{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T08:29:36Z","timestamp":1743064176850,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319930398"},{"type":"electronic","value":"9783319930404"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-319-93040-4_35","type":"book-chapter","created":{"date-parts":[[2018,6,16]],"date-time":"2018-06-16T13:29:41Z","timestamp":1529155781000},"page":"439-451","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["An Efficient Ranking-Centered Density-Based Document Clustering Method"],"prefix":"10.1007","author":[{"given":"Wathsala Anupama","family":"Mohotti","sequence":"first","affiliation":[]},{"given":"Richi","family":"Nayak","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,6,17]]},"reference":[{"key":"35_CR1","doi-asserted-by":"crossref","unstructured":"Anastasiu, D.C., Tagarelli, A., Karypis, G.: Document clustering: the next frontier. In: Aggarwal, C.C., Reddy, C.K. (eds.) Data Clustering: Algorithms and Applications, pp. 305\u2013328 (2013)","DOI":"10.1201\/9781315373515-13"},{"key":"35_CR2","first-page":"569","volume":"30","author":"W Zhao","year":"2012","unstructured":"Zhao, W., He, Q., Ma, H., Shi, Z.: Effective semi-supervised document clustering via active learning with instance-level constraints. KAIS 30, 569\u2013587 (2012)","journal-title":"KAIS"},{"key":"35_CR3","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1007\/978-3-319-09259-1_11","volume-title":"Partitional Clustering Algorithms","author":"N Toma\u0161ev","year":"2015","unstructured":"Toma\u0161ev, N., Radovanovi\u0107, M., Mladeni\u0107, D., Ivanovi\u0107, M.: Hubness-based clustering of high-dimensional data. In: Celebi, M.Emre (ed.) Partitional Clustering Algorithms, pp. 353\u2013386. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-09259-1_11"},{"key":"35_CR4","unstructured":"Ester, M., Kriegel, H.-P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD, pp. 226\u2013231 (1996)"},{"key":"35_CR5","series-title":"Network Theory and Applications","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/978-1-4613-0227-8_3","volume-title":"Clustering and Information Retrieval","author":"L Ert\u00f6z","year":"2003","unstructured":"Ert\u00f6z, L., Steinbach, M., Kumar, V.: Finding topics in collections of documents: a shared nearest neighbor approach. Clustering and Information Retrieval. Network Theory and Applications, vol. 11, pp. 83\u2013103. Springer, Boston (2003). https:\/\/doi.org\/10.1007\/978-1-4613-0227-8_3"},{"key":"35_CR6","doi-asserted-by":"publisher","first-page":"1025","DOI":"10.1109\/T-C.1973.223640","volume":"100","author":"RA Jarvis","year":"1973","unstructured":"Jarvis, R.A., Patrick, E.A.: Clustering using a similarity measure based on shared near neighbors. IEEE Trans. Comput. 100, 1025\u20131034 (1973)","journal-title":"IEEE Trans. Comput."},{"key":"35_CR7","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1137\/1.9781611972733.5","volume-title":"Proceedings of the 2003 SIAM International Conference on Data Mining","author":"Levent Ert\u00f6z","year":"2003","unstructured":"Ert\u00f6z, L., Steinbach, M., Kumar, V.: Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data. In: SIAM, pp. 47\u201358. SIAM (2003)"},{"key":"35_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1007\/978-3-319-26187-4_16","volume-title":"Web Information Systems Engineering \u2013 WISE 2015","author":"T Sutanto","year":"2015","unstructured":"Sutanto, T., Nayak, R.: Semi-supervised document clustering via loci. In: Wang, J., Cellary, W., Wang, D., Wang, H., Chen, S.-C., Li, T. (eds.) WISE 2015. LNCS, vol. 9419, pp. 208\u2013215. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-26187-4_16"},{"key":"35_CR9","doi-asserted-by":"crossref","unstructured":"Broder, A., Garcia-Pueyo, L., Josifovski, V., Vassilvitskii, S., Venkatesan, S.: Scalable k-means by ranked retrieval. In: 7th WSDM, pp. 233\u2013242. ACM (2014)","DOI":"10.1145\/2556195.2556260"},{"key":"35_CR10","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/s10791-011-9173-9","volume":"15","author":"N Fuhr","year":"2012","unstructured":"Fuhr, N., Lechtenfeld, M., Stein, B., Gollub, T.: The optimum clustering framework: implementing the cluster hypothesis. Inf. Retr. 15, 93\u2013115 (2012)","journal-title":"Inf. Retr."},{"key":"35_CR11","doi-asserted-by":"crossref","unstructured":"Zhang, J., Long, X., Suel, T.: Performance of compressed inverted list caching in search engines. In: 17th WWW, pp. 387\u2013396. ACM (2008)","DOI":"10.1145\/1367497.1367550"},{"key":"35_CR12","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/0020-0271(71)90051-9","volume":"7","author":"N Jardine","year":"1971","unstructured":"Jardine, N., van Rijsbergen, C.J.: The use of hierarchic clustering in information retrieval. Inf. Storage Retr. 7, 217\u2013240 (1971)","journal-title":"Inf. Storage Retr."},{"key":"35_CR13","doi-asserted-by":"crossref","unstructured":"Zhang, B., Li, H., Liu, Y., Ji, L., Xi, W., Fan, W., Chen, Z., Ma, W.-Y.: Improving web search results using affinity graph. In: 28th ACM SIGIR, pp. 504\u2013511. ACM (2005)","DOI":"10.1145\/1076034.1076120"},{"key":"35_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1007\/978-3-642-41230-1_9","volume-title":"Web Information Systems Engineering \u2013 WISE 2013","author":"J Hou","year":"2013","unstructured":"Hou, J., Nayak, R.: The heterogeneous cluster ensemble method using hubness for clustering text documents. In: Lin, X., Manolopoulos, Y., Srivastava, D. (eds.) WISE 2013. LNCS, vol. 8180, pp. 102\u2013110. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-41230-1_9"},{"key":"35_CR15","doi-asserted-by":"publisher","first-page":"2756","DOI":"10.1162\/neco.2007.19.10.2756","volume":"19","author":"CJ Lin","year":"2007","unstructured":"Lin, C.J.: Projected gradient methods for nonnegative matrix factorization. Neural Comput. 19, 2756\u20132779 (2007)","journal-title":"Neural Comput."},{"key":"35_CR16","first-page":"61801","volume":"51","author":"B Hajek","year":"1983","unstructured":"Hajek, B.: Adaptive transmission strategies and routing in mobile radio networks. Urbana 51, 61801 (1983)","journal-title":"Urbana"}],"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\/978-3-319-93040-4_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T10:57:42Z","timestamp":1710327462000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-93040-4_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319930398","9783319930404"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-93040-4_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"17 June 2018","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":"Melbourne, VIC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/prada-research.net\/pakdd18\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}