{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T21:10:57Z","timestamp":1648588257036},"reference-count":19,"publisher":"Elsevier BV","issue":"8","license":[{"start":{"date-parts":[[2006,12,1]],"date-time":"2006-12-01T00:00:00Z","timestamp":1164931200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Knowledge-Based Systems"],"published-print":{"date-parts":[[2006,12]]},"DOI":"10.1016\/j.knosys.2006.05.004","type":"journal-article","created":{"date-parts":[[2006,7,8]],"date-time":"2006-07-08T11:20:27Z","timestamp":1152357627000},"page":"765-771","source":"Crossref","is-referenced-by-count":3,"title":["A new relational learning system using novel rule selection strategies"],"prefix":"10.1016","volume":"19","author":[{"given":"Mahmut","family":"Uludag","sequence":"first","affiliation":[]},{"given":"Mehmet R.","family":"Tolun","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.knosys.2006.05.004_bib1","article-title":"Developing tightly coupled data mining applications on a relational database system","author":"Agrawal","year":"1996","journal-title":"KDD-96"},{"key":"10.1016\/j.knosys.2006.05.004_bib2","series-title":"Proceedings of the 13th International Conference on Inductive Logic Programming","article-title":"A multi-relational decision tree learning algorithm: implementation and experiments","author":"Atramentov","year":"2003"},{"key":"10.1016\/j.knosys.2006.05.004_bib3","doi-asserted-by":"crossref","unstructured":"H. Blockeel, M. Sebag, Scalability and efficiency in multi-relational data mining, ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) Explorations Special Issue on Multi-Relational Data Mining, 5 (1) (2003).","DOI":"10.1145\/959242.959246"},{"key":"10.1016\/j.knosys.2006.05.004_bib4","doi-asserted-by":"crossref","DOI":"10.1145\/1015330.1015334","article-title":"A comparative study on methods for reducing myopia of hill-climbing search in multi-relational learning","author":"Castillo","year":"2004","journal-title":"Proceedings of the Twenty-First International Conference on Machine Learning"},{"key":"10.1016\/j.knosys.2006.05.004_bib5","doi-asserted-by":"crossref","unstructured":"J. Cheng, M. Krogel, J. Sese, C. Hatsiz, S. Morishita, H. Hayashi, D. Page, KDD Cup 2001 Report, ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) Explorations, 3 (2) (2002).","DOI":"10.1145\/507515.507523"},{"key":"10.1016\/j.knosys.2006.05.004_bib6","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1007\/BF00116835","article-title":"The CN2 induction algorithm","volume":"3","author":"Clark","year":"1989","journal-title":"Machine Learning"},{"key":"10.1016\/j.knosys.2006.05.004_bib7","first-page":"49","article-title":"Frequent item-set counting across multiple tables","author":"Crestana-Jensen","year":"2000","journal-title":"Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining"},{"key":"10.1016\/j.knosys.2006.05.004_bib8","series-title":"Proceedings of the 7th International Workshop on Inductive Logic Programming","first-page":"125","article-title":"Mining association rules with multiple relations","volume":"vol. 1297","author":"Dehaspe","year":"1997"},{"key":"10.1016\/j.knosys.2006.05.004_bib9","series-title":"Relational Data Mining","first-page":"189","article-title":"Discovery of relational association rules","author":"Dehaspe","year":"2001"},{"key":"10.1016\/j.knosys.2006.05.004_bib10","doi-asserted-by":"crossref","unstructured":"P. Domingos, Prospects and challenges for multi-relational data mining, SIGKDD Explorations, Special Issue on Multi-Relational Data Mining, 5 (1) (2003).","DOI":"10.1145\/959242.959252"},{"issue":"1","key":"10.1016\/j.knosys.2006.05.004_bib11","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1073\/pnas.93.1.438","article-title":"Structure\u2013activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming","volume":"93","author":"King","year":"1996","journal-title":"Proceedings of National Academy of Science, United States of America, 9"},{"key":"10.1016\/j.knosys.2006.05.004_bib12","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1007\/978-3-540-48247-5_46","article-title":"Multi-relational decision tree induction","author":"Knobbe","year":"1999","journal-title":"Proceedings of the 3rd European Conference on Principles of Data Mining and Knowledge Discovery"},{"key":"10.1016\/j.knosys.2006.05.004_bib13","series-title":"Inductive logic programming","author":"Muggleton","year":"1992"},{"key":"10.1016\/j.knosys.2006.05.004_bib14","unstructured":"A. Netz, S. Chaudhuri, U. Fayyad, Integration of data mining and relational databases, Proceedings of the 26th International Conference on Very Large Databases, Cairo, Egypt (2000)."},{"key":"10.1016\/j.knosys.2006.05.004_bib15","unstructured":"J. Neville, D. Jensen, Supporting relational knowledge discovery: lessons in architecture and algorithm design, Proceedings of the Data Mining Lessons Learned Workshop, 19th International Conference on Machine Learning (2002)."},{"key":"10.1016\/j.knosys.2006.05.004_bib16","article-title":"Scaling up inductive algorithms: an overview","author":"Provost","year":"1997","journal-title":"KDD-97"},{"key":"10.1016\/j.knosys.2006.05.004_bib17","series-title":"Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations","author":"Witten","year":"2000"},{"key":"10.1016\/j.knosys.2006.05.004_bib18","doi-asserted-by":"crossref","DOI":"10.1007\/3-540-63223-9_108","article-title":"An algorithm for multi-relational discovery of subgroups","author":"Wrobel","year":"1997","journal-title":"Proceedings of Principles of Data Mining and Knowledge Discovery-97"},{"key":"10.1016\/j.knosys.2006.05.004_bib19","series-title":"Proceedings of 18th International Symposium on Computer and Information Sciences","first-page":"252","article-title":"A multi-relational rule discovery system","volume":"vol. 2869","author":"Uludag","year":"2003"}],"container-title":["Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0950705106000931?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0950705106000931?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,4,19]],"date-time":"2019-04-19T22:56:09Z","timestamp":1555714569000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0950705106000931"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,12]]},"references-count":19,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2006,12]]}},"alternative-id":["S0950705106000931"],"URL":"https:\/\/doi.org\/10.1016\/j.knosys.2006.05.004","relation":{},"ISSN":["0950-7051"],"issn-type":[{"value":"0950-7051","type":"print"}],"subject":[],"published":{"date-parts":[[2006,12]]}}}