{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,11]],"date-time":"2026-11-11T18:13:49Z","timestamp":1794420829691,"version":"4.9.1"},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642302190","type":"print"},{"value":"9783642302206","type":"electronic"}],"license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-30220-6_21","type":"book-chapter","created":{"date-parts":[[2012,5,9]],"date-time":"2012-05-09T01:37:35Z","timestamp":1336527455000},"page":"243-255","source":"Crossref","is-referenced-by-count":0,"title":["SHARD: A Framework for Sequential, Hierarchical Anomaly Ranking and Detection"],"prefix":"10.1007","author":[{"given":"Jason","family":"Robinson","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Margaret","family":"Lonergan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Allison","family":"Candido","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mehmet","family":"Sayal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","reference":[{"key":"21_CR1","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1111\/j.2517-6161.1959.tb00336.x","volume":"B21","author":"G.A. Barnard","year":"1959","unstructured":"Barnard, G.A.: Control charts and stochastic processes. Journal of the Royal Statistical Society\u00a0B21, 239\u2013271 (1959)","journal-title":"Journal of the Royal Statistical Society"},{"key":"21_CR2","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1145\/335191.335388","volume":"29","author":"M.M. Breunig","year":"2000","unstructured":"Breunig, M.M., Kriegel, H.-P., Ng, R.T., Sander, J.: Lof: identifying density-based local outliers. SIGMOD Record\u00a029, 93\u2013104 (2000)","journal-title":"SIGMOD Record"},{"key":"21_CR3","unstructured":"Chandola, V.: Anomaly detection for symbolic sequences and time series data. PhD thesis, University of Minnesota (2009)"},{"issue":"3","key":"21_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1541880.1541882","volume":"41","author":"V. Chandola","year":"2009","unstructured":"Chandola, V., Banerjee, A., Kumar, V.: Anomaly detection: A survey. ACM Computer Surveys\u00a041(3), 1\u201358 (2009)","journal-title":"ACM Computer Surveys"},{"key":"21_CR5","unstructured":"Oliveira, A.L., Antunes, C.M.: Temporal data mining: An overview. In: KDD Workshop on Temporal Data Mining (2001)"},{"key":"21_CR6","unstructured":"Frank, A., Asuncion, A.: UCI machine learning repository (2010)"},{"key":"21_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1007\/11538059_42","volume-title":"Advances in Intelligent Computing","author":"Z. He","year":"2005","unstructured":"He, Z., Deng, S., Xu, X.: An Optimization Model for Outlier Detection in Categorical Data. In: Huang, D.-S., Zhang, X.-P., Huang, G.-B. (eds.) ICIC 2005, Part I. LNCS, vol.\u00a03644, pp. 400\u2013409. Springer, Heidelberg (2005)"},{"key":"21_CR8","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1023\/B:AIRE.0000045502.10941.a9","volume":"22","author":"V. Hodge","year":"2004","unstructured":"Hodge, V., Austin, J.: A survey of outlier detection methodologies. Artificial Intelligence Review\u00a022, 85\u2013126 (2004)","journal-title":"Artificial Intelligence Review"},{"key":"21_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1007\/978-3-642-13803-4_50","volume-title":"Hybrid Artificial Intelligence Systems","author":"C. Joslyn","year":"2010","unstructured":"Joslyn, C., Hogan, E.: Order Metrics for Semantic Knowledge Systems. In: Corchado, E., Gra\u00f1a Romay, M., Manhaes Savio, A. (eds.) HAIS 2010, Part II. LNCS, vol.\u00a06077, pp. 399\u2013409. Springer, Heidelberg (2010)"},{"key":"21_CR10","doi-asserted-by":"crossref","unstructured":"Keogh, E., Lonardi, S., Chiu, B.: Finding surprising patterns in a time series database in linear time and space. In: ACM KDD, pp. 550\u2013556. ACM (2002)","DOI":"10.1145\/775047.775128"},{"key":"21_CR11","unstructured":"Li, X., Han, J.: Mining approximate top-k subspace anomalies in multi-dimensional time-series data. In: VLDB, pp. 447\u2013458. VLDB Endowment (2007)"},{"issue":"7","key":"21_CR12","doi-asserted-by":"publisher","first-page":"1497","DOI":"10.1016\/j.rse.2008.06.017","volume":"113","author":"R. Nemani","year":"2009","unstructured":"Nemani, R., Hashimoto, H., Votava, P., Melton, F., et al.: Monitoring and forecasting ecosystem dynamics using the terrestrial observation and prediction system (tops). Remote Sensing of Environment\u00a0113(7), 1497\u20131509 (2009)","journal-title":"Remote Sensing of Environment"},{"issue":"12","key":"21_CR13","doi-asserted-by":"publisher","first-page":"3448","DOI":"10.1016\/j.comnet.2007.02.001","volume":"51","author":"A. Patcha","year":"2007","unstructured":"Patcha, A., Park, J.M.: An overview of anomaly detection techniques: Existing solutions and latest technological trends. Computer Networks\u00a051(12), 3448\u20133470 (2007)","journal-title":"Computer Networks"},{"key":"21_CR14","doi-asserted-by":"crossref","unstructured":"Plaisant, C., Grosjean, J., Bederson, B.B.: Spacetree: Supporting exploration in large node link tree, design evolution and empirical evaluation. In: IEEE Symposium on Information Visualization, p. 57 (2002)","DOI":"10.1016\/B978-155860915-0\/50035-4"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-30220-6_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T06:29:38Z","timestamp":1713940178000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-30220-6_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642302190","9783642302206"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-30220-6_21","relation":{"is-part-of":[{"id-type":"doi","id":"https:\/\/doi.org\/10.1007\/978-3-642-30220-6","asserted-by":"object"}]},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012]]}}}