{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:52:24Z","timestamp":1742914344586,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319635637"},{"type":"electronic","value":"9783319635644"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-63564-4_22","type":"book-chapter","created":{"date-parts":[[2017,8,2]],"date-time":"2017-08-02T00:23:01Z","timestamp":1501633381000},"page":"276-284","source":"Crossref","is-referenced-by-count":3,"title":["Identifying Evolutionary Topic Temporal Patterns Based on Bursty Phrase Clustering"],"prefix":"10.1007","author":[{"given":"Yixuan","family":"Liu","sequence":"first","affiliation":[]},{"given":"Zihao","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Mizuho","family":"Iwaihara","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,8,3]]},"reference":[{"key":"22_CR1","doi-asserted-by":"crossref","unstructured":"Aji, A., Wang, Y., Agichtein, E., et al.: Using the past to score the present: extending term weighting models through revision history analysis. In: Proceedings 19th ACM International Conference on Information and Knowledge Management, pp. 629\u2013638 (2010)","DOI":"10.1145\/1871437.1871519"},{"issue":"6","key":"22_CR2","doi-asserted-by":"crossref","first-page":"1609","DOI":"10.1016\/j.measurement.2012.02.015","volume":"45","author":"S Adwan","year":"2012","unstructured":"Adwan, S., Arof, H.: On improving dynamic time warping for pattern matching. Measurement 45(6), 1609\u20131620 (2012)","journal-title":"Measurement"},{"issue":"4","key":"22_CR3","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1145\/1924421.1924442","volume":"54","author":"A Doan","year":"2011","unstructured":"Doan, A., Ramakrishnan, R., Halevy, A.Y.: Crowdsourcing systems on the world-wide web. Commun. ACM 54(4), 86\u201396 (2011)","journal-title":"Commun. ACM"},{"key":"22_CR4","unstructured":"http:\/\/opennlp.apache.org\/"},{"key":"22_CR5","doi-asserted-by":"crossref","unstructured":"Kalogeratos, A., Zagorisios, P., Likas, A.: Improving text stream clustering using term burstiness and co-burstiness. In: Proceedings of the 9th Hellenic Conference Artificial Intelligence, p. 16. ACM (2016)","DOI":"10.1145\/2903220.2903229"},{"issue":"4","key":"22_CR6","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1023\/A:1024940629314","volume":"7","author":"J Kleinberg","year":"2003","unstructured":"Kleinberg, J.: Bursty and hierarchical structure in streams. Data Mining Knowl. Discov. 7(4), 373\u2013397 (2003)","journal-title":"Data Mining Knowl. Discov."},{"key":"22_CR7","doi-asserted-by":"crossref","unstructured":"Liu, Y., Gao, Z., Iwaihara, M.: Identifying evolutionary topic temporal patterns based on bursty phrase clustering. DEIM Forum C5-1, March 2017","DOI":"10.1007\/978-3-319-63564-4_22"},{"key":"22_CR8","unstructured":"A Press: Wikipedia and Artificial Intelligence: An Evolving Synergy"},{"key":"22_CR9","unstructured":"Suba\u0161ic, I., Berendt, B.: From bursty patterns to bursty facts: the effectiveness of temporal text mining for news. In: Proceedings of the ECAI (2010)"},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Tran, T., Ceroni, A., Georgescu, M., et al: Wikipevent: leveraging Wikipedia edit history for event detection. In: International Conference on Web Information Systems Engineering. Springer International Publishing, pp. 90\u2013108 (2014)","DOI":"10.1007\/978-3-319-11746-1_7"},{"key":"22_CR11","unstructured":"Wikipedia: \nhttp:\/\/en.wikipedia.org\/wiki\/Wikipedia"},{"key":"22_CR12","doi-asserted-by":"crossref","unstructured":"Yang, J., Leskovec, J.: Patterns of temporal variation in online media. In: Proceedings of the 4th ACM International Conference on Web Search and Data Mining, pp. 177\u2013186 (2011)","DOI":"10.1145\/1935826.1935863"}],"container-title":["Lecture Notes in Computer Science","Web and Big Data"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-63564-4_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,8,8]],"date-time":"2017-08-08T04:14:20Z","timestamp":1502165660000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-63564-4_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319635637","9783319635644"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-63564-4_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}