{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T04:11:09Z","timestamp":1750911069366,"version":"3.41.0"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319681207"},{"type":"electronic","value":"9783319681214"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68121-4_20","type":"book-chapter","created":{"date-parts":[[2017,9,26]],"date-time":"2017-09-26T12:23:46Z","timestamp":1506428626000},"page":"191-199","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Functional Model of AIS Data Fusion"],"prefix":"10.1007","author":[{"given":"Yongming","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,9,27]]},"reference":[{"key":"20_CR1","unstructured":"Technical characteristics for an automatic identification system using time-division multiple access in the VHF maritime mobile band. International Telecommunications Union (ITU) Recommendation ITU-RM, pp. 1371\u20131374 (2010)"},{"key":"20_CR2","unstructured":"Safety of life at sea (solas) convention chapter V, regulation 19"},{"key":"20_CR3","unstructured":"Pallotta, G., Vespe, M., Bryant, K.: Traffic route extraction and anomaly detection from AIS data. In: Proceedings of the International COST MOVE Workshop on Moving Objects at Sea, Brest, France (2013)"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Mazzarella, F., Vespe, M., Damalas, D., et al.: Discovering vessel activities at sea using AIS data: mapping of fishing footprints. In: Proceedings of the 16th International Conference on Information Fusion, pp. 1\u20137 (2014)","DOI":"10.1109\/SDF.2015.7347707"},{"key":"20_CR5","unstructured":"Ristic, B., Scala, B.L., Morelande, M., et al.: Statistical analysis of motion patterns in AIS data: Anomaly detection and motion prediction. In: Proceedings of the 11th International Conference on Information Fusion, pp. 1\u20137 (2008)"},{"issue":"18","key":"20_CR6","doi-asserted-by":"publisher","first-page":"13426","DOI":"10.1016\/j.eswa.2012.05.060","volume":"39","author":"GKD Vries","year":"2012","unstructured":"Vries, G.K.D., Someren, M.: Machine learning for vessel trajectories using compression, alignments and domain knowledge. Expert Syst. Appl. 39(18), 13426\u201313439 (2012)","journal-title":"Expert Syst. Appl."},{"key":"20_CR7","doi-asserted-by":"crossref","unstructured":"Vespe, M., Visentini, I., Bryan, K., et al.: Unsupervised learning of maritime traffic patterns for anomaly detection. In: Proceedings of the 9th IET Data Fusion & Target Tracking Conference: Algorithms & Applications, pp. 1\u20135 (2012)","DOI":"10.1049\/cp.2012.0414"},{"key":"20_CR8","unstructured":"Guillarme, N.L., Lerouvreurt, X.: Unsupervised extraction of knowledge from S-AIS data for maritime situational awareness. In: Proceedings of the 16th International Conference on Information Fusion, pp. 2025\u20132032 (2013)"},{"issue":"6","key":"20_CR9","doi-asserted-by":"publisher","first-page":"2218","DOI":"10.3390\/e15062218","volume":"15","author":"G Pallotta","year":"2013","unstructured":"Pallotta, G., Vespe, M., Bryant, K.: Vessel pattern knowledge discovery from AIS data: a framework for anomaly detection and route prediction. Entropy 15(6), 2218\u20132245 (2013)","journal-title":"Entropy"},{"key":"20_CR10","unstructured":"Pallotta, G., Vespe, M., Bryant, K.: Traffic knowledge discovery from AIS data. In: Proceedings of the 16th International Conference on Information Fusion, pp. 1996\u20132003 (2013)"},{"key":"20_CR11","doi-asserted-by":"crossref","unstructured":"Deng, F., Guo, S., Deng, Y., et al.: Vessel track information mining using AIS data. In: Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI), pp. 1\u20136 (2014)","DOI":"10.1109\/MFI.2014.6997641"},{"key":"20_CR12","doi-asserted-by":"crossref","unstructured":"Kesseler, O., White, F.: Data Fusion Perspectives and Its Role in Information Processing. In: Handbook of Multisensor Data Fusion, pp. 15\u201343 (2009)","DOI":"10.1201\/9781420053098.ch2"},{"key":"20_CR13","doi-asserted-by":"crossref","unstructured":"Antony, R.: Data fusion automation: a top-down perspective. In: Handbook of Multisensor Data Fusion, pp. 137\u2013163 (2009)","DOI":"10.1201\/9781420053098.ch7"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Steinberg, A.N., Bowman, C.L.: Revisions to the JDL data fusion model. In: Handbook of Multisensor Data Fusion, pp. 45\u201367 (2009)","DOI":"10.1201\/9781420053098.ch3"},{"issue":"1","key":"20_CR15","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1109\/5.554205","volume":"85","author":"DL Hall","year":"1997","unstructured":"Hall, D.L., Llinas, J.: An introduction to multisensor data fusion. Proc. IEEE 85(1), 6\u201323 (1997)","journal-title":"Proc. IEEE"},{"key":"20_CR16","unstructured":"Website of AIS data services provided by CTTIC. http:\/\/www.myships.com\/ShipLBS\/index_en.html"},{"issue":"2","key":"20_CR17","first-page":"35","volume":"7","author":"H Greidanus","year":"2013","unstructured":"Greidanus, H., Alvarez, M., Eriksen, T., et al.: Basin - wide maritime awareness from multi - source ship reporting data. Trans. Nav. Int. J. Mar. Navig. Saf. Sea Transp. 