{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T12:14:53Z","timestamp":1766578493539,"version":"build-2065373602"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2014,4,1]],"date-time":"2014-04-01T00:00:00Z","timestamp":1396310400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2014,4,1]],"date-time":"2014-04-01T00:00:00Z","timestamp":1396310400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Autom. Comput."],"published-print":{"date-parts":[[2014,4]]},"DOI":"10.1007\/s11633-014-0775-8","type":"journal-article","created":{"date-parts":[[2014,4,7]],"date-time":"2014-04-07T19:39:51Z","timestamp":1396899591000},"page":"128-142","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Top-k Outlier Detection from Uncertain Data"],"prefix":"10.1007","volume":"11","author":[{"given":"Salman Ahmed","family":"Shaikh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiroyuki","family":"Kitagawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,3,12]]},"reference":[{"key":"775_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-21222-2_1","volume-title":"Hybrid Artificial Intelligent Systems","author":"A El\u00edas","year":"2011","unstructured":"A. El\u00edas, A. Ochoa-Zezzatti, A. Padilla, J. Ponce. Outlier analysis for plastic card fraud detection a hybridized and multi-objective approach. Hybrid Artificial Intelligent Systems, Berlin, Heidelberg: Springer, pp. 1\u20139, 2011."},{"key":"775_CR2","first-page":"601","volume-title":"Learning rules for anomaly detection of hostile network traffic","author":"M V Mahoney","year":"2003","unstructured":"M. V. Mahoney, P. K. Chan. Learning rules for anomaly detection of hostile network traffic. In Proceedings of the 3rd IEEE International Conference on Data Mining, IEEE, Melbourne, FL, USA, pp. 601\u2013604, 2003."},{"key":"775_CR3","doi-asserted-by":"publisher","first-page":"359","DOI":"10.4028\/www.scientific.net\/KEM.204-205.359","volume":"204\u2013205","author":"G Manson","year":"2001","unstructured":"G. Manson, G. Pierce, K. Worden. On the long-term stability of normal condition for damage detection in a composite panel. Key Engineering Materials, vol. 204\u2013205, pp. 359\u2013370, 2001.","journal-title":"Key Engineering Materials"},{"issue":"2","key":"775_CR4","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1016\/j.engappai.2010.10.018","volume":"24","author":"H Garces","year":"2011","unstructured":"H. Garces, D. Sbarbaro. Outliers detection in environmental monitoring databases. Engineering Applications of Artificial Intelligence, vol. 24, no. 2, pp. 341\u2013349, 2011.","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"775_CR5","first-page":"115","volume-title":"Noise and outlier filtering in heterogeneous medical data sources","author":"N Alaydie","year":"2010","unstructured":"N. Alaydie, F. Fotouhi, C. K. Reddy, H. Soltanian-Zadeh. Noise and outlier filtering in heterogeneous medical data sources. In Proceedings of Workshops on Database and Expert Systems Applications, IEEE, Bilbao, Spain, pp. 115\u2013119, 2010."},{"key":"775_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-015-3994-4","volume-title":"Identification of Outliers","author":"D M Hawkins","year":"1980","unstructured":"D. M. Hawkins. Identification of Outliers, London: Chapman and Hall, 1980."},{"key":"775_CR7","volume-title":"Outliers in Statistical Data","author":"V Barnett","year":"1994","unstructured":"V. Barnett, T. Lewis. Outliers in Statistical Data, New York: Wiley, 1994."},{"key":"775_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/b107408","volume-title":"Data Mining and Knowledge Discovery Handbook: A Complete Guide for Practitioners and Researchers","author":"O Z Maimon","year":"2005","unstructured":"O. Z. Maimon, L. Rokach. Data Mining and Knowledge Discovery Handbook: A Complete Guide for Practitioners and Researchers, Norwell: Kluwer Academic, 2005."},{"key":"775_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-6396-2","volume-title":"Outlier Analysis","author":"C C Aggarwal","year":"2013","unstructured":"C. C. Aggarwal. Outlier Analysis, New York: SpringerVerlag, 2013."