{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T18:52:02Z","timestamp":1767034322437,"version":"3.37.3"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2010,6,25]],"date-time":"2010-06-25T00:00:00Z","timestamp":1277424000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Knowl Inf Syst"],"published-print":{"date-parts":[[2011,6]]},"DOI":"10.1007\/s10115-010-0299-7","type":"journal-article","created":{"date-parts":[[2010,6,24]],"date-time":"2010-06-24T11:52:20Z","timestamp":1277380340000},"page":"345-365","source":"Crossref","is-referenced-by-count":43,"title":["Short text clustering by finding core terms"],"prefix":"10.1007","volume":"27","author":[{"given":"Xingliang","family":"Ni","sequence":"first","affiliation":[]},{"given":"Xiaojun","family":"Quan","sequence":"additional","affiliation":[]},{"given":"Zhi","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Liu","family":"Wenyin","sequence":"additional","affiliation":[]},{"given":"Bei","family":"Hua","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2010,6,25]]},"reference":[{"key":"299_CR1","doi-asserted-by":"crossref","unstructured":"Banerjee A, Merugu S, Dhillon I, Ghosh J (2004) Clustering with Bregaman Divergences. In: Proceedings of 4th SIAM international conference data mining (SDM 2004), pp 234\u2013245","DOI":"10.1137\/1.9781611972740.22"},{"key":"299_CR2","doi-asserted-by":"crossref","unstructured":"Banerjee S, Ramanathan K, Gupta A (2007) Clustering short text using Wikipedia. In: Proceedings of the 30th international ACM SIGIR conference on research and development in information retrieval (SIGIR 2007), pp 787\u2013788","DOI":"10.1145\/1277741.1277909"},{"key":"299_CR3","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1162\/jmlr.2003.3.4-5.993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet\u00a0allocation. J Mach Learn Res 3: 993\u20131022","journal-title":"J Mach Learn Res"},{"key":"299_CR4","doi-asserted-by":"crossref","unstructured":"Bolelli L, Ertekin S, Zhou D, Giles CL (2007) K-SVMeans: a hybrid clustering algorithm for multi-type interrelated datasets. In: Proceedings of international conference on web intelligence (WI 2007), pp 198\u2013204","DOI":"10.1109\/WI.2007.61"},{"key":"299_CR5","unstructured":"BuyAns (2009) http:\/\/www.buyans.com"},{"key":"299_CR6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10115-008-0159-x","volume":"20","author":"K Chen","year":"2009","unstructured":"Chen K, Liu L (2009) Best K: critical clustering structures in categorical datasets. Knowl Inf Syst 20: 1\u201333","journal-title":"Knowl Inf Syst"},{"key":"299_CR7","doi-asserted-by":"crossref","unstructured":"Chuang S, Chien L (2004) A practical web-based approach to generating topic hierarchy for text segments. In: Proceedings of the 13th ACM international conference on Information and knowledge management (CIKM 2004), pp 127\u2013136","DOI":"10.1145\/1031171.1031193"},{"key":"299_CR8","unstructured":"CLUTO (2009) http:\/\/glaros.dtc.umn.edu\/gkhome\/views\/cluto\/"},{"key":"299_CR9","doi-asserted-by":"crossref","unstructured":"Cutting DR, Karger DR, Pedersen JO (1993) Constant interaction-time scatter\/gather browsing of very large document collections. In: Proceedings of the 16th international ACM SIGIR conference on research and development in information retrieval, pp 126\u2013134","DOI":"10.1145\/160688.160706"},{"key":"299_CR10","doi-asserted-by":"crossref","unstructured":"Cutting DR, Karger DR, Pedersen P, Tukey JW (1992) Scatter\/gather: a cluster-based approach to browsing large document collections. In: Proceedings of the 5th international ACM SIGIR conference on research and development in information retrieval (SIGIR 1992), pp 318\u2013329","DOI":"10.1145\/133160.133214"},{"issue":"1","key":"299_CR11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"A Dempster","year":"1977","unstructured":"Dempster A, Laird N, Rubin D (1977) Maximum likelihood estimation from incomplete data via the EM algorithm. J R Stat Soc 39(1): 1\u201338","journal-title":"J R Stat Soc"},{"key":"299_CR12","doi-asserted-by":"crossref","unstructured":"Ding C, He X, Zha H (2001) A min-max cut algorithm for graph partitioning and data clustering. In: Proceedings of the international conference on data mining (ICDM 2001), pp 107\u2013114","DOI":"10.1109\/ICDM.2001.989507"},{"key":"299_CR13","unstructured":"Dittenbach M, Merkl D, Rauber A (2002) Organizing and exploring high dimensional data with the growing hierarchical self organizing map. In: Proceedings of the 1st international conference on fuzzy systems and knowledge discovery (FSKD 2002), vol 2, pp 626\u2013630"},{"key":"299_CR14","unstructured":"Ester M, Kriegal HP, Sander J, Xu X (1996) 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 (KDD 1996), pp 