{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T04:17:23Z","timestamp":1727756243595},"publisher-location":"Singapore","reference-count":19,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819755516","type":"print"},{"value":"9789819755523","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-981-97-5552-3_13","type":"book-chapter","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T07:04:15Z","timestamp":1727679855000},"page":"203-213","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Streaming Trajectory Segmentation Based on\u00a0Stay-Point Detection"],"prefix":"10.1007","author":[{"given":"Yangyang","family":"Sun","sequence":"first","affiliation":[]},{"given":"Fei","family":"Meng","sequence":"additional","affiliation":[]},{"given":"Ruiyuan","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yongxin","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Jiang","family":"Zhong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,1]]},"reference":[{"issue":"11","key":"13_CR1","doi-asserted-by":"publisher","first-page":"4883","DOI":"10.1109\/TITS.2019.2950416","volume":"21","author":"Z Cui","year":"2019","unstructured":"Cui, Z., Henrickson, K., Ke, R., Wang, Y.: Traffic graph convolutional recurrent neural network: a deep learning framework for network-scale traffic learning and forecasting. IEEE Trans. Intell. Transp. Syst. 21(11), 4883\u20134894 (2019)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"13_CR2","unstructured":"Etemad, M., J\u00fanior, A.S., Hoseyni, A., Rose, J., Matwin, S.: A trajectory segmentation algorithm based on interpolation-based change detection strategies. In: EDBT\/ICDT Workshops, pp.\u00a058 (2019)"},{"issue":"2","key":"13_CR3","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/s10707-020-00408-9","volume":"25","author":"M Etemad","year":"2020","unstructured":"Etemad, M., Soares, A., Etemad, E., Rose, J., Torgo, L., Matwin, S.: SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels. GeoInformatica 25(2), 269\u2013289 (2020). https:\/\/doi.org\/10.1007\/s10707-020-00408-9","journal-title":"GeoInformatica"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"He, H., et al.: TraSS: efficient trajectory similarity search based on key-value data stores. In: ICDE, pp. 2306\u20132318. IEEE (2022)","DOI":"10.1109\/ICDE53745.2022.00218"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"He, H., Xu, Z., Li, R., Bao, J., Li, T., Zheng, Y.: TMan: a high-performance trajectory data management system based on key-value stores. In: ICDE, pp. 4951\u20134964. IEEE (2024)","DOI":"10.1109\/ICDE60146.2024.00376"},{"key":"13_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1007\/978-3-030-59416-9_3","volume-title":"Database Systems for Advanced Applications","author":"R Li","year":"2020","unstructured":"Li, R., et al.: Discovering real-time reachable area using trajectory connections. In: Nah, Y., Cui, B., Lee, S.-W., Yu, J.X., Moon, Y.-S., Whang, S.E. (eds.) DASFAA 2020. LNCS, vol. 12113, pp. 36\u201353. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-59416-9_3"},{"issue":"1","key":"13_CR7","first-page":"1013","volume":"35","author":"R Li","year":"2021","unstructured":"Li, R., et al.: TrajMesa: a distributed NoSQL-based trajectory data management system. IEEE Trans. Knowl. Data Eng. 35(1), 1013\u20131027 (2021)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Li, R., et al.: TrajMesa: a distributed NoSQL storage engine for big trajectory data. In: 2020 IEEE 36th International Conference on Data Engineering (ICDE), pp. 2002\u20132005. IEEE (2020)","DOI":"10.1109\/ICDE48307.2020.00224"},{"issue":"1","key":"13_CR9","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1109\/TBDATA.2018.2868936","volume":"6","author":"R Li","year":"2018","unstructured":"Li, R., et al.: Efficient path query processing over massive trajectories on the cloud. IEEE Trans. Big Data 6(1), 66\u201379 (2018)","journal-title":"IEEE Trans. Big Data"},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Li, R., Ruan, S., Bao, J., Li, Y., Wu, Y., Zheng, Y.: Querying massive trajectories by path on the cloud. In: ACM SIGSPATIAL, pp.\u00a01\u20134 (2017)","DOI":"10.1145\/3139958.3139996"},{"issue":"2","key":"13_CR11","first-page":"342","volume":"59","author":"R Li","year":"2022","unstructured":"Li, R., Zhu, H., Wang, R., Chen, C., Zheng, Y.: Fast and distributed map-matching based on contraction hierarchies. J. Comput. Res. Devel. 59(2), 342\u2013361 (2022)","journal-title":"J. Comput. Res. Devel."},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Markos, C., James, J., Da\u00a0Xu, R.Y.: Capturing uncertainty in unsupervised GPS trajectory segmentation using Bayesian deep learning. In: AAAI, vol.\u00a035, pp. 390\u2013398 (2021)","DOI":"10.1609\/aaai.v35i1.16115"},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Resheff, Y.S.: Online trajectory segmentation and summary with applications to visualization and retrieval. In: Big Data, pp. 1832\u20131840. IEEE (2016)","DOI":"10.1109\/BigData.2016.7840801"},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Ruan, S., Li, R., Bao, J., He, T., Zheng, Y.: CloudTP: a cloud-based flexible trajectory preprocessing framework. In: ICDE, pp. 1601\u20131604. IEEE (2018)","DOI":"10.1109\/ICDE.2018.00186"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Ruan, S., et al.: Discovering actual delivery locations from mis-annotated couriers\u2019 trajectories. In: ICDE, pp. 3241\u20133253. IEEE (2022)","DOI":"10.1109\/ICDE53745.2022.00307"},{"issue":"1","key":"13_CR16","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1186\/s40537-023-00799-0","volume":"10","author":"B Zaman","year":"2023","unstructured":"Zaman, B., Altan, D., Marijan, D., Kholodna, T.: Reactive buffering window trajectory segmentation: RBW-TS. J. Big Data 10(1), 123 (2023)","journal-title":"J. Big Data"},{"issue":"3","key":"13_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2743025","volume":"6","author":"Y Zheng","year":"2015","unstructured":"Zheng, Y.: Trajectory data mining: an overview. ACM Trans. Intell. Syst. Technol. (TIST) 6(3), 1\u201341 (2015)","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"issue":"2","key":"13_CR18","first-page":"32","volume":"33","author":"Y Zheng","year":"2010","unstructured":"Zheng, Y., et al.: GeoLife: a collaborative social networking service among user, location and trajectory. IEEE Data Eng. Bull. 33(2), 32\u201339 (2010)","journal-title":"IEEE Data Eng. Bull."},{"issue":"1","key":"13_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1921591.1921596","volume":"5","author":"Y Zheng","year":"2011","unstructured":"Zheng, Y., Zhang, L., Ma, Z., Xie, X., Ma, W.Y.: Recommending friends and locations based on individual location history. ACM Trans. Web (TWEB) 5(1), 1\u201344 (2011)","journal-title":"ACM Trans. Web (TWEB)"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-5552-3_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T07:08:40Z","timestamp":1727680120000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5552-3_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819755516","9789819755523"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5552-3_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gifu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2024a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dasfaa2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}