},{"issue":"3\u20134","key":"775_CR10","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1007\/s007780050006","volume":"8","author":"E M Knorr","year":"2000","unstructured":"E. M. Knorr, R. T. Ng, V. Tucakov. Distance-based outliers: Algorithms and applications. The VLDB Journal, vol. 8, no. 3\u20134, pp. 237\u2013253, 2000.","journal-title":"The VLDB Journal"},{"key":"775_CR11","first-page":"392","volume-title":"Algorithms for mining distance-based outliers in large datasets","author":"E M Knorr","year":"1998","unstructured":"E. M. Knorr, R. T. Ng. Algorithms for mining distance-based outliers in large datasets. In Proceedings of 24th International Conference on Very Large Data Bases, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, pp. 392\u2013403, 1998."},{"key":"775_CR12","first-page":"315","volume-title":"LOCI: Fast outlier detection using the local correlation integral","author":"S Papadimitriou","year":"2003","unstructured":"S. Papadimitriou, H. Kitagawa, P. B. Gibbons, C. Faloutsos. LOCI: Fast outlier detection using the local correlation integral. In Proceedings of the 19th International Conference on Data Engineering, IEEE, Bangalore, India, pp. 315\u2013326, 2003."},{"issue":"10","key":"775_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/MDSO.2005.53","volume":"6","author":"V Kumar","year":"2005","unstructured":"V. Kumar. Parallel and distributed computing for cyber-security. IEEE Distributed Systems Online, vol. 6, no. 10, pp. 1\u20139, 2005.","journal-title":"IEEE Distributed Systems Online"},{"issue":"1\u20132","key":"775_CR14","doi-asserted-by":"publisher","first-page":"1469","DOI":"10.14778\/1920841.1921021","volume":"3","author":"G H Orair","year":"2010","unstructured":"G. H. Orair, C. H. C. Teixeira, W. Meira, Y. Wang, S. Parthasarathy. Distance-based outlier detection: Consolidation and renewed bearing. In Proceedings of the VLDB Endowment, vol. 3, no. 1\u20132, pp. 1469\u2013480, 2010.","journal-title":"Proceedings of the VLDB Endowment"},{"key":"775_CR15","first-page":"293","volume-title":"Distance-based outlier detection on uncertain data","author":"B Wang","year":"2009","unstructured":"B. Wang, G. Xiao, H. Yu, X. C. Yang. Distance-based outlier detection on uncertain data. In Proceedings of the 9th IEEE International Conference on Computer and Information Technology, IEEE, Xiamen, China, pp. 293\u201398, 2009."},{"issue":"2","key":"775_CR16","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/s10844-010-0128-1","volume":"36","author":"C Zhu","year":"2011","unstructured":"C. Zhu, H. Kitagawa, S. Papadimitriou, C. Faloutsos. Outlier detection by example. Journal of Intelligent Information Systems, vol. 36, no. 2, pp. 217\u2013247, 2011.","journal-title":"Journal of Intelligent Information Systems"},{"issue":"3","key":"775_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1754414.1754419","volume":"6","author":"A B Sharma","year":"2010","unstructured":"A. B. Sharma, L. Golubchik, R. Govindan. Sensor faults: Detection methods and prevalence in real-world datasets. ACM Transactions on Sensor Networks, vol. 6, no. 3, pp. 1\u201339, 2010.","journal-title":"ACM Transactions on Sensor Networks"},{"issue":"5","key":"775_CR18","doi-asserted-by":"publisher","first-page":"4430","DOI":"10.3390\/s100504430","volume":"10","author":"I Helm","year":"2010","unstructured":"I. Helm, L. Jalukse, I. Leito. Measurement uncertainty estimation in amperometric sensors: A tutorial review. Sensors, vol. 10, no. 5, pp. 4430\u20134455, 2010.","journal-title":"Sensors"},{"key":"775_CR19","unstructured":"Y. Diao, B. D. Li, A. N. Liu, L.P. Peng, C. Sutton, T. Tran, M. Zink. Capturing data uncertainty in high-volume stream processing. In Proceedings of the 4th Biennial Conference on Innovative Data Systems Research, Asilomar, California, USA, 2009."