{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,2,19]],"date-time":"2023-02-19T00:51:46Z","timestamp":1676767906376},"reference-count":6,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2005,6]]},"abstract":"<jats:p>Knowledge Discovery in Knowledge Base (KDK) opens new horizons for research. KDK and KDD (Knowledge Discovery in Database) are the different cognitive field and discovery process. In most people's view, they are independent each other. In this paper we can summarize the following tasks: Firstly, we discussed that two kinds of the process model and mining algorithm of KDK based on facts and rules in knowledge base. Secondly, we proves that the inherent relation between KDD and KDK (i.e. double-basis fusion mechanism). Thirdly, we gained the new process model and implementation technology of KDK*. Finally, the imitation experimentation proved that the validity of above mechanism and process model.<\/jats:p>","DOI":"10.1142\/s021821300500217x","type":"journal-article","created":{"date-parts":[[2005,6,1]],"date-time":"2005-06-01T12:56:03Z","timestamp":1117630563000},"page":"399-423","source":"Crossref","is-referenced-by-count":12,"title":["KDK BASED DOUBLE-BASIS FUSION MECHANISM AND ITS PROCESS MODEL"],"prefix":"10.1142","volume":"14","author":[{"given":"BINGRU","family":"YANG","sequence":"first","affiliation":[{"name":"Information Engineering School, University of Science and Technology Beijing, Beijing, 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"JIANGTAO","family":"SHEN","sequence":"additional","affiliation":[{"name":"Information Engineering School, University of Science and Technology Beijing, Beijing, 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"WEI","family":"SONG","sequence":"additional","affiliation":[{"name":"Information Engineering School, University of Science and Technology Beijing, Beijing, 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1145\/980972.981004"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1145\/846183.846191"},{"key":"rf4","first-page":"145","volume":"1","author":"Dejong G. F.","journal-title":"Machine Learning"},{"key":"rf6","volume-title":"Knowledge Discovery Based on Inner Mechanism: Construction, Realization and Application","author":"Yang Bingru","year":"2004"},{"key":"rf7","doi-asserted-by":"crossref","unstructured":"R.\u00a0Carnap, Studies in Inductive Logic and Probability I, eds. R.\u00a0Carnap and R. C.\u00a0Jeffrey (University of California Press, Berkeley, 1971)\u00a0pp. 33\u2013165.","DOI":"10.1525\/9780520334250"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1002\/int.4550070705"}],"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S021821300500217X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T11:47:12Z","timestamp":1626004032000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S021821300500217X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,6]]},"references-count":6,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2005,6]]}},"alternative-id":["10.1142\/S021821300500217X"],"URL":"https:\/\/doi.org\/10.1142\/s021821300500217x","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,6]]}}}