226\u2013231"},{"key":"299_CR15","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1007\/s10115-004-0177-2","volume":"8","author":"D Fragoudis","year":"2005","unstructured":"Fragoudis D, Meretakis D, Likothanassis S (2005) Best terms: an efficient feature-selection algorithm for text categorization. Knowl Inf Syst 8: 16\u201333","journal-title":"Knowl Inf Syst"},{"key":"299_CR16","unstructured":"Gluck MA, Corter JE (1985) Information, uncertainty, and the utility of categories. In: Proceedings of the 7th annual conference of the cognitive science society (CogSci 1985), pp 283\u2013287"},{"key":"299_CR17","unstructured":"Google (2009) http:\/\/www.google.com"},{"key":"299_CR18","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511574931","volume-title":"Algorithms on strings, trees, and sequences: computer science and computational biology","author":"D Gusfield","year":"1997","unstructured":"Gusfield D (1997) Algorithms on strings, trees, and sequences: computer science and computational biology. Cambridge University Press, Cambridge"},{"key":"299_CR19","doi-asserted-by":"crossref","unstructured":"Hachey B, Grover C (2005) Sequence modelling for sentence classification in a legal summarisation system. In: Proceedings of the 2005 ACM symposium on applied computing (SAC 2005), pp 292\u2013296","DOI":"10.1145\/1066677.1066746"},{"key":"299_CR20","unstructured":"ICTCLAS (2009) http:\/\/www.ictclas.org"},{"issue":"1","key":"299_CR21","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/s10115-005-0210-0","volume":"10","author":"R Jin","year":"2006","unstructured":"Jin R, Goswami A, Agrawal G (2006) Fast and exact out-of-core and distributed k-means clustering. Knowl Inf Syst 10(1): 17\u201340","journal-title":"Knowl Inf Syst"},{"key":"299_CR22","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316801","volume-title":"Finding groups in data: an introduction to cluster analysis","author":"L Kaufman","year":"1990","unstructured":"Kaufman L, Rousseeuw P (1990) Finding groups in data: an introduction to cluster analysis. John Wiley and Sons, New York"},{"key":"299_CR23","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1007\/s10115-003-0103-z","volume":"6","author":"H Kim","year":"2004","unstructured":"Kim H, Lee S (2004) An intelligent information system for organizing online text documents. Knowl Inf Syst 6: 125\u2013149","journal-title":"Knowl Inf Syst"},{"key":"299_CR24","doi-asserted-by":"crossref","unstructured":"Kummamuru K, Lotlikar R, Roy S, Singal K, Krishnapuram R (2004) A hierarchical monothetic document clustering algorithm for summarization and browsing search results. In: Proceedings of the 13th international conference on World Wide Web (WWW 2004), pp 658\u2013665","DOI":"10.1145\/988672.988762"},{"key":"299_CR25","doi-asserted-by":"crossref","unstructured":"Larsen B, Aone C (1999) Fast and effective text mining using linear-time document clustering. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining (SIGKDD 1999), pp 16\u201322","DOI":"10.1145\/312129.312186"},{"issue":"2","key":"299_CR26","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s11280-008-0051-3","volume":"12","author":"W Liu","year":"2009","unstructured":"Liu W, Hao T, Chen W, Feng M (2009) A web-based platform for user-interactive question-answering. In: World Wide Web: Internet Web Inf Syst 12(2): 107\u2013124","journal-title":"In: World Wide Web: Internet Web Inf Syst"},{"issue":"2","key":"299_CR27","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"SP Lloyd","year":"1982","unstructured":"Lloyd SP (1982) Least squares quantization in PCM. IEEE Trans Inf Theory 28(2): 129\u2013137","journal-title":"IEEE Trans Inf Theory"},{"key":"299_CR28","unstructured":"Lucene (2009) http:\/\/lucene.apache.org\/"},{"key":"299_CR29","unstructured":"MacQueen J (1967) Some method for classification and analysis of multivariate observations. In: Proceedings of 5th Berkeley symposium on mathematical statistics and probability I: (Statistics), pp 281\u2013297"},{"key":"299_CR30","unstructured":"Ng RT, Han J (1994) Clustering methods for spatial data mining. In: Proceedings of 20th international conference very large data bases (VLDB 1994), pp 144\u2013155"},{"key":"299_CR31","doi-asserted-by":"crossref","unstructured":"Ni X, Lu Z, Quan X, Liu W, Hua B (2009) Short text clustering for search results. In: Proceedings of the joint international conferences on Asia-Pacific web conference (APWeb) and web-age information management (WAIM). LNCS, pp 584\u2013589","DOI":"10.1007\/978-3-642-00672-2_55"},{"issue":"2","key":"299_CR32","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1007\/s10115-003-0141-6","volume":"7","author":"C Ordonez","year":"2005","unstructured":"Ordonez C, Omiecinski E (2005) Accelerating EM clustering to find high-quality solutions. Knowl Inf Syst 7(2): 135\u2013157","journal-title":"Knowl Inf