{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,2]],"date-time":"2025-02-02T05:20:49Z","timestamp":1738473649637,"version":"3.35.0"},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540881919"},{"type":"electronic","value":"9783540881926"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-88192-6_77","type":"book-chapter","created":{"date-parts":[[2008,9,29]],"date-time":"2008-09-29T08:05:59Z","timestamp":1222675559000},"page":"725-732","source":"Crossref","is-referenced-by-count":0,"title":["Mining Top-n Local Outliers in Constrained Spatial Networks"],"prefix":"10.1007","author":[{"given":"Chongsheng","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Zhongbo","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Bo","family":"Qu","sequence":"additional","affiliation":[]},{"given":"Hong","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"77_CR1","volume-title":"Outliers in Statistical Data","author":"V. Barnett","year":"1994","unstructured":"Barnett, V., Lewis, T.: Outliers in Statistical Data. John Wiley & Sons, Chichester (1994)"},{"key":"77_CR2","unstructured":"Johnson, T., Kwok, I., Ng, R.T.: Fast Computation of 2-Dimensional Depth Contours. In: Proc. SIGKDD, pp. 224\u2013228 (1998)"},{"key":"77_CR3","unstructured":"Knorr, E.M., Ng, R.T.: Algorithms for MiningDistance-Based Outliers in Large Datasets. In: Proc. of VLDB, pp. 392\u2013403 (1998)"},{"key":"77_CR4","unstructured":"Knorr, E.M., Ng, R.T.: Finding intensional knowledge of distance-based outliers. In: Proc. of VLDB, pp. 211\u2013222 (1999)"},{"key":"77_CR5","unstructured":"Ester, M., Kriegel, P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases. In: Proc. KDD, Portland, Oregon, pp. 226\u2013231 (1996)"},{"key":"77_CR6","doi-asserted-by":"crossref","unstructured":"Guha, S., Rastogi, R., Shim, K.: Cure: An efficient clustering algorithm for large databases. In: Proc. SIGMOD, Seattle, WA, pp. 73\u201384 (1998)","DOI":"10.1145\/276304.276312"},{"key":"77_CR7","unstructured":"Ng, R., Han, J.: Efficient and effective clustering method for spatial data mining. In: Proc. VLDB, Santiago, Chile, pp. 144\u2013155 (1994)"},{"key":"77_CR8","doi-asserted-by":"crossref","unstructured":"Breunig, M., Kriegel, H., Ng, R.T., Sander, J.: LOF: Identifying Density-Based Local Outliers. In: Proc. of ACM SIGMOD 2000, TX (2000)","DOI":"10.1145\/342009.335388"},{"key":"77_CR9","doi-asserted-by":"crossref","unstructured":"Jin, W., Tung, A.K.H., Han, J.: Mining top-n local outliers in large databases. In: Proc. ACM SIGKDD, San Francisco, New York, pp. 293\u2013298 (2001)","DOI":"10.1145\/502512.502554"},{"key":"77_CR10","doi-asserted-by":"crossref","unstructured":"Papadimitirou, S., Kitagawa, H., Gibbons, P.B., Faloutsos, C.: LOCI: Fast outlier detection using the local correlation integral. In: Proc. ICDE, Bangalore, India, pp. 315\u2013326 (2003)","DOI":"10.1109\/ICDE.2003.1260802"},{"key":"77_CR11","doi-asserted-by":"crossref","unstructured":"Lee, J., Han, J., Li, X.: Trajectory Outlier Detection: A Partition-and-Detect Framework. In: Proc. of IEEE ICDE, Cancun, Mexico (April 2008)","DOI":"10.1109\/ICDE.2008.4497422"},{"key":"77_CR12","unstructured":"Li, X., Han, J.: Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data. In: Proc. VLDB 2007, Vienna, Austria (September 2007)"},{"key":"77_CR13","doi-asserted-by":"crossref","unstructured":"Yoon, K.-A., Kwon, O.-S., Bae, D.-H.: An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method. In: Proc. ESEM 2007, pp. 443\u2013445 (2007)","DOI":"10.1109\/ESEM.2007.49"},{"key":"77_CR14","doi-asserted-by":"crossref","unstructured":"Zhu, Y.Y., Shasha, D.: Efficient elastic burst detection in data streams. In: Proc. SIGKDD 2003, New York, pp. 336\u2013345 (2003)","DOI":"10.1145\/956750.956789"},{"key":"77_CR15","doi-asserted-by":"crossref","unstructured":"Zhang, X., Shasha, D.: Better Burst Detection. In: Proc. ICDE 2006, Atlanta, GA, USA, p. 146 (2006)","DOI":"10.1109\/ICDE.2006.30"},{"key":"77_CR16","doi-asserted-by":"crossref","unstructured":"Elio Masciari, E.E.: A Framework for Outlier Mining in RFID data. In: Proc. of IDEAS 2007, September 2007, pp. 263\u2013267 (2007)","DOI":"10.1109\/IDEAS.2007.4318112"},{"issue":"2","key":"77_CR17","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1023\/A:1015231126594","volume":"6","author":"T. Brinkhoff","year":"2002","unstructured":"Brinkhoff, T.: A Framework for Generating Network-Based Moving Objects. GeoInformatica\u00a06(2), 153\u2013180 (2002)","journal-title":"GeoInformatica"}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-88192-6_77.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T08:04:09Z","timestamp":1738397049000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-88192-6_77"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540881919","9783540881926"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-88192-6_77","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[]}}