{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T05:41:50Z","timestamp":1733982110715,"version":"3.30.2"},"reference-count":35,"publisher":"Elsevier BV","issue":"4","license":[{"start":{"date-parts":[[2003,8,1]],"date-time":"2003-08-01T00:00:00Z","timestamp":1059696000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Statistics & Data Analysis"],"published-print":{"date-parts":[[2003,8]]},"DOI":"10.1016\/s0167-9473(02)00287-6","type":"journal-article","created":{"date-parts":[[2003,4,23]],"date-time":"2003-04-23T19:57:07Z","timestamp":1051127827000},"page":"445-469","source":"Crossref","is-referenced-by-count":8,"title":["3D visual data mining\u2014goals and experiences"],"prefix":"10.1016","volume":"43","author":[{"given":"Michael","family":"B\u00f6hlen","sequence":"first","affiliation":[]},{"given":"Linas","family":"Bukauskas","sequence":"additional","affiliation":[]},{"given":"Poul","family":"Svante Eriksen","sequence":"additional","affiliation":[]},{"given":"Steffen","family":"Lilholt Lauritzen","sequence":"additional","affiliation":[]},{"given":"Art\u016bras","family":"Ma\u017eeika","sequence":"additional","affiliation":[]},{"given":"Peter","family":"Musaeus","sequence":"additional","affiliation":[]},{"given":"Peer","family":"Mylov","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"doi-asserted-by":"publisher","unstructured":"Aboulnaga, A., Chaudhuri, S., 1999. Self-tuning histograms: building histograms without looking at data. In: Proceedings of the ACM SIGMOD 1999 International Conference on Management of Data, June, Philadelphia, PA, pp. 181\u2013192.","key":"10.1016\/S0167-9473(02)00287-6_BIB1","DOI":"10.1145\/304182.304198"},{"unstructured":"Berchtold, S., Keim, D.A., Kriegel, H.-P., 1996. The X-tree: an index structure for high-dimensional data. In: Vijayaraman, T.M., Buchmann, A.P., Mohan, C., Sarda, N.L. (Eds.), VLDB\u201996, Proceedings of 22nd International Conference on Very Large Data Bases, September 3\u20136, Mumbai (Bombay), India. Morgan Kaufmann, Los Altos, CA, pp. 28\u201339.","key":"10.1016\/S0167-9473(02)00287-6_BIB2"},{"doi-asserted-by":"publisher","unstructured":"Blohsfeld, B., Korus, D., Seeger, B., 1999. A comparison of selectivity estimators for range queries on metric attributes. In: Delis, A., Faloutsos, C., Ghandeharizadeh, S. (Eds.), Proceedings ACM SIGMOD 1999 International Conference on Management of Data, June, Philadelphia, PA, USA. ACM Press, New York, pp. 239\u2013250.","key":"10.1016\/S0167-9473(02)00287-6_BIB3","DOI":"10.1145\/304182.304203"},{"issue":"1","key":"10.1016\/S0167-9473(02)00287-6_BIB4","first-page":"78","article-title":"Interactive high-dimensional data visualization","volume":"5","author":"Buja","year":"1996","journal-title":"J. Comput. Graphical Statist."},{"doi-asserted-by":"publisher","unstructured":"Consens, M.P., Mendelzon, A.O., 1993. Hy+: a hygraph-based query and visualization system. In: Buneman, P., Jajodia, S. (Eds.), Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, Washington, DC, May 26\u201328. ACM Press, New York, pp. 511\u2013516.","key":"10.1016\/S0167-9473(02)00287-6_BIB5","DOI":"10.1145\/170035.171537"},{"year":"1984","author":"Devroy","series-title":"Nonparametric Density Estimation","key":"10.1016\/S0167-9473(02)00287-6_BIB6"},{"key":"10.1016\/S0167-9473(02)00287-6_BIB7","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/S0167-9473(98)00070-X","article-title":"An assesment of finite sample performance of adaptive methods in density estimation","volume":"30","author":"Farmen","year":"1999","journal-title":"Comput. Statist. Data Anal."