{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T11:16:31Z","timestamp":1743074191021,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319252544"},{"type":"electronic","value":"9783319252551"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","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":[[2015]]},"DOI":"10.1007\/978-3-319-25255-1_34","type":"book-chapter","created":{"date-parts":[[2015,9,24]],"date-time":"2015-09-24T01:39:46Z","timestamp":1443058786000},"page":"411-423","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Learning Similarity Functions for Urban Events Detection by Mining Hotline Phone Records"],"prefix":"10.1007","author":[{"given":"Pengjie","family":"Ren","sequence":"first","affiliation":[]},{"given":"Peng","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Zhumin","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Xiaomeng","family":"Song","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,11,13]]},"reference":[{"key":"34_CR1","doi-asserted-by":"crossref","unstructured":"Rana, R., Chou, C., Kanhere, S., Bulusu, N., Hu, W.: Ear-phone: an end-to-end participatory urban noise mapping system. In: IPSN 2010 (2010)","DOI":"10.1145\/1791212.1791226"},{"key":"34_CR2","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Liu, T., Wang, Y., Zhu, Y., Chang, E.: Diagnosing new york citys noises with ubiquitous data. In: Ubicomp 2014 (2014)","DOI":"10.1145\/2632048.2632102"},{"key":"34_CR3","doi-asserted-by":"crossref","unstructured":"Xie, Z., Yan, J.: Kernel density estimation of traffic accidents in a network space. Computers, Environment and Urban Systems (2008)","DOI":"10.1016\/j.compenvurbsys.2008.05.001"},{"key":"34_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/978-3-642-39527-7_20","volume-title":"Web-Age Information Management","author":"J. Li","year":"2013","unstructured":"Li, J., Zhou, Y., Shang, W., Cao, C., Shen, Z., Yang, F., Xiao, X., Guo, D.: A cloud computation architecture for unconventional emergency management. In: Gao, Y., Shim, K., Ding, Z., Jin, P., Ren, Z., Xiao, Y., Liu, A., Qiao, S. (eds.) WAIM 2013 Workshops 2013. LNCS, vol.\u00a07901, pp. 187\u2013198. Springer, Heidelberg (2013)"},{"key":"34_CR5","doi-asserted-by":"crossref","unstructured":"Spina, D., Gonzalo, J., Amig\u00f3, E.: Learning similarity functions for topic detection in online reputation monitoring. In: SIGIR 2014 (2014)","DOI":"10.1145\/2600428.2609621"},{"key":"34_CR6","doi-asserted-by":"crossref","unstructured":"Artiles, J., Amig\u00f3, E., Gonzalo, J.: The role of named entities in web people search. In: EMNLP 2009 (2009)","DOI":"10.3115\/1699571.1699582"},{"key":"34_CR7","unstructured":"Xia, T.: Study on chinese words semantic similarity computation. Computer Engineering (2007)"},{"key":"34_CR8","doi-asserted-by":"crossref","unstructured":"Frey, B., Dueck, D.: Clustering by passing messages between data points. Science (2007)","DOI":"10.1126\/science.1136800"},{"key":"34_CR9","doi-asserted-by":"crossref","unstructured":"Achtert, E., Goldhofer, S., Kriegel, H.-P., Schubert, E., Zimek, A.: Evaluation of clusterings\u2013metrics and visual support. In: ICDE 2012 (2012)","DOI":"10.1109\/ICDE.2012.128"},{"key":"34_CR10","doi-asserted-by":"crossref","unstructured":"Amig\u00f3, E., Gonzalo, J., Artiles, J., Verdejo, F.: A comparison of extrinsic clustering evaluation metrics based on formal constraints. Information Retrieval (2009)","DOI":"10.1007\/s10791-009-9106-z"},{"key":"34_CR11","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1007\/978-3-540-45167-9_14","volume-title":"Learning Theory and Kernel Machines","author":"M. Meil\u0103","year":"2003","unstructured":"Meil\u0103, M.: Comparing clusterings by the variation of information. In: Sch\u00f6lkopf, B., Warmuth, M.K. (eds.) COLT\/Kernel 2003. LNCS (LNAI), vol.