{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T15:56:55Z","timestamp":1725551815823},"publisher-location":"Berlin, Heidelberg","reference-count":16,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540308188"},{"type":"electronic","value":"9783540315995"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11596448_113","type":"book-chapter","created":{"date-parts":[[2006,6,17]],"date-time":"2006-06-17T13:12:37Z","timestamp":1150549957000},"page":"765-770","source":"Crossref","is-referenced-by-count":2,"title":["Grid-ODF: Detecting Outliers Effectively and Efficiently in Large Multi-dimensional Databases"],"prefix":"10.1007","author":[{"given":"Wei","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ji","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hai","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"113_CR1","doi-asserted-by":"crossref","unstructured":"Agrawal, R., Gehrke, J., Gunopulos, D., Raghavan, P.: Automatic Subspace Clustering of High Dimensional Data Mining Application. In: SIGMOD 1999, Philadelphia, PA (1999)","DOI":"10.1145\/276304.276314"},{"key":"113_CR2","volume-title":"Outliers in Statistical Data","author":"V. Barnett","year":"1994","unstructured":"Barnett, V., Lewis, T.: Outliers in Statistical Data, 3rd edn. John Wiley, Chichester (1994)","edition":"3"},{"key":"113_CR3","doi-asserted-by":"crossref","unstructured":"Breuning, M., Kriegel, H.-P., Ng, R., Sander, J.: LOF: Identifying Density-Based Local Outliers. In: SIGMOD 2000, Dallas, Texas (2000)","DOI":"10.1145\/342009.335388"},{"key":"113_CR4","unstructured":"Ester, M., Kriegel, H.-P., Sander, J., Xu, X.: A Density-based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In: KDD 1996, Portland, Oregon (1996)"},{"key":"113_CR5","volume-title":"Data Mining: Concepts and Techniques","author":"J. Han","year":"2000","unstructured":"Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufman Publishers, San Francisco (2000)"},{"key":"113_CR6","doi-asserted-by":"crossref","DOI":"10.1007\/978-94-015-3994-4","volume-title":"Identification of Outliers","author":"D. Hawkins","year":"1980","unstructured":"Hawkins, D.: Identification of Outliers. Chapman and Hall, London (1980)"},{"key":"113_CR7","unstructured":"Hinneburg, A., Keim, D.A.: An Efficient Approach to Cluster in Large Multimedia Databases with Noise. In: KDD 1998, New York City, NY (1998)"},{"key":"113_CR8","doi-asserted-by":"crossref","unstructured":"Jin, W., Tung, A.K.H., Han, J.: Finding Top_n Local Outliers in Large Database. In: SIGKDD 2001, San Francisco, CA (2001)","DOI":"10.1145\/502512.502554"},{"key":"113_CR9","unstructured":"Knorr, E.M., Ng, R.T.: Algorithms for Mining Distance-based Outliers in Large Dataset. In: VLDB 1998, New York, NY (1998)"},{"key":"113_CR10","unstructured":"Knorr, E.M., Ng, R.T.: Finding Intentional Knowledge of Distance-based Outliers. In: VLDB 1999, Edinburgh, Scotland (1999)"},{"key":"113_CR11","unstructured":"Ng, R., Han, J.: Efficient and Effective Clustering Methods for Spatial Data Mining. In: VLDB 1994, Santiago, Chile (1994)"},{"key":"113_CR12","volume-title":"Computational Geometry: an Introduction","author":"F. Preparata","year":"1988","unstructured":"Preparata, F., Shamos, M.: Computational Geometry: an Introduction. Springer, Heidelberg (1988)"},{"key":"113_CR13","doi-asserted-by":"crossref","unstructured":"Ramaswamy, S., Rastogi, R., Kyuseok, S.: Efficient Algorithms for Mining Outliers from Large Data Sets. In: SIGMOD 2000, Dallas, Texas (2000)","DOI":"10.1145\/342009.335437"},{"key":"113_CR14","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1016\/S0167-9473(96)00027-8","volume":"23","author":"I. Ruts","year":"1996","unstructured":"Ruts, I., Rousseeuw, P.: Computing Depth Contours of Bivariate Point Clouds. Computational Statistics and Data Analysis\u00a023, 153\u2013168 (1996)","journal-title":"Computational Statistics and Data Analysis"},{"issue":"3-4","key":"113_CR15","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1007\/s007780050009","volume":"8","author":"G. Sheikholeslami","year":"1999","unstructured":"Sheikholeslami, G., Chatterjee, S., Zhang, A.: WaveCluster: A Wavelet based Clustering Approach for Spatial Data in Very Large Database. VLDB Journal\u00a08(3-4), 289\u2013304 (1999)","journal-title":"VLDB Journal"},{"key":"113_CR16","doi-asserted-by":"crossref","unstructured":"Zhang, T., Ramakrishnan, R., Livny, M.: BIRCH: An Efficient Data Clustering Method for Very Large Databases. In: SIGMOD 1996, Montreal, Canada (1996)","DOI":"10.1145\/233269.233324"}],"container-title":["Lecture Notes in Computer Science","Computational Intelligence and Security"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11596448_113.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T06:55:26Z","timestamp":1619506526000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11596448_113"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540308188","9783540315995"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/11596448_113","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}