{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,26]],"date-time":"2026-04-26T05:03:19Z","timestamp":1777179799879,"version":"3.51.4"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2018,3,29]],"date-time":"2018-03-29T00:00:00Z","timestamp":1522281600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,3,29]],"date-time":"2018-03-29T00:00:00Z","timestamp":1522281600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61602306"],"award-info":[{"award-number":["61602306"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1637067"],"award-info":[{"award-number":["1637067"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"IBM","award":["SUR"],"award-info":[{"award-number":["SUR"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Data Min Knowl Disc"],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1007\/s10618-018-0560-3","type":"journal-article","created":{"date-parts":[[2018,4,4]],"date-time":"2018-04-04T01:52:52Z","timestamp":1522806772000},"page":"1056-1073","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Anomaly detection in spatiotemporal data via regularized non-negative tensor analysis"],"prefix":"10.1007","volume":"32","author":[{"given":"Chaoguang","family":"Lin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiuhan","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shunan","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuochen","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Ru","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nan","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,3,29]]},"reference":[{"key":"560_CR1","unstructured":"Bahadori MT, Yu QR, Liu Y (2014) Fast multivariate spatio-temporal analysis via low rank tensor learning. In: Advances in neural information processing systems, pp 3491\u20133499"},{"key":"560_CR2","doi-asserted-by":"crossref","unstructured":"Bai Y, Tezcan J, Cheng Q, Cheng J (2013) A multiway model for predicting earthquake ground motion. In: ACIS international conference on software engineering, artificial intelligence, networking and parallel\/distributed computing (SNPD), pp 219\u2013224","DOI":"10.1109\/SNPD.2013.17"},{"key":"560_CR3","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1145\/335191.335388","volume":"29","author":"MM Breunig","year":"2000","unstructured":"Breunig MM, Kriegel HP, Ng RT, Sander J (2000) Lof: identifying density-based local outliers. ACM Sigmod Rec 29:93\u2013104","journal-title":"ACM Sigmod Rec"},{"issue":"3","key":"560_CR4","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1145\/1541880.1541882","volume":"41","author":"V Chandola","year":"2009","unstructured":"Chandola V, Banerjee A, Kumar V (2009) Anomaly detection: a survey. ACM Comput Surv (CSUR) 41(3):15","journal-title":"ACM Comput Surv (CSUR)"},{"key":"560_CR5","first-page":"34","volume":"1","author":"Y Chen","year":"2001","unstructured":"Chen Y, Zhou XS, Huang TS (2001) One-class svm for learning in image retrieval. IEEE Image Process 1:34\u201337","journal-title":"IEEE Image Process"},{"key":"560_CR6","doi-asserted-by":"publisher","DOI":"10.1002\/9780470747278","volume-title":"Nonnegative matrix and tensor factorizations: applications to exploratory multi-way data analysis and blind source separation","author":"A Cichocki","year":"2009","unstructured":"Cichocki A, Zdunek R, Phan AH, Amari SI (2009) Nonnegative matrix and tensor factorizations: applications to exploratory multi-way data analysis and blind source separation. Wiley, New York"},{"issue":"3","key":"560_CR7","doi-asserted-by":"publisher","first-page":"597","DOI":"10.3233\/IDA-150734","volume":"19","author":"H Fanaee-T","year":"2015","unstructured":"Fanaee-T H, Gama J (2015) Eigenevent: an algorithm for event detection from complex data streams in syndromic surveillance. Intell Data Anal 19(3):597\u2013616","journal-title":"Intell Data Anal"},{"key":"560_CR8","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.knosys.2016.01.027","volume":"98","author":"H Fanaee-T","year":"2016","unstructured":"Fanaee-T H, Gama J (2016a) Tensor-based anomaly detection: an interdisciplinary survey. Knowl Based Syst 98:130\u2013147","journal-title":"Knowl Based Syst"},{"key":"560_CR9","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.neucom.2016.04.006","volume":"203","author":"H Fanaee-T","year":"2016","unstructured":"Fanaee-T H, Gama J (2016b) Event detection from traffic tensors: a hybrid model. Neurocomputing 203:22\u201333","journal-title":"Neurocomputing"},{"key":"560_CR10","unstructured":"Fanaee-T H, Gama J (2014) An eigenvector-based hotspot detection. arXiv preprint \n                    arXiv:1406.3191"},{"issue":"1","key":"560_CR11","doi-asserted-by":"publisher","first-page":"e86028","DOI":"10.1371\/journal.pone.0086028","volume":"9","author":"L Gauvin","year":"2014","unstructured":"Gauvin L, Panisson A, Cattuto C (2014) Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach. PloS ONE 9(1):e86028","journal-title":"PloS ONE"},{"issue":"1","key":"560_CR12","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1109\/MIS.2016.5","volume":"31","author":"M Jiang","year":"2016","unstructured":"Jiang M, Cui P, Faloutsos C (2016) Suspicious behavior detection: current trends and future directions. IEEE Intell Syst 31(1):31\u201339","journal-title":"IEEE Intell Syst"},{"issue":"2","key":"560_CR13","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1007\/s10898-013-0035-4","volume":"58","author":"J Kim","year":"2014","unstructured":"Kim J, He Y, Park H (2014) Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework. J Global Optim 58(2):285\u2013319","journal-title":"J Global Optim"},{"issue":"3","key":"560_CR14","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1137\/07070111X","volume":"51","author":"TG Kolda","year":"2009","unstructured":"Kolda TG, Bader BW (2009) Tensor decompositions and applications. SIAM Rev 51(3):455\u2013500","journal-title":"SIAM Rev"},{"issue":"12","key":"560_CR15","doi-asserted-by":"publisher","first-page":"4192","DOI":"10.1016\/j.patcog.2012.04.033","volume":"45","author":"I Kotsia","year":"2012","unstructured":"Kotsia I, Guo W, Patras I (2012) Higher rank support tensor machines for visual recognition. Pattern Recogn 45(12):4192\u20134203","journal-title":"Pattern Recogn"},{"issue":"12","key":"560_CR16","doi-asserted-by":"publisher","first-page":"1373","DOI":"10.1007\/s00371-013-0892-3","volume":"30","author":"S Liu","year":"2014","unstructured":"Liu S, Cui W, Wu Y, Liu M (2014) A survey on information visualization: recent advances and challenges. Visual Comput 30(12):1373\u20131393","journal-title":"Visual Comput"},{"issue":"1","key":"560_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TVCG.2016.2598432","volume":"23","author":"D Liu","year":"2017","unstructured":"Liu D, Weng D, Li Y, Bao J, Zheng Y, Qu H, Wu Y (2017) SmartAdP: Visual analytics of large-scale taxi trajectories for selecting billboard locations. IEEE Trans. Vis. Comput. Graphics 23(1):1\u201310","journal-title":"IEEE Trans. Vis. Comput. Graphics"},{"key":"560_CR18","doi-asserted-by":"crossref","unstructured":"Liu Y, Zhou B, Chen F, Cheung DW (2016) Graph topic scan statistic for spatial event detection. