{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,8]],"date-time":"2025-04-08T21:01:12Z","timestamp":1744146072663,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030161477"},{"type":"electronic","value":"9783030161484"}],"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\/978-3-030-16148-4_23","type":"book-chapter","created":{"date-parts":[[2019,4,4]],"date-time":"2019-04-04T02:50:37Z","timestamp":1554346237000},"page":"293-305","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Spatio-Temporal Event Detection from Multiple Data Sources"],"prefix":"10.1007","author":[{"given":"Aman","family":"Ahuja","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ashish","family":"Baghudana","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edward A.","family":"Fox","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chandan K.","family":"Reddy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,3,22]]},"reference":[{"key":"23_CR1","doi-asserted-by":"crossref","unstructured":"Ahuja, A., Wei, W., Carley, K.M.: Microblog sentiment topic model. In: 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), pp. 1031\u20131038. IEEE (2016)","DOI":"10.1109\/ICDMW.2016.0149"},{"key":"23_CR2","doi-asserted-by":"crossref","unstructured":"Ahuja, A., Wei, W., Lu, W., Carley, K.M., Reddy, C.K.: A probabilistic geographical aspect-opinion model for geo-tagged microblogs. In: 2017 IEEE International Conference on Data Mining (ICDM), pp. 721\u2013726. IEEE (2017)","DOI":"10.1109\/ICDM.2017.82"},{"issue":"1\u20132","key":"23_CR3","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1020281327116","volume":"50","author":"C Andrieu","year":"2003","unstructured":"Andrieu, C., De Freitas, N., Doucet, A., Jordan, M.I.: An introduction to MCMC for machine learning. Mach. Learn. 50(1\u20132), 5\u201343 (2003)","journal-title":"Mach. Learn."},{"key":"23_CR4","unstructured":"Aramaki, E., Maskawa, S., Morita, M.: Twitter catches the flu: detecting influenza epidemics using Twitter. In: Proceedings of the Conference on Empirical methods in Natural Language Processing, pp. 1568\u20131576. Association for Computational Linguistics (2011)"},{"key":"23_CR5","unstructured":"Benson, E., Haghighi, A., Barzilay, R.: Event discovery in social media feeds. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1, pp. 389\u2013398. Association for Computational Linguistics (2011)"},{"issue":"Jan","key":"23_CR6","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"23_CR7","unstructured":"Eisenstein, J., O\u2019Connor, B., Smith, N.A., Xing, E.P.: A latent variable model for geographic lexical variation. In: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp. 1277\u20131287. Association for Computational Linguistics (2010)"},{"issue":"suppl 1","key":"23_CR8","doi-asserted-by":"publisher","first-page":"5228","DOI":"10.1073\/pnas.0307752101","volume":"101","author":"TL Griffiths","year":"2004","unstructured":"Griffiths, T.L., Steyvers, M.: Finding scientific topics. Proc. Natl. Acad. Sci. 101(suppl 1), 5228\u20135235 (2004)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"23_CR9","doi-asserted-by":"crossref","unstructured":"Hofmann, T.: Probabilistic latent semantic indexing. In: Proceedings of the 22nd annual international ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 50\u201357. ACM (1999)","DOI":"10.1145\/312624.312649"},{"key":"23_CR10","doi-asserted-by":"crossref","unstructured":"Hong, L., Ahmed, A., Gurumurthy, S., Smola, A.J., Tsioutsiouliklis, K.: Discovering geographical topics in the Twitter stream. In: Proceedings of the 21st International Conference on World Wide Web, pp. 769\u2013778. ACM (2012)","DOI":"10.1145\/2187836.2187940"},{"key":"23_CR11","doi-asserted-by":"crossref","unstructured":"Kumaran, G., Allan, J.: Text classification and named entities for new event detection. In: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 297\u2013304. ACM (2004)","DOI":"10.1145\/1008992.1009044"},{"key":"23_CR12","doi-asserted-by":"crossref","unstructured":"Mathioudakis, M., Koudas, N.: TwitterMonitor: trend detection over the Twitter stream. In: Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data, pp. 1155\u20131158. ACM (2010)","DOI":"10.1145\/1807167.1807306"},{"key":"23_CR13","doi-asserted-by":"crossref","unstructured":"Matuszka, T., Vinceller, Z., Laki, S.: On a keyword-lifecycle model for real-time event detection in social network data. In: 2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom), pp. 453\u2013458. IEEE (2013)","DOI":"10.1109\/CogInfoCom.2013.6719289"},{"key":"23_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/11760146_9","volume-title":"Intelligence and Security Informatics","author":"D Newman","year":"2006","unstructured":"Newman, D., Chemudugunta, C., Smyth, P., Steyvers, M.: Analyzing entities and topics in news articles using statistical topic models. In: Mehrotra, S., Zeng, D.D., Chen, H., Thuraisingham, B., Wang, F.-Y. (eds.) ISI 2006. LNCS, vol. 3975, pp. 93\u2013104. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11760146_9"},{"key":"23_CR15","unstructured":"Newman, D., Lau, J.H., Grieser, K., Baldwin, T.: Automatic evaluation of topic coherence. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 100\u2013108. Association for Computational Linguistics (2010)"},{"key":"23_CR16","doi-asserted-by":"crossref","unstructured":"Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes Twitter users: real-time event detection by social sensors. In: Proceedings of the 19th International Conference on World Wide Web, pp. 851\u2013860. ACM (2010)","DOI":"10.1145\/1772690.1772777"},{"key":"23_CR17","doi-asserted-by":"crossref","unstructured":"Sizov, S.: GeoFolk: latent spatial semantics in web 2.0 social media. In: Proceedings of the Third ACM International Conference on Web Search and Data Mining, pp. 281\u2013290. ACM (2010)","DOI":"10.1145\/1718487.1718522"},{"key":"23_CR18","doi-asserted-by":"crossref","unstructured":"Wei, W., Joseph, K., Lo, W., Carley, K.M.: A Bayesian graphical model to discover latent events from Twitter. In: ICWSM, pp. 503\u2013512 (2015)","DOI":"10.1609\/icwsm.v9i1.14586"},{"key":"23_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1007\/978-3-642-20161-5_34","volume-title":"Advances in Information Retrieval","author":"WX Zhao","year":"2011","unstructured":"Zhao, W.X., et al.: Comparing Twitter and traditional media using topic models. In: Clough, P., et al. (eds.) ECIR 2011. LNCS, vol. 6611, pp. 338\u2013349. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-20161-5_34"},{"key":"23_CR20","doi-asserted-by":"crossref","unstructured":"Zubiaga, A., Spina, D., Amig\u00f3, E., Gonzalo, J.: Towards real-time summarization of scheduled events from Twitter streams. In: Proceedings of the 23rd ACM Conference on Hypertext and Social Media, pp. 319\u2013320. ACM (2012)","DOI":"10.1145\/2309996.2310053"}],"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\/978-3-030-16148-4_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T12:28:42Z","timestamp":1709814522000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-16148-4_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030161477","9783030161484"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-16148-4_23","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)"}}]}}