{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T04:46:13Z","timestamp":1725597973557},"publisher-location":"Berlin, Heidelberg","reference-count":11,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642227080"},{"type":"electronic","value":"9783642227097"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"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":[[2011]]},"DOI":"10.1007\/978-3-642-22709-7_63","type":"book-chapter","created":{"date-parts":[[2011,7,25]],"date-time":"2011-07-25T16:13:09Z","timestamp":1311610389000},"page":"649-660","source":"Crossref","is-referenced-by-count":1,"title":["UDSCA: Uniform Distribution Based Spatial Clustering Algorithm"],"prefix":"10.1007","author":[{"given":"Animesh","family":"Tripathy","sequence":"first","affiliation":[]},{"given":"Sumit Kumar","family":"Maji","sequence":"additional","affiliation":[]},{"given":"Prashanta Kumar","family":"Patra","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"63_CR1","first-page":"226","volume-title":"Proc. 2nd Int. Conf. on Knowledge Discovery and Data Mining","author":"M. Ester","year":"1996","unstructured":"Ester, M., Kriegel, H.P., Snader, J., Xu, X.: A density Based Algorithm for Discovering clusters in Large Spatial Databases with Noise. In: Proc. 2nd Int. Conf. on Knowledge Discovery and Data Mining, OR, pp. 226\u2013231. AAAI Press, Menlo Park (1996)"},{"key":"63_CR2","first-page":"58","volume-title":"An Efficient Approach to Clustering in Large Multimedia Databases with Noise","author":"A. Hinneburg","year":"1998","unstructured":"Hinneburg, A., Hinneburg, E., Keim, D.A.: An Efficient Approach to Clustering in Large Multimedia Databases with Noise, pp. 58\u201365. AAAI Press, Menlo Park (1998)"},{"key":"63_CR3","doi-asserted-by":"crossref","unstructured":"Borah, B., Bhattacharyya, D.K.: An Improved Sampling-Based DBSCAN for Large Spatial Databases. In: Int. Conf. on Intelligent Sensing, pp. 92\u201396 (2004)","DOI":"10.1109\/ICISIP.2004.1287631"},{"issue":"2","key":"63_CR4","doi-asserted-by":"publisher","first-page":"72","DOI":"10.4304\/jcp.3.2.72-79","volume":"3","author":"B. Borah","year":"2008","unstructured":"Borah, B., Bhattacharyya, D.K.: DDSC:A Density Differentiated Spatial Clustering Technique. Journal of Computers\u00a03(2), 72\u201379 (2008)","journal-title":"Journal of Computers"},{"key":"63_CR5","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1145\/342009.335388","volume-title":"Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data","author":"M.M. Breunig","year":"2000","unstructured":"Breunig, M.M., Kriegel, H.-P., Ng, R.T., Sander, J.: LOF: Identifying Density-Based Local Outliers. In: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, vol.\u00a029, pp. 93\u2013104. ACM, New York (2000)"},{"key":"63_CR6","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1016\/j.is.2006.10.006","volume":"32","author":"L. Duan","year":"2007","unstructured":"Duan, L., Xu, L., Guo, F., Lee, J., Yan, B.: A local-density based spatial clustering algorithm with noise. Inf. Syst.\u00a032, 978\u2013986 (2007)","journal-title":"Inf. Syst."},{"key":"63_CR7","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1109\/CIDM.2009.4938662","volume-title":"IEEE Symposium on Computational Intelligence and Data Mining","author":"G. Wei","year":"2009","unstructured":"Wei, G., Wu, H.: LD-BSCA:A Local Density Based Spatial Clustering Algoithm. In: IEEE Symposium on Computational Intelligence and Data Mining, pp. 291\u2013298. IEEE Computer Scoiety, Los Alamitos (2009)"},{"issue":"4","key":"63_CR8","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1007\/BF01231602","volume":"3","author":"R.H. Gueting","year":"1994","unstructured":"Gueting, R.H.: An introduction to spatial database system. The VLDB Journal\u00a03(4), 357\u2013399 (1994)","journal-title":"The VLDB Journal"},{"key":"63_CR9","first-page":"49","volume-title":"Proc. of ACM SIGMOD Int. Conf. on Management of Data","author":"M. Ankerst","year":"1999","unstructured":"Ankerst, M., Breunig, M.M., Kriegel, H.P., Sander, J.: OPTICS:Ordering Points to Identify the Clustering Sructure. In: Proc. of ACM SIGMOD Int. Conf. on Management of Data, Philadelphia, P.A., pp. 49\u201360. ACM, New York (1999)"},{"key":"63_CR10","first-page":"508","volume-title":"2nd IEEE International Conference on Information Management and Engineering","author":"M. Chen","year":"2010","unstructured":"Chen, M., Gao, X., Li, H.: Parallel DBSCAN with Priority R-tree. In: 2nd IEEE International Conference on Information Management and Engineering, pp. 508\u2013511. IEEE, Los Alamitos (2010)"},{"key":"63_CR11","unstructured":"Xu, X., Ester, M., Kriegel, H.-P., Sander, J.: A distribution Based Clustering Algorithm for Mining in Large Spatial Databases. In: 14th Int. Conf. on Data Engineering, pp. 324\u2013331 (1998)"}],"container-title":["Communications in Computer and Information Science","Advances in Computing and Communications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-22709-7_63","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,28]],"date-time":"2021-11-28T18:36:40Z","timestamp":1638124600000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-22709-7_63"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642227080","9783642227097"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-22709-7_63","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2011]]}}}