\u00a02777, pp. 173\u2013187. Springer, Heidelberg (2003)"},{"key":"34_CR12","doi-asserted-by":"crossref","unstructured":"Zhao, Y., Karypis, G.: Empirical and theoretical comparisons of selected criterion functions for document clustering. Machine Learning (2004)","DOI":"10.21236\/ADA439425"},{"key":"34_CR13","series-title":"AISC","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1007\/978-3-642-18029-3_18","volume-title":"Advances in Intelligent Web Mastering \u2013 3","author":"H. Rezankova","year":"2011","unstructured":"Rezankova, H., Loster, T., Husek, D.: Evaluation of categorical data clustering. In: Mugellini, E., Szczepaniak, P.S., Pettenati, M.C., Sokhn, M. (eds.) AWIC 2011. AISC, vol.\u00a086, pp. 173\u2013182. Springer, Heidelberg (2011)"},{"key":"34_CR14","doi-asserted-by":"crossref","unstructured":"Rangrej, A., Kulkarni, S., Tendulkar, A.: Comparative study of clustering techniques for short text documents. In: WWW 2011 (2011)","DOI":"10.1145\/1963192.1963249"},{"key":"34_CR15","unstructured":"Weng, J., Lee, B.: Event detection in twitter"},{"key":"34_CR16","unstructured":"Diao, Q., Jiang, J., Zhu, F., Lim, E.: Finding bursty topics from microblogs. In: ACL 2012 (2012)"},{"key":"34_CR17","doi-asserted-by":"crossref","unstructured":"Gao, Z., Song, Y., Liu, S., Wang, H., Wei, H., Chen, Y., Cui, W.: Tracking and connecting topics via incremental hierarchical dirichlet processes. In: ICDM 2011","DOI":"10.1109\/ICDM.2011.148"},{"key":"34_CR18","doi-asserted-by":"crossref","unstructured":"Aggarwal, C., Zhai, C.: A survey of text clustering algorithms. In: Mining Text Data 2012 (2012)","DOI":"10.1007\/978-1-4614-3223-4"},{"key":"34_CR19","doi-asserted-by":"crossref","unstructured":"Gupta, M., Li, R., Chang, K.: Towards a social media analytics platform: event detection and user profiling for twitter. In: WWW 2014 (2014)","DOI":"10.1145\/2567948.2577264"},{"key":"34_CR20","doi-asserted-by":"crossref","unstructured":"AlSumait, L., Barbar\u00e1, D., Domeniconi, C.: On-line lda: Adaptive topic models for mining text streams with applications to topic detection and tracking. In: ICDM 2008 (2008)","DOI":"10.1109\/ICDM.2008.140"},{"key":"34_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1007\/978-3-642-38562-9_51","volume-title":"Web-Age Information Management","author":"X. Wang","year":"2013","unstructured":"Wang, X., Zhu, F., Jiang, J., Li, S.: Real time event detection in twitter. In: Wang, J., Xiong, H., Ishikawa, Y., Xu, J., Zhou, J. (eds.) WAIM 2013. LNCS, vol.\u00a07923, pp. 502\u2013513. Springer, Heidelberg (2013)"},{"key":"34_CR22","doi-asserted-by":"crossref","unstructured":"Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes twitter users: real-time event detection by social sensors. In: WWW 2010 (2010)","DOI":"10.1145\/1772690.1772777"},{"key":"34_CR23","unstructured":"Becker, H., Naaman, M., Gravano, L.: Beyond trending topics: Real-world event identification on twitter"},{"key":"34_CR24","doi-asserted-by":"crossref","unstructured":"Chen, F., Neill, D.: Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphs. In: SIGKDD 2014 (2014)","DOI":"10.1145\/2623330.2623619"},{"key":"34_CR25","doi-asserted-by":"crossref","unstructured":"Rozenshtein, P., Anagnostopoulos, A., Gionis, A., Tatti, N.: Event detection in activity networks. In: SIGKDD 2014 (2014)","DOI":"10.1145\/2623330.2623674"}],"container-title":["Lecture Notes in Computer Science","Web Technologies and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-25255-1_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,30]],"date-time":"2019-05-30T21:29:09Z","timestamp":1559251749000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-25255-1_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319252544","9783319252551"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-25255-1_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"13 November 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}