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. ACM, pp 489\u2013498","DOI":"10.1145\/2983323.2983744"},{"key":"560_CR19","doi-asserted-by":"crossref","unstructured":"Mao HH, Wu CJ, Papalexakis EE, Faloutsos C, Lee KC, Kao TC (2014) Malspot: Multi2 malicious network behavior patterns analysis. In: Pacific-Asia conference on knowledge discovery and data mining. Springer, pp 1\u201314","DOI":"10.1007\/978-3-319-06608-0_1"},{"key":"560_CR20","doi-asserted-by":"crossref","unstructured":"Matsubara Y, Sakurai Y, Faloutsos C, Iwata T, Yoshikawa M (2012) Fast mining and forecasting of complex time-stamped events. In: Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining, pp 271\u2013279","DOI":"10.1145\/2339530.2339577"},{"issue":"8","key":"560_CR21","doi-asserted-by":"publisher","first-page":"1361","DOI":"10.1002\/aic.690400809","volume":"40","author":"P Nomikos","year":"1994","unstructured":"Nomikos P, MacGregor JF (1994) Monitoring batch processes using multiway principal component analysis. AIChE J 40(8):1361\u20131375","journal-title":"AIChE J"},{"key":"560_CR22","doi-asserted-by":"crossref","unstructured":"Papalexakis EE, Faloutsos C, Sidiropoulos ND (2012) Parcube: sparse parallelizable tensor decompositions. In: Joint European conference on machine learning and knowledge discovery in databases. Springer, pp 521\u2013536","DOI":"10.1007\/978-3-642-33460-3_39"},{"key":"560_CR23","doi-asserted-by":"crossref","unstructured":"Papalexakis E, Pelechrinis K, Faloutsos C (2014) Spotting misbehaviors in location-based social networks using tensors. In: Proceedings of the international conference on world wide web. ACM, pp 551\u2013552","DOI":"10.1145\/2567948.2576950"},{"issue":"3","key":"560_CR24","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1109\/TNET.2008.2001468","volume":"17","author":"IC Paschalidis","year":"2009","unstructured":"Paschalidis IC, Smaragdakis G (2009) Spatio-temporal network anomaly detection by assessing deviations of empirical measures. IEEE\/ACM Trans Netw (TON) 17(3):685\u2013697","journal-title":"IEEE\/ACM Trans Netw (TON)"},{"issue":"25","key":"560_CR25","doi-asserted-by":"publisher","first-page":"1246004","DOI":"10.1142\/S0217979212460046","volume":"26","author":"MA Prada","year":"2012","unstructured":"Prada MA, Dominguez M, Barrientos P, Garcia S (2012a) Dimensionality reduction for damage detection in engineering structures. Int J Mod Phys B 26(25):1246004","journal-title":"Int J Mod Phys B"},{"key":"560_CR26","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.neucom.2011.07.030","volume":"80","author":"MA Prada","year":"2012","unstructured":"Prada MA, Toivola J, Kullaa J, Hollm\u00e9N J (2012b) Three-way analysis of structural health monitoring data. Neurocomputing 80:119\u2013128","journal-title":"Neurocomputing"},{"issue":"3","key":"560_CR27","first-page":"57","volume":"3","author":"S Rendle","year":"2012","unstructured":"Rendle S (2012) Factorization machines with libfm. ACM Trans Intell Syst Technol (TIST) 3(3):57","journal-title":"ACM Trans Intell Syst Technol (TIST)"},{"key":"560_CR28","doi-asserted-by":"crossref","unstructured":"Rozenshtein P, Anagnostopoulos A, Gionis A, Tatti N (2014) Event detection in activity networks. In: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, pp 1176\u20131185","DOI":"10.1145\/2623330.2623674"},{"issue":"2","key":"560_CR29","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1007\/s10115-014-0733-3","volume":"43","author":"L Shi","year":"2015","unstructured":"Shi L, Gangopadhyay A, Janeja VP (2015) Stensr: spatio-temporal tensor streams for anomaly detection and pattern discovery. Knowl Inf Syst 43(2):333","journal-title":"Knowl Inf Syst"},{"issue":"5","key":"560_CR30","doi-asserted-by":"publisher","first-page":"1506","DOI":"10.1109\/TVCG.2016.2535234","volume":"23","author":"GD Sun","year":"2017","unstructured":"Sun GD, Liang