{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T16:35:07Z","timestamp":1759336507542,"version":"3.38.0"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2011,10,12]],"date-time":"2011-10-12T00:00:00Z","timestamp":1318377600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Geoinformatica"],"published-print":{"date-parts":[[2012,7]]},"DOI":"10.1007\/s10707-011-0145-4","type":"journal-article","created":{"date-parts":[[2011,10,11]],"date-time":"2011-10-11T05:30:03Z","timestamp":1318311003000},"page":"597-619","source":"Crossref","is-referenced-by-count":9,"title":["A fuzzy index for detecting spatiotemporal outliers"],"prefix":"10.1007","volume":"16","author":[{"given":"George","family":"Grekousis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yorgos N.","family":"Fotis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2011,10,12]]},"reference":[{"unstructured":"Adam NR, Janeja VP, Atluri V (2004) Neighborhood based detection of anomalies in high dimension spatio-temporal sensor datasets, 2004 ACM symposium on Applied Computing, March 14\u201317, Nicosia, Cyprus, P. 576\u2013583","key":"145_CR1"},{"issue":"2","key":"145_CR2","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1111\/j.1538-4632.1995.tb00338.x","volume":"27","author":"L Anselin","year":"1995","unstructured":"Anselin L (1995) Local Indicators of Spatial Association: LISA. Geogr Anal 27(2):93\u2013115","journal-title":"Geogr Anal"},{"key":"145_CR3","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1002\/bs.3830120210","volume":"12","author":"G Ball","year":"1967","unstructured":"Ball G, Hall D (1967) A clustering technique for summarizing multivariate data. Behav Sci 12:153\u2013155","journal-title":"Behav Sci"},{"key":"145_CR4","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-0450-1","volume-title":"Pattern recognition with fuzzy objective function algoritms","author":"JC Bezdek","year":"1981","unstructured":"Bezdek JC (1981) Pattern recognition with fuzzy objective function algoritms. Plenum Press, New York"},{"unstructured":"Barnett V, Lewis T (1994) Outliers in statistical data, John Wiley","key":"145_CR5"},{"issue":"4","key":"145_CR6","doi-asserted-by":"crossref","first-page":"291","DOI":"10.2498\/cit.2006.04.04","volume":"14","author":"D Birant","year":"2006","unstructured":"Birant D, Kut A (2006) Spatio-temporal outlier detection in large databases. J Comput Inform Technol\u2014CIT 14(4):291\u2013297","journal-title":"J Comput Inform Technol\u2014CIT"},{"doi-asserted-by":"crossref","unstructured":"Breunig M, Kriegel H, Ng RT, Sander J (1999) OPTICS-OF: identifying local outliers. In: Proc. of PKDD 99, Prague, Czech Republic, Lecture Notes in Computer Science (LNAI 1704), Springer Verlag, pp. 262\u2013270","key":"145_CR7","DOI":"10.1007\/978-3-540-48247-5_28"},{"doi-asserted-by":"crossref","unstructured":"Breunig M, Kriegel H, Ng RT, Sander J (2000) LOF: identifying density-based local outliers. Proc. ACM SIGMOD 2000 Int. Conf. On Management of Data, Dalles, TX, 2000","key":"145_CR8","DOI":"10.1145\/342009.335388"},{"issue":"12","key":"145_CR9","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1007\/s10707-007-0038-8","volume":"2008","author":"D Chen","year":"2008","unstructured":"Chen D, Chang Lu, Kou Y, Chen F (2008) On detecting spatial outliers. GeoInformatica 2008(12):455\u2013475","journal-title":"GeoInformatica"},{"unstructured":"Cheng T, Zhilin L, (2004) A multiscale approach to detect spatial-temporal outliers. Geo-Imagery Bridging Continents XXth ISPRS Congress, July 12\u201323, 2004, Istanbul, Turkey","key":"145_CR10"},{"unstructured":"Jensen A, Gavrilova M (2006) Normal vs abnormal behavior. Technical Report, SPARCS Lab, https:\/\/dspace.ucalgary.ca\/bitstream\/1880\/45489\/2\/2006-819-12.pdf","key":"145_CR11"},{"unstructured":"Johnson R (1992) Applied multilevel statistical analysis. Prentice Hall","key":"145_CR12"},{"unstructured":"Knorr E, Ng R (1997) A unified notion of outliers: properties and computation. In Proc. Of the International Conference on Knowledge discovery and data mining, 219\u2013222","key":"145_CR13"},{"unstructured":"Knorr E, Ng R (1998) Algorithms for mining distance based outliers in large datasets. In Proceedings of 24 th VLDB Conference, 1998","key":"145_CR14"},{"doi-asserted-by":"crossref","unstructured":"Lu Y, Thill J-C (2003) Assessing the cluster correspondence between paired point locations. Geographical Analysis, Vol 35, No 4. The Ohio State University","key":"145_CR15","DOI":"10.1353\/geo.2003.0017"},{"unstructured":"McNeill