},{"issue":"11","key":"10.1016\/S0167-9473(02)00287-6_BIB8","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1145\/240455.240466","article-title":"Statistical inference and data mining","volume":"39","author":"Glymour","year":"1996","journal-title":"Commun. ACM"},{"doi-asserted-by":"publisher","unstructured":"Guttman, A., 1984. R-trees: a dynamic index structure for spatial searching. In: Yormark, B. (Ed.), SIGMOD\u201984, Proceedings of Annual Meeting, Boston, Massachusetts, June 18\u201321. ACM Press, New York, pp. 47\u201357.","key":"10.1016\/S0167-9473(02)00287-6_BIB9","DOI":"10.1145\/602259.602266"},{"doi-asserted-by":"publisher","unstructured":"Henrich, A., 1998. The LSDh-tree: an access structure for feature vectors. In: Proceedings of the Fourteenth International Conference on Data Engineering, February 23\u201327, Orlando, FL, USA, IEEE Computer Society, Silver Spring, MD, pp. 362\u2013369.","key":"10.1016\/S0167-9473(02)00287-6_BIB10","DOI":"10.1109\/ICDE.1998.655799"},{"key":"10.1016\/S0167-9473(02)00287-6_BIB11","series-title":"Language and Space","first-page":"1","article-title":"The architecture of the linguistic-spatial interface","author":"Jackendoff","year":"1996"},{"doi-asserted-by":"publisher","unstructured":"Katayama, N., Satoh, S., 1997. The SR-tree: an index structure for high-dimensional nearest neighbor queries. In: Peckham, J. (Ed.), Proceedings ACM SIGMOD 1997 International Conference on Management of Data, May 13\u201315, Tucson, AZ, USA. ACM Press, New York, pp. 369\u2013380.","key":"10.1016\/S0167-9473(02)00287-6_BIB12","DOI":"10.1145\/253260.253347"},{"doi-asserted-by":"crossref","unstructured":"Katkovnik, V., Shmulevich, I., 2000. Nonparametric density estimation with adaptive varying window size. In: Conference on Image and Signal Processing for Remote Sensing VI, European Symposium on Remote Sensing, Barcelona, Spain, September 25\u201329.","key":"10.1016\/S0167-9473(02)00287-6_BIB13","DOI":"10.1117\/12.413890"},{"unstructured":"Keim, D.A., 1997. Visual data mining. Tutorial Notes, Athens, Greece.","key":"10.1016\/S0167-9473(02)00287-6_BIB14"},{"doi-asserted-by":"publisher","unstructured":"Keim, D.A., Kriegel, H.-P., 1995. Visdb: a system for visualizing large databases. In: Carey, M.J., Schneider, D.A. (Eds.), Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, San Jose, CA, May 22\u201325. ACM Press, New York, p. 482.","key":"10.1016\/S0167-9473(02)00287-6_BIB15","DOI":"10.1145\/223784.223895"},{"doi-asserted-by":"publisher","unstructured":"Lee, J., Kim, D., Chung, C., 1999. Multi-dimensional selectivity estimation using compressed histogram information. In: Delis, A., Faloutsos, C., Ghandeharizadeh, S. (Ed.), Proceedings of the ACM SIGMOD 1999 International Conference on Management of Data, June, Philadelphia, PA, USA. ACM Press, New York, pp. 205\u2013214.","key":"10.1016\/S0167-9473(02)00287-6_BIB16","DOI":"10.1145\/304182.304200"},{"doi-asserted-by":"crossref","unstructured":"Lorensen, W., Cline, H., 1987. Marchine cubes: A high resolution 3d surface construction algorithm, Proceedings of the 14th annual conference on Computer graphics and interactive techniques. ACM Press, pp. 163\u2013169.","key":"10.1016\/S0167-9473(02)00287-6_BIB17","DOI":"10.1145\/37402.37422"},{"unstructured":"Ma\u017eeika, A., B\u00f6hlen, M., Mylov, P., 2001. Density surfaces for immersive explorative data analyses. Proceedings of the Workshop on Visual Data Mining, in conjunction with Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.","key":"10.1016\/S0167-9473(02)00287-6_BIB18"},{"unstructured":"Nagel, H.R., Granum, E., Musaeus, P., 2001. Methods for visual mining of data in virtual reality. Proceedings of the International Workshop on Visual Data Mining, in conjunction with ECML\/PKDD2001\u20142nd European Conference on Machine Learning (ECML\u201901) and 5th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD\u201901).","key":"10.1016\/S0167-9473(02)00287-6_BIB19"},{"doi-asserted-by":"publisher","unstructured":"Robinson, J.T., 1981. The K-D-B-tree: a search structure for large multidimensional dynamic indexes. In: Edmund Lien, Y. (Ed.), Proceedings of the 1981 ACM SIGMOD International Conference on Management of Data, Ann Arbor, MI, April 29\u2013May 1. ACM Press, New York, pp. 10\u201318.","key":"10.1016\/S0167-9473(02)00287-6_BIB20","DOI":"10.1145\/582318.582321"},{"unstructured":"Sain, S.R., 1994. Adaptive kernel density estimation. Ph.D. Thesis, Department of Statistics, Rice University, Houston, Texas.","key":"10.1016\/S0167-9473(02)00287-6_BIB21"},{"doi-asserted-by":"publisher","unstructured":"\u0160altenis, S., Jensen, C.S., Leutenegger, S.T., Lopez, M.A., 2000. Indexing the positions of continuously moving objects. In: Chen, W., Naughton, J.F., Bernstein, P.A. (Eds.), Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, May 