{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,6]],"date-time":"2022-04-06T01:12:12Z","timestamp":1649207532677},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[1997,3]]},"abstract":"<jats:p> Interest in research into knowledge discovery in databases (KDD) has been growing continuously because of the rapid increase in the amount of information embedded in real-world data. Several systems have been proposed for studying the KDD process. One main task in a KDD system is to learn important and user-interesting knowledge from a set of collected data. Most proposed systems use simple machine learning methods to learn the pattern. This may result in efficient performance but the discovery quality is less useful. <\/jats:p><jats:p> In this paper, we propose a method to integrated a new and complicated machine learning method called inductive logic programming (ILP) to improve the KDD quality. Such integration shows how this new learning technique can be easily applied to a KDD system and how it can improve the representation of the discovery. In our system, we use user's queries to indicate the importance and interestingness of the target knowledge. The system has been implemented on a SUN workstation using the Sybase database system. Detailed examples are also provided to illustrate the benefit of integrating the ILP technique with the KDD system. <\/jats:p>","DOI":"10.1142\/s0218213097000050","type":"journal-article","created":{"date-parts":[[2003,10,22]],"date-time":"2003-10-22T09:26:17Z","timestamp":1066814777000},"page":"63-95","source":"Crossref","is-referenced-by-count":0,"title":["An ILP Based Knowledge Discovery System"],"prefix":"10.1142","volume":"06","author":[{"given":"Po-Chi","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Computer Science and Information Engineering, National Chiao-Tung University, Hsinchu, Taiwan 300, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ru-Fang","family":"Hsueh","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, National Chiao-Tung University, Hsinchu, Taiwan 300, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shu-Yuen","family":"Hwang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, National Chiao-Tung University, Hsinchu, Taiwan 300, R.O.C."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213097000050","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T17:29:49Z","timestamp":1565198989000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213097000050"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1997,3]]},"references-count":0,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1997,3]]}},"alternative-id":["10.1142\/S0218213097000050"],"URL":"https:\/\/doi.org\/10.1142\/s0218213097000050","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[1997,3]]}}}