D, Freiberger P (1994) Fuzzy Logic\u2014the revolutionary computer technology that is changing our world, Touchstone-Simon and Shuster, pp. 319","key":"145_CR16"},{"key":"145_CR17","doi-asserted-by":"crossref","first-page":"218","DOI":"10.4324\/9780203468029_chapter_9","volume-title":"Geographic data mining and knowledge discovery","author":"R Ng","year":"2001","unstructured":"Ng R (2001) Detecting outliers from large datasets. In: Miller HJ, Han J (eds) Geographic data mining and knowledge discovery. Taylor and Francis, London, pp 218\u2013235"},{"doi-asserted-by":"crossref","unstructured":"Ramaswamy S, Rastogi R, Shim K (2000) Efficient algorithms for mining outliers from large data sets. In Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, pages 427\u2013438","key":"145_CR18","DOI":"10.1145\/342009.335437"},{"key":"145_CR19","volume-title":"Fuzzy logic with engineering applications","author":"JT Ross","year":"2004","unstructured":"Ross JT (2004) Fuzzy logic with engineering applications. Wiley, England"},{"issue":"1","key":"145_CR20","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/S0167-9473(96)00027-8","volume":"23","author":"I Ruts","year":"1996","unstructured":"Ruts I, Rousseeuw PJ (1996) Computing depth contours of bivariate point clouds. Comput Stat Data Anal 23(1):153\u2013168","journal-title":"Comput Stat Data Anal"},{"key":"145_CR21","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1023\/A:1023455925009","volume":"7","author":"S Shekhar","year":"2003","unstructured":"Shekhar S, Lu CT, Zhang P (2003) A unified approach to detection spatial outliers. GeoInformatica 7:139\u2013166","journal-title":"GeoInformatica"},{"doi-asserted-by":"crossref","unstructured":"Vaswani N, Chowdhury AR, Chellappa R (2003) Statistical shapetheory for activity modeling, International Conference on Multimedia and Expo, 2003. ICME\u201903 Proceedings, 2003, Volume 3, 6\u20139, July2003. Pg. 111-181-4 Vol. 3","key":"145_CR22","DOI":"10.1109\/ICME.2003.1221278"},{"issue":"3","key":"145_CR23","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1023\/B:DAMI.0000023676.72185.7c","volume":"8","author":"K Yamanishi","year":"2004","unstructured":"Yamanishi K, Takeuchi J-I, Williams G, Milne P (2004) On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms. Data Min Knowl Discov 8(3):275\u2013300","journal-title":"Data Min Knowl Discov"},{"unstructured":"Yamanishi K, Takeuchi J-I (2002) A unifying framework for detecting outliers and change points from non-stationary time series data, 10 Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Pg. 676\u2013681","key":"145_CR24"},{"unstructured":"Yu D, Sheikholeslami G, Zhang A (1999) Findout: finding outliers in very large datasets, In Development of Computer Science and Engineering, Tech Report 99\u201303, SUNY Buffalo","key":"145_CR25"},{"key":"145_CR26","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh LA (1965) Fuzzy sets. Inf Control 8:338\u2013353","journal-title":"Inf Control"},{"unstructured":"Zhang Y, Meratnia N, Havinga PJM (2008) Outlier detection techniques for wireless sensor networks: a survey. Technical Report TR-CTIT-08-59, Centre for Telematics and Information Technology, University of Twente, Enschede. ISSN 1381\u20133625","key":"145_CR27"},{"doi-asserted-by":"crossref","unstructured":"Zimmermann H-J (1993) Fuzzy technologien. Prinzipien, Werkzeuge, Potentiale. VDI-Verlag, D\u00fcsseldorf","key":"145_CR28","DOI":"10.1007\/978-3-642-95774-1_4"},{"unstructured":"Zhao J, Lu CT, Kou Y (2003) Detecting region outliers in meteorological data, Proceedings of the 11th International Symposium on Advances in Geographic Information Systems, New Orleans, Louisiana, pp. 49\u201355, Nov. 7\u20138","key":"145_CR29"}],"container-title":["GeoInformatica"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10707-011-0145-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10707-011-0145-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10707-011-0145-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T17:59:34Z","timestamp":1741802374000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10707-011-0145-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,10,12]]},"references-count":29,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2012,7]]}},"alternative-id":["145"],"URL":"https:\/\/doi.org\/10.1007\/s10707-011-0145-4","relation":{},"ISSN":["1384-6175","1573-7624"],"issn-type":[{"type":"print","value":"1384-6175"},{"type":"electronic","value":"1573-7624"}],"subject":[],"published":{"date-parts":[[2011,10,12]]}}}