{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T11:41:46Z","timestamp":1725536506018},"publisher-location":"Berlin, Heidelberg","reference-count":6,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642033476"},{"type":"electronic","value":"9783642033483"}],"license":[{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"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":[[2009]]},"DOI":"10.1007\/978-3-642-03348-3_30","type":"book-chapter","created":{"date-parts":[[2009,8,8]],"date-time":"2009-08-08T01:01:20Z","timestamp":1249693280000},"page":"302-313","source":"Crossref","is-referenced-by-count":3,"title":["GOD-CS: A New Grid-Oriented Dissection Clustering Scheme for Large Databases"],"prefix":"10.1007","author":[{"given":"Cheng-Fa","family":"Tsai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chien-Sheng","family":"Chiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"30_CR1","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1007\/978-3-540-68125-0_71","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"C.F. Tsai","year":"2008","unstructured":"Tsai, C.F., Yen, C.C.: G-TREACLE: A New Grid-Based and Tree-Alike Pattern Clustering Technique for Large Databases. In: Washio, T., Suzuki, E., Ting, K.M., Inokuchi, A. (eds.) PAKDD 2008. LNCS (LNAI), vol.\u00a05012, pp. 739\u2013748. Springer, Heidelberg (2008)"},{"key":"30_CR2","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"817","DOI":"10.1007\/978-3-540-71701-0_90","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"C.F. Tsai","year":"2007","unstructured":"Tsai, C.F., Yen, C.C.: ANGEL: A New Effective and Efficient Hybrid Clustering Technique for Large Databases. In: Zhou, Z.-H., Li, H., Yang, Q. (eds.) PAKDD 2007. LNCS (LNAI), vol.\u00a04426, pp. 817\u2013824. Springer, Heidelberg (2007)"},{"key":"30_CR3","unstructured":"Wang, T.P., Tsai, C.F.: GDH: An Effective and Efficient Approach to Detect Arbitrary Patterns in Clusters with Noises in Very Large Databases. In: Degree of master at Pingtung University of Science and Technology, Taiwan (2006)"},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Borah, B., Bhattacharyya, D.K.: An Improved Sampling-Based DBSCAN for Large Spatial Databases. In: Proceedings of International Conference on Intelligent Sensing and Information, pp. 92\u201396 (2004)","DOI":"10.1109\/ICISIP.2004.1287631"},{"key":"30_CR5","unstructured":"Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A Density-Based Algorithm for Discovering Clustering in Large Spatial Databases with Noise. In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, pp. 226\u2013231 (1996)"},{"key":"30_CR6","unstructured":"McQueen, J.B.: Some Methods of Classification and Analysis of Multivariate Observations. In: Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, pp. 281\u2013297 (1967)"}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-03348-3_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,9]],"date-time":"2019-03-09T04:34:53Z","timestamp":1552106093000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-03348-3_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642033476","9783642033483"],"references-count":6,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-03348-3_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2009]]}}}