R, Qu H, Wu Y (2017a) Embedding spatiotemporal information into maps by route-zooming. IEEE Trans. Vis. Comput. Graphics 23(5):1506\u20131519","journal-title":"IEEE Trans. Vis. Comput. Graphics"},{"issue":"2","key":"560_CR31","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1145\/3106775","volume":"9","author":"G Sun","year":"2017","unstructured":"Sun G, Tang T, Peng TQ, Liang R, Wu Y (2017b) Socialwave: visual analysis of spatio-temporal diffusion of information on social media. ACM Trans Intell Syst Technol 9(2):15","journal-title":"ACM Trans Intell Syst Technol"},{"issue":"3","key":"560_CR32","first-page":"11","volume":"2","author":"J Sun","year":"2008","unstructured":"Sun J, Tao D, Papadimitriou S, Yu PS, Faloutsos C (2008) Incremental tensor analysis: Theory and applications. ACM Trans Knowl Discov Data (TKDD) 2(3):11","journal-title":"ACM Trans Knowl Discov Data (TKDD)"},{"key":"560_CR33","doi-asserted-by":"crossref","unstructured":"Sun J, Tao D, Faloutsos C (2006) Beyond streams and graphs: dynamic tensor analysis. In: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, pp 374\u2013383","DOI":"10.1145\/1150402.1150445"},{"issue":"5","key":"560_CR34","doi-asserted-by":"publisher","first-page":"852","DOI":"10.1007\/s11390-013-1383-8","volume":"28","author":"G Sun","year":"2013","unstructured":"Sun G, Wu YC, Liang RH, Liu SX (2013) A survey of visual analytics techniques and applications: state-of-the-art research and future challenges. J Comput Sci Tech 28(5):852\u2013867","journal-title":"J Comput Sci Tech"},{"key":"560_CR35","unstructured":"Tao D, Li X, Hu W, Maybank S, Wu X (2005) Supervised tensor learning. In: IEEE international conference on data mining"},{"key":"560_CR36","unstructured":"Thai-Nghe N, Horv\u00e1th T, Schmidt-Thieme L (2010) Factorization models for forecasting student performance. In: Educational Data Mining 2011"},{"issue":"7","key":"560_CR37","doi-asserted-by":"publisher","first-page":"1584","DOI":"10.1016\/j.neucom.2008.09.003","volume":"72","author":"X Tian","year":"2009","unstructured":"Tian X, Zhang X, Deng X, Chen S (2009) Multiway kernel independent component analysis based on feature samples for batch process monitoring. Neurocomputing 72(7):1584\u20131596","journal-title":"Neurocomputing"},{"key":"560_CR38","unstructured":"Tork HF, Oliveira M, Gama J, Malinowski S, Morla R (2012) Event and anomaly detection using tucker3 decomposition. In: Workshop on ubiquitous data mining, p 8"},{"key":"560_CR39","doi-asserted-by":"crossref","unstructured":"Wang XR, Lizier JT, Obst O, Prokopenko M, Wang P (2008) Spatiotemporal anomaly detection in gas monitoring sensor networks. In: Wireless sensor networks: 5th European conference, EWSN 2008. Springer, pp 90\u2013105","DOI":"10.1007\/978-3-540-77690-1_6"},{"key":"560_CR40","doi-asserted-by":"crossref","unstructured":"Wang J, Gao F, Cui P, Li C, Xiong Z (2014) Discovering urban spatio-temporal structure from time-evolving traffic networks. In: Asia-Pacific web conference. Springer, pp 93\u2013104","DOI":"10.1007\/978-3-319-11116-2_9"},{"key":"560_CR41","doi-asserted-by":"crossref","unstructured":"Weng D, Zhu H, Bao J, Zheng Y, Wu Y (2018) Homefinder revisited: finding ideal homes with reachability centric multi-criteria decision making. In Proceedings of ACM CHI","DOI":"10.1145\/3173574.3173821"},{"issue":"1","key":"560_CR42","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1109\/TVCG.2017.2744218","volume":"24","author":"Y Wu","year":"2018","unstructured":"Wu Y, Lan J, Shu X, Ji C, Zhao K, Wang J, Zhang H (2018) ITTVIS: Interactive visualization of table tennis data. IEEE Trans Visualization and Comp Graphics 24(1):709\u2013718","journal-title":"IEEE