{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T21:59:14Z","timestamp":1725487154600},"publisher-location":"Berlin, Heidelberg","reference-count":3,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540419105"},{"type":"electronic","value":"9783540453574"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2001]]},"DOI":"10.1007\/3-540-45357-1_55","type":"book-chapter","created":{"date-parts":[[2007,7,16]],"date-time":"2007-07-16T15:49:49Z","timestamp":1184600989000},"page":"519-524","source":"Crossref","is-referenced-by-count":0,"title":["A Hybrid Approach to Clustering in Very Large Databases"],"prefix":"10.1007","author":[{"given":"Aoying","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Weining","family":"Qian","sequence":"additional","affiliation":[]},{"given":"Hailei","family":"Qian","sequence":"additional","affiliation":[]},{"given":"Jin","family":"Wen","sequence":"additional","affiliation":[]},{"given":"Shuigeng","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Ye","family":"Fan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2001,4,11]]},"reference":[{"key":"55_CR1","doi-asserted-by":"crossref","unstructured":"S. Guha, R. Rastogi and K Shim, CURE: An Efficient Clustering Algorithm for Large Databases, In Proc. of ACM SIGMOD\u201998 Conf., 1998.","DOI":"10.1145\/276304.276312"},{"key":"55_CR2","unstructured":"M. Ester, H-P. Kriegel, J. Sander, and X. Xu, A Density-Based Algorithm for Discovering Clusters in Large Spatial Database with Noise. In Proc. of the 2 nd Int\u2019l Conf. on KDD, 1996."},{"key":"55_CR3","unstructured":"W. Wang, J. Yang, and R. Muntz. STING: A Statistical Information Grid Approach to Spatial Data Mining. In Proc. of the 23 rd Int\u2019l Conf. on VLDB, 1997."}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-45357-1_55","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T03:07:55Z","timestamp":1556680075000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-45357-1_55"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001]]},"ISBN":["9783540419105","9783540453574"],"references-count":3,"URL":"https:\/\/doi.org\/10.1007\/3-540-45357-1_55","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2001]]}}}