16\u201318, Dallas, TX, USA. Vol. 29. ACM, New York, pp. 331\u2013342.","key":"10.1016\/S0167-9473(02)00287-6_BIB22","DOI":"10.1145\/342009.335427"},{"unstructured":"Sawant, N., Scharver, C., Leigh, J., Johnson, A., Reinhart, G., Creel, E., Batchu, S., Bailey, S., Grossman, R., 2000. The tele-immersive data explorer: a distributed architecture for collaborative interactive visualization of large data-sets. In: Proceedings of the Fourth International Immersive Projection Technology Workshop, Ames.","key":"10.1016\/S0167-9473(02)00287-6_BIB23"},{"key":"10.1016\/S0167-9473(02)00287-6_BIB24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0010-0277(00)00152-9","article-title":"Objects and attention","volume":"80","author":"Scholl","year":"2001","journal-title":"Cognition"},{"year":"1992","author":"Scot","series-title":"Multivariate Density Estimation","key":"10.1016\/S0167-9473(02)00287-6_BIB25"},{"unstructured":"Shen, H., Johnson, C., 1995. Sweeping simplicies: a fast isosurface extraction algorithm for unstructured grids. In: Proceedings of Visualization 1995, Atlanta, GA. IEEE Computer Society Press, Silver Spring, MD, pp. 143\u2013150.","key":"10.1016\/S0167-9473(02)00287-6_BIB26"},{"year":"1986","author":"Silverman","series-title":"Density Estimation for Statistics and Data Analysis","key":"10.1016\/S0167-9473(02)00287-6_BIB27"},{"issue":"4","key":"10.1016\/S0167-9473(02)00287-6_BIB28","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1093\/biomet\/76.4.705","article-title":"Bootstrap Choice of the smoothing parameter in kernel density estimation","volume":"76","author":"Taylor","year":"1989","journal-title":"Biometrika"},{"year":"1996","author":"Ullman","series-title":"High-level vision. Object Recognition and Visual Cognition","key":"10.1016\/S0167-9473(02)00287-6_BIB29"},{"doi-asserted-by":"publisher","unstructured":"Van den Eijkel, G.C., Van der Lubbe, J.C.A., Backer, E., 1997. A modulated parzen-windows approach for probability density estimation. In: Liu, X., Cohen, P.R., Berthold, M.R. (Eds.), Advances in Intelligent Data Analysis, Reasoning about Data Second International Symposium, Lecture Notes in Computer Science, Vol. 1280. Springer, Berlin, pp. 479\u2013482.","key":"10.1016\/S0167-9473(02)00287-6_BIB30","DOI":"10.1007\/BFb0052864"},{"year":"1985","author":"Wand","series-title":"Kernel Smoothing","key":"10.1016\/S0167-9473(02)00287-6_BIB31"},{"year":"2000","author":"Ware","series-title":"Information Visualization: Perception for Design","key":"10.1016\/S0167-9473(02)00287-6_BIB32"},{"unstructured":"Wegman, E.J., Luo, Q., 1994. Visualizing densities. Technical Report No. 100, Center for Computational Statistics, George Mason University.","key":"10.1016\/S0167-9473(02)00287-6_BIB33"},{"doi-asserted-by":"publisher","unstructured":"White, D.A., Jain, R., 1996. Similarity indexing with the SS-tree. In: Su, S.Y.W. (Ed.), Proceedings of the Twelfth International Conference on Data Engineering, February 26\u2013March 1, New Orleans, LA. IEEE Computer Society, Silver Spring, MD, 516\u2013523.","key":"10.1016\/S0167-9473(02)00287-6_BIB34","DOI":"10.1109\/ICDE.1996.492202"},{"issue":"3","key":"10.1016\/S0167-9473(02)00287-6_BIB35","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1145\/130881.130882","article-title":"Octrees for faster isosurface generation","volume":"11","author":"Wilhelms","year":"1992","journal-title":"ACM Trans. Graphics"}],"container-title":["Computational Statistics & Data Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167947302002876?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167947302002876?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2020,3,11]],"date-time":"2020-03-11T23:09:31Z","timestamp":1583968171000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167947302002876"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,8]]},"references-count":35,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2003,8]]}},"alternative-id":["S0167947302002876"],"URL":"https:\/\/doi.org\/10.1016\/s0167-9473(02)00287-6","relation":{},"ISSN":["0167-9473"],"issn-type":[{"type":"print","value":"0167-9473"}],"subject":[],"published":{"date-parts":[[2003,8]]}}}