{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T10:46:10Z","timestamp":1742985970889,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030161446"},{"type":"electronic","value":"9783030161453"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-16145-3_18","type":"book-chapter","created":{"date-parts":[[2019,4,4]],"date-time":"2019-04-04T02:50:37Z","timestamp":1554346237000},"page":"229-241","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Recovering DTW Distance Between Noise Superposed NHPP"],"prefix":"10.1007","author":[{"given":"Yongzhe","family":"Chang","sequence":"first","affiliation":[]},{"given":"Zhidong","family":"Li","sequence":"additional","affiliation":[]},{"given":"Bang","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Ling","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Arcot","family":"Sowmya","sequence":"additional","affiliation":[]},{"given":"Yang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Fang","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,22]]},"reference":[{"issue":"4","key":"18_CR1","doi-asserted-by":"publisher","first-page":"2184","DOI":"10.1109\/TIT.2016.2533397","volume":"62","author":"E Bacry","year":"2016","unstructured":"Bacry, E., Muzy, J.F.: First-and second-order statistics characterization of Hawkes processes and non-parametric estimation. IEEE Trans. Inf. Theory 62(4), 2184\u20132202 (2016)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"18_CR2","doi-asserted-by":"crossref","unstructured":"Bokhari, S., Geltner, D., van de Minne, A.: A Bayesian structural time series approach to constructing rent indexes: an application to Indian office markets (2017)","DOI":"10.2139\/ssrn.3068857"},{"key":"18_CR3","unstructured":"Chen, Y., et al.: The UCR time series classification archive. www.cs.ucr.edu\/~eamonn\/time_series_data (2015)"},{"issue":"11","key":"18_CR4","doi-asserted-by":"publisher","first-page":"2138","DOI":"10.3390\/su9112138","volume":"9","author":"V Del Giudice","year":"2017","unstructured":"Del Giudice, V., De Paola, P., Forte, F., Manganelli, B.: Real estate appraisals with bayesian approach and Markov chain hybrid Monte Carlo method: an application to a central urban area of Naples. Sustainability 9(11), 2138 (2017)","journal-title":"Sustainability"},{"key":"18_CR5","doi-asserted-by":"crossref","unstructured":"Du, N., Farajtabar, M., Ahmed, A., Smola, A.J., Song, L.: Dirichlet-Hawkes processes with applications to clustering continuous-time document streams. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 219\u2013228. ACM (2015)","DOI":"10.1145\/2783258.2783411"},{"key":"18_CR6","unstructured":"Ganeshapillai, G., Guttag, J., Lo, A.: Learning connections in financial time series. In: International Conference on Machine Learning, pp. 109\u2013117 (2013)"},{"issue":"10","key":"18_CR7","doi-asserted-by":"publisher","first-page":"1855","DOI":"10.1080\/03610920601126571","volume":"36","author":"M Ghitany","year":"2007","unstructured":"Ghitany, M., Al-Awadhi, F., Alkhalfan, L.: Marshall-Olkin extended Lomax distribution and its application to censored data. Commun. Stat.-Theory Methods 36(10), 1855\u20131866 (2007)","journal-title":"Commun. Stat.-Theory Methods"},{"issue":"1","key":"18_CR8","doi-asserted-by":"publisher","first-page":"19","DOI":"10.3390\/rs8010019","volume":"8","author":"X Guan","year":"2016","unstructured":"Guan, X., Huang, C., Liu, G., Meng, X., Liu, Q.: Mapping rice cropping systems in Vietnam using an NDVI-based time-series similarity measurement based on DTW distance. Remote Sens. 8(1), 19 (2016)","journal-title":"Remote Sens."},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Lin, P., Zhang, B., Guo, T., Wang, Y., Chen, F.: Interaction point processes via infinite branching model. In: AAAI, pp. 1853\u20131859 (2016)","DOI":"10.1609\/aaai.v30i1.10248"},{"issue":"1","key":"18_CR10","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1080\/03772063.1988.11436710","volume":"34","author":"S Nakagawa","year":"1988","unstructured":"Nakagawa, S., Nakanishi, H.: Speaker-independent English consonant and Japanese word recognition by a stochastic dynamic time warping method. IETE J. Res. 34(1), 87\u201395 (1988)","journal-title":"IETE J. Res."},{"issue":"4","key":"18_CR11","doi-asserted-by":"publisher","first-page":"049901","DOI":"10.1117\/1.2819119","volume":"16","author":"NM Nasrabadi","year":"2007","unstructured":"Nasrabadi, N.M.: Pattern recognition and machine learning. J. Electron. Imaging 16(4), 049901 (2007)","journal-title":"J. Electron. Imaging"},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Rakthanmanon, T., et al.: Searching and mining trillions of time series subsequences under dynamic time warping. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 262\u2013270. ACM (2012)","DOI":"10.1145\/2339530.2339576"},{"issue":"1","key":"18_CR13","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/TASSP.1978.1163055","volume":"26","author":"H Sakoe","year":"1978","unstructured":"Sakoe, H., Chiba, S.: Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans. Acoust. Speech Sig. Process. 26(1), 43\u201349 (1978)","journal-title":"IEEE Trans. Acoust. Speech Sig. Process."},{"issue":"2","key":"18_CR14","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1007\/s10618-012-0250-5","volume":"26","author":"X Wang","year":"2013","unstructured":"Wang, X., Mueen, A., Ding, H., Trajcevski, G., Scheuermann, P., Keogh, E.: Experimental comparison of representation methods and distance measures for time series data. Data Min. Knowl. Discov. 26(2), 275\u2013309 (2013)","journal-title":"Data Min. Knowl. Discov."},{"key":"18_CR15","unstructured":"Wu, J.: Reliability analysis for small wind turbines using Bayesian hierarchical modelling (2017)"},{"key":"18_CR16","unstructured":"Xu, H., Luo, D., Zha, H.: Learning Hawkes processes from short doubly-censored event sequences. arXiv preprint arXiv:1702.07013 (2017)"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-16145-3_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T13:03:30Z","timestamp":1710335010000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-16145-3_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030161446","9783030161453"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-16145-3_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"22 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Macau","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.pakdd2019.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft Conf. Man. Toolkit CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"542","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"137","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"25% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.79","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5.85","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"In addition, there were 31 PAKDD 2019 Workshops' papers accepted for publication","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}