJ, Tsotras B (eds) Proceedings of the 7th international symposium on the advances in spatial and temporal databases. LNCS, vol 2121. Springer, Berlin\/Heidelberg\/New York, pp 236\u2013256","DOI":"10.1007\/3-540-47724-1_13"},{"key":"5_CR22","first-page":"235","volume-title":"Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change","author":"KE Trenberth","year":"2007","unstructured":"Trenberth KE, Jones PD et al (2007) Observations: surface and atmospheric climate change. In: Qin SD, Manning M et al (eds) Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, UK, pp 235\u2013336"},{"issue":"1","key":"5_CR23","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/s10618-007-0079-5","volume":"16","author":"F Verhein","year":"2008","unstructured":"Verhein F, Chawla S (2008) Mining spatio-temporal patterns in object mobility databases. Data Min Knowl Discov 16(1):5\u201338","journal-title":"Data Min Knowl Discov"},{"issue":"6","key":"5_CR24","first-page":"511","volume":"53","author":"LKZCS Wanying","year":"1998","unstructured":"Wanying LKZCS (1998) Basic features of the warm pool in the western pacific and its impact on climate. Acta Geogr Sin 53(6):511\u2013519","journal-title":"Acta Geogr Sin"},{"issue":"1","key":"5_CR25","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.datak.2006.10.009","volume":"63","author":"E Winarko","year":"2007","unstructured":"Winarko E, Roddick JF (2007) ARMADA \u2013 an algorithm for discovering richer relative temporal association rules from interval-based data. Data Knowl Eng 63(1):76\u201390","journal-title":"Data Knowl Eng"},{"issue":"1","key":"5_CR26","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1023\/A:1007652502315","volume":"42","author":"MJ Zaki","year":"2001","unstructured":"Zaki MJ (2001) SPADE: an efficient algorithm for mining frequent sequences. Mach Learn 42(1):31\u201360","journal-title":"Mach Learn"}],"container-title":["Lecture Notes in Geoinformation and Cartography","Advances in Spatial Data Handling and GIS"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-25926-5_5.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T07:35:43Z","timestamp":1620027343000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-25926-5_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642259258","9783642259265"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-25926-5_5","relation":{},"ISSN":["1863-2246","1863-2351"],"issn-type":[{"type":"print","value":"1863-2246"},{"type":"electronic","value":"1863-2351"}],"subject":[],"published":{"date-parts":[[2012]]}}}