Trans Visualization and Comp Graphics"},{"key":"560_CR43","unstructured":"Xia J, Chen W, Hou Y, Hu W, Huang X, Ebertk DS (2016) DimScanner: A relation-based visual exploration approach towards data dimension inspection. In: IEEE conference on visual analytics science and technology (VAST). pp 81\u201390"},{"issue":"12","key":"560_CR44","doi-asserted-by":"publisher","first-page":"1743","DOI":"10.1109\/TVCG.2014.2346913","volume":"20","author":"C Xie","year":"2014","unstructured":"Xie C, Chen W, Huang X, Hu Y, Barlowe S, Yang J (2014) VAET: A visual analytics approach for e-transactions time-series. IEEE Trans. Vis. Comput. Graphics 20(12):1743\u20131752","journal-title":"IEEE Trans. Vis. Comput. Graphics"},{"issue":"1","key":"560_CR45","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1109\/TVCG.2016.2598664","volume":"23","author":"P Xu","year":"2017","unstructured":"Xu P, Mei H, Ren L, Chen W (2017) ViDX: Visual diagnostics of assembly line performance in smart factories. IEEE Trans. Vis. Comput. Graphics 23(1):291\u2013300","journal-title":"IEEE Trans. Vis. Comput. Graphics"},{"key":"560_CR46","unstructured":"Young WC, Blumenstock JE, Fox EB, McCormick TH (2014) Detecting and classifying anomalous behavior in spatiotemporal network data. In: Proceedings of KDD workshop on learning about emergencies from social information (KDD-LESI 2014), pp 29\u201333"},{"key":"560_CR47","doi-asserted-by":"crossref","unstructured":"Yuan J, Zheng Y, Xie X (2012) Discovering regions of different functions in a city using human mobility and pois. In: Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining, pp 186\u2013194","DOI":"10.1145\/2339530.2339561"},{"issue":"12","key":"560_CR48","doi-asserted-by":"publisher","first-page":"121101","DOI":"10.1007\/s11432-016-0428-2","volume":"60","author":"T Zhang","year":"2017","unstructured":"Zhang T, Wang X, Li Z, Guo F, Ma Y, Chen W (2017) A survey of network anomaly visualization. Sc China Infor Sci 60(12):121101","journal-title":"Sc China Infor Sci"},{"key":"560_CR49","doi-asserted-by":"crossref","unstructured":"Zhao Z, Cheng Z, Hong L, Chi EH (2015) Improving user topic interest profiles by behavior factorization. In: Proceedings of the international conference on world wide web. ACM, pp 1406\u20131416","DOI":"10.1145\/2736277.2741656"},{"key":"560_CR50","doi-asserted-by":"crossref","unstructured":"Zheng Y, Liu T, Wang Y, Zhu Y, Liu Y, Chang E (2014) Diagnosing New York city\u2019s noises with ubiquitous data. In: Proceedings of the ACM international joint conference on pervasive and ubiquitous computing, pp 715\u2013725","DOI":"10.1145\/2632048.2632102"}],"container-title":["Data Mining and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10618-018-0560-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10618-018-0560-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10618-018-0560-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,17]],"date-time":"2020-05-17T13:49:34Z","timestamp":1589723374000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10618-018-0560-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,29]]},"references-count":50,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2018,7]]}},"alternative-id":["560"],"URL":"https:\/\/doi.org\/10.1007\/s10618-018-0560-3","relation":{},"ISSN":["1384-5810","1573-756X"],"issn-type":[{"value":"1384-5810","type":"print"},{"value":"1573-756X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3,29]]},"assertion":[{"value":"17 November 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 March 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 March 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}