{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T23:10:42Z","timestamp":1725577842231},"reference-count":23,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2006,4,1]],"date-time":"2006-04-01T00:00:00Z","timestamp":1143849600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2006,4]]},"DOI":"10.1109\/tkde.2006.1599384","type":"journal-article","created":{"date-parts":[[2006,3,15]],"date-time":"2006-03-15T21:13:13Z","timestamp":1142457193000},"page":"448-459","source":"Crossref","is-referenced-by-count":18,"title":["Multitype features coselection for Web document clustering"],"prefix":"10.1109","volume":"18","author":[{"family":"Shen Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Zheng Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Yong Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Wei-Ying Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"284","article-title":"Toward Optimal Feature Selection","author":"koller","year":"1996","journal-title":"Proc Int'l Conf Machine Learning (ICML '96)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/312129.312186"},{"key":"ref12","first-page":"488","article-title":"An Evaluation on Feature Selection for Text Clustering","author":"liu","year":"2003","journal-title":"Proc Int'l Conf Machine Learning (ICML '03)"},{"key":"ref13","author":"martin","year":"2002","journal-title":"Feature Saliency in Unsupervised Learning"},{"key":"ref14","author":"montague","year":"2002","journal-title":"Metasearch Data Fusion for Document Retrieval"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/354756.354805"},{"key":"ref16","author":"salton","year":"1989","journal-title":"Retrieval of Information by Computer"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/505282.505283"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/asi.4630240406"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/860435.860486"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/S1088-467X(97)00008-5"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/0471200611"},{"key":"ref6","first-page":"59","article-title":"Experiments on the Use of Feature Selection and Negative Evidence in Automated Text Categorization","author":"galavotti","year":"2000","journal-title":"Proc Eur Conf on Digital Libraries (ECDL)"},{"key":"ref5","first-page":"110","article-title":"Feature Selection for Clustering","author":"dash","year":"2000","journal-title":"Proc 2000 Pacific-Asia Conf Knowledge Discovery and Data Mining"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/34.824819"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-9473(02)00070-1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(97)00063-5"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/279943.279962"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/asi.5090140103"},{"key":"ref20","article-title":"Link Based Clustering of Web Search Results","author":"wang","year":"2001","journal-title":"Proc Second Int'l Conf Web-Age Information Management (WAIM '01)"},{"key":"ref22","first-page":"412","article-title":"A Comparative Study on Feature Selection in Text Categorization","author":"yang","year":"1997","journal-title":"Proc Int'l Conf Machine Learning (ICML '97)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/234828.234846"},{"key":"ref23","article-title":"Optimally Combining Positive and Negative Features for Text Categorization","author":"zheng","year":"2003","journal-title":"Proc Int'l Conf Machine Learning Workshop"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/69\/33630\/01599384.pdf?arnumber=1599384","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:34:19Z","timestamp":1642005259000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/1599384\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,4]]},"references-count":23,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2006.1599384","relation":{},"ISSN":["1041-4347"],"issn-type":[{"value":"1041-4347","type":"print"}],"subject":[],"published":{"date-parts":[[2006,4]]}}}