{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:05:32Z","timestamp":1750309532452,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T00:00:00Z","timestamp":1730160000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Intelligence Advanced Research Projects Activity (IARPA)","award":["140D0423C0057"],"award-info":[{"award-number":["140D0423C0057"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,29]]},"DOI":"10.1145\/3681765.3698452","type":"proceedings-article","created":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T13:06:43Z","timestamp":1730898403000},"page":"43-51","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["ReeFRAME: Reeb Graph based Trajectory Analysis Framework to Capture Top-Down and Bottom-Up Patterns of Life"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7737-4110","authenticated-orcid":false,"given":"Chandrakanth","family":"Gudavalli","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of California Santa Barbara, Santa Barbara, California, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9982-2968","authenticated-orcid":false,"given":"Bowen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of California Santa Barbara, Santa Barbara, California, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-0023-701X","authenticated-orcid":false,"given":"Connor","family":"Levenson","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of California Santa Barbara, Santa Barbara, California, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5815-3185","authenticated-orcid":false,"given":"Kin Gwn","family":"Lore","sequence":"additional","affiliation":[{"name":"RTX Technology Research Center, East Hartford, Connecticut, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2804-3611","authenticated-orcid":false,"given":"B. S.","family":"Manjunath","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of California Santa Barbara, Santa Barbara, California, USA"}]}],"member":"320","published-online":{"date-parts":[[2024,11,6]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Parallel computing on aws","author":"Services Amazon Web","year":"2024","unstructured":"Amazon Web Services. Parallel computing on aws, 2024. Accessed: 2024-08-17."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40104-6_19"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/17489725.2010.537449"},{"key":"e_1_3_2_1_4_1","volume-title":"Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907","author":"Kipf Thomas N","year":"2016","unstructured":"Thomas N Kipf and Max Welling. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907, 2016."},{"key":"e_1_3_2_1_5_1","volume-title":"A survey on deep learning for human mobility. ACM Computing Surveys (CSUR), 55(1):1--44","author":"Luca Massimiliano","year":"2021","unstructured":"Massimiliano Luca, Gianni Barlacchi, Bruno Lepri, and Luca Pappalardo. A survey on deep learning for human mobility. ACM Computing Surveys (CSUR), 55(1):1--44, 2021."},{"key":"e_1_3_2_1_6_1","volume-title":"Deep learning for anomaly detection: A review. ACM computing surveys (CSUR), 54(2):1--38","author":"Pang Guansong","year":"2021","unstructured":"Guansong Pang, Chunhua Shen, Longbing Cao, and Anton Van Den Hengel. Deep learning for anomaly detection: A review. ACM computing surveys (CSUR), 54(2):1--38, 2021."},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the National Academy of Sciences (PNAS), 106(36)","author":"Pentland A","year":"2009","unstructured":"A Pentland, N Eagle, and D Lazer. Inferring social network structure using mobile phone data. Proceedings of the National Academy of Sciences (PNAS), 106(36):15274--15278, 2009."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-22363-6_10"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3306049"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-47292-3_16"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/38.90568"},{"key":"e_1_3_2_1_12_1","volume-title":"Knowledge graph embedding: A survey of approaches and applications","author":"Wang Quan","year":"2017","unstructured":"Quan Wang, Zhendong Mao, Bin Wang, and Li Guo. Knowledge graph embedding: A survey of approaches and applications. IEEE transactions on knowledge and data engineering, 29(12):2724--2743, 2017."},{"key":"e_1_3_2_1_13_1","first-page":"309","volume-title":"Applications and Worksharing: 15th EAI International Conference, CollaborateCom 2019, London, UK, August 19-22, 2019, Proceedings 15","author":"Zeng Jun","year":"2019","unstructured":"Jun Zeng, Xin He, Haoran Tang, and Junhao Wen. A next location predicting approach based on a recurrent neural network and self-attention. In Collaborative Computing: Networking, Applications and Worksharing: 15th EAI International Conference, CollaborateCom 2019, London, UK, August 19-22, 2019, Proceedings 15, pages 309--322. Springer, 2019."},{"key":"e_1_3_2_1_14_1","volume-title":"Reespot: Reeb graph models semantic patterns of normalcy in human trajectories","author":"Zhang Bowen","year":"2024","unstructured":"Bowen Zhang, S. Shailja, Chandrakanth Gudavalli, Connor Levenson, Amil Khan, and B. S. Manjunath. Reespot: Reeb graph models semantic patterns of normalcy in human trajectories, 2024."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.12.047"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367532"}],"event":{"name":"GeoAnomalies '24: 1st ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"],"location":"Atlanta GA USA","acronym":"GeoAnomalies '24"},"container-title":["Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3681765.3698452","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3681765.3698452","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:16Z","timestamp":1750295896000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3681765.3698452"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,29]]},"references-count":16,"alternative-id":["10.1145\/3681765.3698452","10.1145\/3681765"],"URL":"https:\/\/doi.org\/10.1145\/3681765.3698452","relation":{},"subject":[],"published":{"date-parts":[[2024,10,29]]},"assertion":[{"value":"2024-11-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}