7(2), 35\u201342 (2013)","journal-title":"Trans. Nav. Int. J. Mar. Navig. Saf. Sea Transp."},{"key":"20_CR18","unstructured":"Harati-mokhtari, A., Wall, A., Brooks, P., et al.: Automatic Identification System (AIS): A Human Factors Approach. http:\/\/217.26.101.136\/middenlimburg\/downloads\/documenten\/pdf\/ais_human_factors.pdf"},{"key":"20_CR19","unstructured":"Mazzarella, F., Alessandrini, A., Greidanus, H., et al.: Data fusion for wide-area maritime surveillance. In: Proceeding of COST MOVE Workshop on Moving Objects at Sea, Brest (2013)"},{"key":"20_CR20","unstructured":"Pallotta, G., Horn, S., Braca, P., et al.: Context-enhanced vessel prediction based on Ornstein-Uhlenbeck processes using historical AIS traffic patterns: real-world experimental results. In: Proceedings of 17th International Conference on Information Fusion, pp. 1\u20137 (2014)"},{"key":"20_CR21","unstructured":"Falcon, R., Abielmona, R., Blasch, E.: Behavioral learning of vessel types with fuzzy-rough decision trees. In: Proceedings of 17th International Conference on Information Fusion, pp. 1\u20138 (2104)"},{"key":"20_CR22","doi-asserted-by":"crossref","unstructured":"Lee, J.G., Han, J., Whang, K.Y.: Trajectory clustering: a partition-and-group framework. In: Proceedings of ACM SIGMOD International Conference on Management of data, pp. 593\u2013604 (2007)","DOI":"10.1145\/1247480.1247546"},{"key":"20_CR23","unstructured":"Hadzagic, M., St-hilaire, M.O., Webb, S., et al.: Maritime traffic data mining using R. In: Proceedings of 16th International Conference on Information Fusion, pp. 2041\u20132048 (2013)"},{"issue":"1","key":"20_CR24","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.oceaneng.2010.10.012","volume":"38","author":"JF Balmat","year":"2011","unstructured":"Balmat, J.F., Lafont, F., Maifret, R., et al.: A decision-making system to maritime risk assessment. Ocean Eng. 38(1), 171\u2013176 (2011)","journal-title":"Ocean Eng."},{"issue":"1","key":"20_CR25","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.ijar.2013.03.012","volume":"55","author":"S Mascaro","year":"2014","unstructured":"Mascaro, S., Nicholso, A.E., Korb, K.B.: Anomaly detection in vessel tracks using Bayesian networks. Int. J. Approx. Reas. 55(1), 84\u201398 (2014)","journal-title":"Int. J. Approx. Reas."},{"key":"20_CR26","doi-asserted-by":"crossref","unstructured":"Lane, R.O., Nevell, D.A., Hayward, S.D., et al.: Maritime anomaly detection and threat assessment. In: Proceedings of 13th International Conference on Information Fusion, pp. 1\u20138 (2010)","DOI":"10.1109\/ICIF.2010.5711998"},{"key":"20_CR27","unstructured":"Castaldo, F., Palmieri, F.A., Bastani, V., et al.: Abnormal vessel behavior detection in port areas based on Dynamic Bayesian Networks. In: Proceedings of 17th International Conference on Information Fusion, pp. 1\u20137 (2014)"},{"key":"20_CR28","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1017\/S0373463316000345","volume":"70","author":"L Wu","year":"2016","unstructured":"Wu, L., Xu, X.J., Wang, Q., et al.: Mapping global shipping density from AIS Data. J. Nav. 70, 67\u201381 (2016)","journal-title":"J. Nav."},{"key":"20_CR29","unstructured":"Wu, X.B., Wu, L., Xu, Y., et al.: Vessel trajectory partitioning based on hierarchical fusion of position data. In: Proceedings of 18th International Conference on Information Fusion, pp. 1230\u20131237 (2015)"},{"issue":"6","key":"20_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0130746","volume":"10","author":"F Natale","year":"2015","unstructured":"Natale, F., Gibin, M., Alessandrini, A., et al.: Mapping fishing effort through AIS data. PloS one 10(6), 1\u201316 (2015)","journal-title":"PloS one"}],"container-title":["IFIP Advances in Information and Communication Technology","Intelligence Science I"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68121-4_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T22:12:39Z","timestamp":1750889559000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-68121-4_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319681207","9783319681214"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68121-4_20","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"27 September 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligence Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 October 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icis2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/cie.shmtu.edu.cn\/icis-2017\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}