{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T05:40:01Z","timestamp":1747201201599,"version":"3.40.5"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319147161"},{"type":"electronic","value":"9783319147178"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-14717-8_10","type":"book-chapter","created":{"date-parts":[[2014,12,17]],"date-time":"2014-12-17T14:17:28Z","timestamp":1418825848000},"page":"123-136","source":"Crossref","is-referenced-by-count":4,"title":["TweeProfiles: Detection of Spatio-temporal Patterns on Twitter"],"prefix":"10.1007","author":[{"given":"Tiago","family":"Cunha","sequence":"first","affiliation":[]},{"given":"Carlos","family":"Soares","sequence":"additional","affiliation":[]},{"given":"Eduarda","family":"Mendes Rodrigues","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"10_CR1","doi-asserted-by":"crossref","unstructured":"Lee, C.-H., Yang, H.-C., Chien, T.-F., Wen, W.-S.: A Novel Approach for Event Detection by Mining Spatio-temporal Information on Microblogs. In: 2011 International Conference on Advances in Social Networks Analysis and Mining, pp. 254\u2013259 (2011)","DOI":"10.1109\/ASONAM.2011.74"},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"Bosnjak, M., Oliveira, E.: TwitterEcho: a distributed focused crawler to support open research with twitter data. In: Proc. of the Intl. Workshop on Social Media Applications in News and Entertainment (SMANE 2012), ACM 2012 International World Wide Web Conference (2012)","DOI":"10.1145\/2187980.2188266"},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Golder, S.: Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter. HICSS 2010 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences, 1\u201310 (2010)","DOI":"10.1109\/HICSS.2010.412"},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"Abel, F., Gao, Q., Houben, G.J., Tao, K.: Analyzing Temporal Dynamics in Twitter Profiles for Personalized Recommendations in the Social Web. In: Proceedings of ACM WebSci 2011, 3rd International Conference on Web Science (2011)","DOI":"10.1145\/2527031.2527040"},{"key":"10_CR5","volume-title":"Data Mining: Concepts and Techniques","author":"J. Han","year":"2006","unstructured":"Han, J., Kamber, M., Pei, J.: Data Mining: Concepts and Techniques, 3rd edn. Elsevier Science & Technology, Massachussets (2006)","edition":"3"},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"Ramakrishnan, R., T. Zhang, M.L.: BIRCH: an efficient data clustering method for very large databases. In: Procedings SIGMOD 1996 Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, vol.\u00a01, pp. 103\u2013114 (1996)","DOI":"10.1145\/235968.233324"},{"issue":"8","key":"10_CR7","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1109\/2.781637","volume":"32","author":"G. Karypis","year":"1999","unstructured":"Karypis, G., Han, E.H., Kumar, V.: Chameleon: Hierarchical clustering using dynamic modeling. Computer\u00a032(8), 68\u201375 (1999)","journal-title":"Computer"},{"key":"10_CR8","unstructured":"Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, pp. 226\u2013231 (1996)"},{"key":"10_CR9","unstructured":"Hinneburg, A., Keim, D.A.: An efficient approach to clustering in large multimedia databases with noise. In: Proceedings of 4th International Conference in Knowledge Discovery and Data Mining (KDD 1998), pp. 58\u201365 (1998)"},{"key":"10_CR10","unstructured":"Wang, W., Yang, J., Muntz, R.: STING: A statistical information grid approach to spatial data mining. In: Proceedings of the 23rd International Conference on Very Large Data Bases, pp. 186\u2013195 (1997)"},{"key":"10_CR11","doi-asserted-by":"crossref","unstructured":"Akcora, C.G., Carminati, B., Ferrari, E.: Network and profile based measures for user similarities on social networks. In: 2011 IEEE International Conference on Information Reuse & Integration, pp. 292\u2013298 (2011)","DOI":"10.1109\/IRI.2011.6009562"},{"key":"10_CR12","unstructured":"Dekker, A.: Conceptual Distance in Social Network Analysis. Journal of Social Structure\u00a06 (2005)"},{"key":"10_CR13","doi-asserted-by":"crossref","unstructured":"Ryu, H., Lease, M., Woodward, N.: Finding and exploring memes in social media. In: Proceedings of the 23rd ACM conference on Hypertext and social media - HT 2012, p. 295 (2012)","DOI":"10.1145\/2309996.2310044"},{"key":"10_CR14","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071","volume-title":"Introduction to Information Retrieval","author":"C.D. Manning","year":"2008","unstructured":"Manning, C.D., Raghavan, P., Schtze, H.: Introduction to Information Retrieval. Cambridge University Press, New York (2008)"},{"issue":"3","key":"10_CR15","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1016\/j.cag.2007.01.023","volume":"31","author":"A.A. Lopes","year":"2007","unstructured":"Lopes, A.A., Pinho, R., Paulovich, F.V., Minghim, R.: Visual text mining using association rules. Computers & Graphics\u00a031(3), 316\u2013326 (2007)","journal-title":"Computers & Graphics"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Rangrej, A., Kulkarni, S., Tendulkar, A.V.: Comparative study of clustering techniques for short text documents. In: Proceedings of the 20th International Conference Companion on World Wide Web - WWW 2011 (2011)","DOI":"10.1145\/1963192.1963249"},{"issue":"10","key":"10_CR17","doi-asserted-by":"publisher","first-page":"9623","DOI":"10.1016\/j.eswa.2012.02.136","volume":"39","author":"C.-H. Lee","year":"2012","unstructured":"Lee, C.-H.: Mining spatio-temporal information on microblogging streams using a density-based online clustering method. Expert Systems with Applications\u00a039(10), 9623\u20139641 (2012)","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"10_CR18","doi-asserted-by":"crossref","first-page":"39","DOI":"10.3233\/JAD-2009-0168","volume":"13","author":"A. Mahdiraji","year":"2009","unstructured":"Mahdiraji, A.: Clustering data stream: A survey of algorithms. International Journal of Knowledge-Based and Intelligent Engineering Systems\u00a013(2), 39\u201344 (2009)","journal-title":"International Journal of Knowledge-Based and Intelligent Engineering Systems"},{"issue":"1","key":"10_CR19","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1089\/big.2013.1508","volume":"1","author":"F. Provost","year":"2013","unstructured":"Provost, F., Fawcett, T.: Data Science and its Relationship to Big Data and Data-Driven Decision Making. Big Data\u00a01(1), 51\u201359 (2013)","journal-title":"Big Data"}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-14717-8_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T05:13:31Z","timestamp":1747199611000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-14717-8_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319147161","9783319147178"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-14717-8_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]}}}