},{"issue":"4","key":"775_CR20","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1007\/s11633-008-0348-9","volume":"5","author":"A A Omer","year":"2008","unstructured":"A. A. Omer, J. P. Thomas, L. Zhu. Mutual authentication protocols for RFID systems. International Journal of Automation and Computing, vol. 5, no. 4, pp. 348\u2013365, 2008.","journal-title":"International Journal of Automation and Computing"},{"issue":"1","key":"775_CR21","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1145\/348.318586","volume":"9","author":"J Nievergelt","year":"1984","unstructured":"J. Nievergelt, H. Hinterberger, K. C. Sevick. The Grid file: An adaptable, symmetric multikey file structure. ACM Transactions on Database Systems, vol. 9, no. 1, 38\u201371, 1984.","journal-title":"ACM Transactions on Database Systems"},{"key":"775_CR22","unstructured":"Stevens Water Monitoring Systems, Inc., [Online], Available: http:\/\/www.stevenswater.com\/, March 7, 2013."},{"key":"775_CR23","unstructured":"Vaisala Corporation, [Online], Available: http:\/\/www.vaisala.com\/, March 7, 2013."},{"key":"775_CR24","unstructured":"Xylem Corporation, [Online], Available: http:\/\/www.globalw.com\/, March7, 2013."},{"key":"775_CR25","first-page":"427","volume-title":"Efficient algorithms for mining outliers from large data sets","author":"S Ramaswamy","year":"2000","unstructured":"S. Ramaswamy, R. Rastogi, K. Shim. Efficient algorithms for mining outliers from large data sets. In Proceedings of 2000 ACM SIGMOD International Conference on Management of Data, ACM, New York, NY, USA, pp. 427\u2013438, 2000."},{"key":"775_CR26","first-page":"15","volume-title":"Fast outlier detection in high dimensional spaces","author":"F Angiulli","year":"2002","unstructured":"F. Angiulli, C. Pizzuti. Fast outlier detection in high dimensional spaces. In Proceedings of the 6th European Conference, PKDD 2002, Springer, Helsinki, Finland, pp. 15\u201326, 2002."},{"key":"775_CR27","first-page":"811","volume-title":"Detecting distance-based outliers in streams of data","author":"F Angiulli","year":"2007","unstructured":"F. Angiulli, F. Fassetti. Detecting distance-based outliers in streams of data. In Proceedings of the 16th ACM Conference on Information and Knowledge Management, ACM, New York, NY, USA, pp. 811\u2013820, 2007."},{"key":"775_CR28","first-page":"135","volume-title":"Continuous monitoring of distance-based outliers over data streams","author":"M Kontaki","year":"2011","unstructured":"M. Kontaki, A. Gounaris, A. N. Papadopoulos, K. Tsichlas, Y. Manolopoulos. Continuous monitoring of distance-based outliers over data streams. In Proceedings of the 27th IEEE International Conference on Data Engineering, IEEE, Hannover, pp. 135\u2013146, 2011."},{"key":"775_CR29","first-page":"255","volume-title":"Detecting current outliers: Continuous outlier detection over time-series data streams","author":"K Ishida","year":"2008","unstructured":"K. Ishida, H. Kitagawa. Detecting current outliers: Continuous outlier detection over time-series data streams. In Proceedings of the 19th International Conference Database and Expert Systems Applications, Springer, Berlin, Heidelberg, pp. 255\u2013268, 2008."},{"key":"775_CR30","doi-asserted-by":"crossref","unstructured":"C. C. Aggarwal, P. S. Yu. Outlier detection with uncertain data. In Proceedings of the SIAM International Conference on Data Mining, pp. 483\u2013493, 2008.","DOI":"10.1137\/1.9781611972788.44"},{"key":"775_CR31","unstructured":"E. W. Weisstein. Normal Difference Distribution. From Math World A Wolfram Web Resource, [Online], Available: http:\/\/mathworld.wolfram.com\/, Jan 27, 2012."},{"key":"775_CR32","first-page":"109","volume-title":"Distance-based outlier detection on uncertain data of Gaussian distribution","author":"S A Shaikh","year":"2012","unstructured":"S. A. Shaikh, H. Kitagawa. Distance-based outlier detection on uncertain data of Gaussian distribution. In Proceedings of the 14th Asia-Pacific International Conference on Web Technologies and Applications, Springer-Verlag, Berlin, Heidelberg, pp. 109\u2013121, 2012."},{"key":"775_CR33","doi-asserted-by":"crossref","unstructured":"S. A. Shaikh, H. Kitagawa. Efficient distance-based outlier detection on uncertain datasets of Gaussian distribution. World Wide Web, 2013. (Online first).","DOI":"10.1007\/s11280-013-0211-y"},{"key":"775_CR34","first-page":"301","volume-title":"Fast top-k distance-based outlier detection on uncertain data","author":"S A Shaikh","year":"2013","unstructured":"S. A. Shaikh, H. Kitagawa. Fast top-k distance-based outlier detection on uncertain data. In Proceedings of the 14th International Conference on Web-age Information Management, Springer, Berlin, Heidelberg, pp. 301\u2013313, 2013."