Syst"},{"key":"299_CR33","doi-asserted-by":"crossref","unstructured":"Phan X, Nguyen L, Horiguchi S (2008) Learn to classify short and sparse text and web with hidden topics from large-scale data collections. In: Proceedings of the 17th international conference on World Wide Web (WWW 2008), pp 91\u2013100","DOI":"10.1145\/1367497.1367510"},{"key":"299_CR34","doi-asserted-by":"crossref","unstructured":"Quan X, Liu G, Lu Z, Ni X, Wenyin L (2009) Short text similarity based on probabilistic topics. Knowl Inf Syst. doi: 10.1007\/s10115-009-0250-y , published online first","DOI":"10.1007\/s10115-009-0250-y"},{"issue":"2","key":"299_CR35","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1007\/s101150200002","volume":"4","author":"Z Su","year":"2002","unstructured":"Su Z, Yang Q, Zhang H, Xu X, Hu Y, Ma S (2002) Correlation-based web document clustering for adaptive web interface design. Knowl Inf Syst 4(2): 151\u2013167","journal-title":"Knowl Inf Syst"},{"key":"299_CR36","doi-asserted-by":"crossref","unstructured":"Treeratpituk P, Callan J (2006) An experimental study on automatically labeling hierarchical clusters using statistical features. In: Proceedings of the 29th international ACM SIGIR conference on research and development in information retrieval, pp 707\u2013708","DOI":"10.1145\/1148170.1148328"},{"key":"299_CR37","doi-asserted-by":"crossref","unstructured":"Treeratpituk P, Callan J (2006) Automatically labeling hierarchical clusters. In: Proceedings of the 7th international conference on digital government research (dg.o 2006), pp 167\u2013176","DOI":"10.1145\/1146598.1146650"},{"key":"299_CR38","doi-asserted-by":"crossref","unstructured":"Wang X, Zhai C (2007) Learn from web search logs to organize search results. In: Proceedings of the 15th international ACM SIGIR conference on research and development in information retrieval, pp 87\u201394","DOI":"10.1145\/1277741.1277759"},{"key":"299_CR39","unstructured":"Wikipedia (2009) http:\/\/www.wikipedia.org"},{"key":"299_CR40","unstructured":"Yahoo! Answers (2009) http:\/\/answers.yahoo.com"},{"key":"299_CR41","unstructured":"Yahoo! Groups (2009) http:\/\/groups.yahoo.com"},{"key":"299_CR42","doi-asserted-by":"crossref","unstructured":"Zamir O, Etzioni O (1999) Grouper: a dynamic clustering interface to web search results. In: Proceedings of the 8th international conference on World Wide Web (WWW1999), pp 1361\u20131374","DOI":"10.1016\/S1389-1286(99)00054-7"},{"key":"299_CR43","doi-asserted-by":"crossref","unstructured":"Zamir O, Etzioni O (1998) Web document clustering: a feasibility demonstration. In: Proceedings of the 21th international ACM SIGIR conference on research and development in information retrieval (SIGIR 1998), pp 46\u201354","DOI":"10.1145\/290941.290956"},{"key":"299_CR44","doi-asserted-by":"crossref","unstructured":"Zeng H, He Q, Chen Z, Ma W, Ma J (2004) Learning to cluster web search results. In: Proceedings of the 27th international ACM SIGIR conference on research and development in information retrieval (SIGIR 2004), pp 210\u2013217","DOI":"10.1145\/1008992.1009030"},{"key":"299_CR45","doi-asserted-by":"crossref","unstructured":"Zhang D, Lee WS (2003) Question classification using support vector machines. In: Proceedings of the 26th international ACM SIGIR conference on research and development in information retrieval (SIGIR 2003), pp 26\u201332","DOI":"10.1145\/860435.860443"},{"key":"299_CR46","doi-asserted-by":"crossref","unstructured":"Zhao Y, Karypis G (2002) Evaluation of hierarchical clustering algorithms for document datasets. In: Proceedings of the 7th international conference on Information and knowledge management (CIKM 2002), pp 515\u2013524","DOI":"10.21236\/ADA439551"},{"issue":"3","key":"299_CR47","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1007\/s10115-004-0194-1","volume":"8","author":"S Zhong","year":"2005","unstructured":"Zhong S, Ghosh J (2005) Generative model-based document clustering: a comparative study. Knowl Inf Syst 8(3): 374\u2013384","journal-title":"Knowl Inf Syst"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-010-0299-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10115-010-0299-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-010-0299-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T06:21:53Z","timestamp":1740205313000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10115-010-0299-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,6,25]]},"references-count":47,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2011,6]]}},"alternative-id":["299"],"URL":"https:\/\/doi.org\/10.1007\/s10115-010-0299-7","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"type":"print","value":"0219-1377"},{"type":"electronic","value":"0219-3116"}],"subject":[],"published":{"date-parts":[[2010,6,25]]}}}