},{"key":"775_CR35","first-page":"93","volume-title":"LOF: Identifying density-based local outliers","author":"M M Breunig","year":"2000","unstructured":"M. M. Breunig, H. P. Kriegel, R. T. Ng, J. Sander. LOF: Identifying density-based local outliers. In Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, ACM, New York, NY, USA, pp. 93\u2013104, 2000."},{"issue":"9\u201310","key":"775_CR36","doi-asserted-by":"publisher","first-page":"1641","DOI":"10.1016\/S0167-8655(03)00003-5","volume":"24","author":"Z Y He","year":"2003","unstructured":"Z. Y. He, X. F. Xu, S. C. Deng. Discovering cluster-based local outliers. Pattern Recognition Letters, vol. 24, no. 9\u201310, pp. 1641\u20131650, 2003.","journal-title":"Pattern Recognition Letters"},{"key":"775_CR37","first-page":"422","volume-title":"Outlier detection on uncertain data: Objects, instances, and inferences","author":"B Jiang","year":"2011","unstructured":"B. Jiang, J. Pei. Outlier detection on uncertain data: Objects, instances, and inferences. In Proceedings of the 27th IEEE International Conference on Data Engineering, IEEE, Hannover, pp. 422\u2013433, 2011."},{"key":"775_CR38","volume-title":"Statistics for Imaging, Optics, and Photonics","author":"P Bajorski","year":"2012","unstructured":"P. Bajorski. Statistics for Imaging, Optics, and Photonics, New York: John Wiley & Sons Publication, 2012."},{"issue":"2","key":"775_CR39","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1080\/00031305.1994.10476030","volume":"48","author":"F Pukelsheim","year":"1994","unstructured":"F. Pukelsheim. The three sigma rule. The American Statistician, vol. 48, no. 2, pp. 88\u201391, 1994.","journal-title":"The American Statistician"},{"issue":"3","key":"775_CR40","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1272743.1272745","volume":"32","author":"Y F Tao","year":"2007","unstructured":"Y. F. Tao, X. K. Xiao, R. Cheng. Range search on multidimensional uncertain data. ACM Transactions on Database Systems, vol. 32, no. 3, pp. 1\u201354, 2007.","journal-title":"ACM Transactions on Database Systems"},{"issue":"12","key":"775_CR41","doi-asserted-by":"publisher","first-page":"4805","DOI":"10.1109\/TIT.2007.909173","volume":"53","author":"W J Thistleton","year":"2007","unstructured":"W. J. Thistleton, J. A. Marsh, K. Nelson, C. Tsallis. Generalized Box-M\u00fcller method for generating q-Gaussian random deviates. IEEE Transactions on Information Theory, vol. 53, no. 12, pp. 4805\u20134810, 2007.","journal-title":"IEEE Transactions on Information Theory"},{"key":"775_CR42","unstructured":"CISL Research Data Archive, [Online], Available: http:\/\/rda.ucar.edu, July 16, 2012."},{"key":"775_CR43","unstructured":"Sloan Digital Sky Survey, [Online], Available: http:\/\/www.sdss.org, July 16, 2012."},{"key":"775_CR44","unstructured":"International Surface Pressure Databank (ISPDv2) 1768 to 2010, [Online], Available: http:\/\/rda.ucar.edu\/datasets\/ds132.0\/index.html, July 16, 2012."}],"container-title":["International Journal of Automation and Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11633-014-0775-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11633-014-0775-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11633-014-0775-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11633-014-0775-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T14:02:44Z","timestamp":1761832964000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11633-014-0775-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,4]]},"references-count":44,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2014,4]]}},"alternative-id":["775"],"URL":"https:\/\/doi.org\/10.1007\/s11633-014-0775-8","relation":{},"ISSN":["1476-8186","1751-8520"],"issn-type":[{"type":"print","value":"1476-8186"},{"type":"electronic","value":"1751-8520"}],"subject":[],"published":{"date-parts":[[2014,4]]},"assertion":[{"value":"31 July 2013","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 November 2013","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 March 2015","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}