{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T18:01:51Z","timestamp":1725559311317},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540261575"},{"type":"electronic","value":"9783540319337"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11423270_7","type":"book-chapter","created":{"date-parts":[[2010,7,9]],"date-time":"2010-07-09T16:54:35Z","timestamp":1278694475000},"page":"112-125","source":"Crossref","is-referenced-by-count":2,"title":["First-Order Rule Mining by Using Graphs Created from Temporal Medical Data"],"prefix":"10.1007","author":[{"given":"Ryutaro","family":"Ichise","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masayuki","family":"Numao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"7_CR1","volume-title":"Data Mining","author":"P. Adriaans","year":"1996","unstructured":"Adriaans, P., Zantinge, D.: Data Mining. Addison Wesley, London (1996)"},{"key":"7_CR2","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1007\/3-540-45357-1_24","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"R. Baxter","year":"2001","unstructured":"Baxter, R., Williams, G., He, H.: Feature Selection for Temporal Health Records. In: Cheung, D., Williams, G.J., Li, Q. (eds.) PAKDD 2001. LNCS (LNAI), vol.\u00a02035, pp. 198\u2013209. Springer, Heidelberg (2001)"},{"key":"7_CR3","unstructured":"Das, D., Lin, K., Mannila, H., Renganathan, G., Smyth, P.: Rule Discovery from Time Series. In: Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, pp. 16\u201322 (1998)"},{"key":"7_CR4","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-662-04599-2","volume-title":"Relational Data Mining","author":"S. D\u017eeroski","year":"2001","unstructured":"D\u017eeroski, S., Lavra\u010d, N.: Relational Data Mining. Springer, Heidelberg (2001)"},{"key":"7_CR5","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/S0933-3657(03)00034-4","volume":"28","author":"D. Gamberger","year":"2003","unstructured":"Gamberger, D., Lavra\u010d, N., Krsta\u010di\u0107, G.: Active subgroup mining: a case study in coronary heart disease risk group detection. Artificial Intelligence in Medicine\u00a028, 27\u201357 (2003)","journal-title":"Artificial Intelligence in Medicine"},{"key":"7_CR6","first-page":"9","volume":"2","author":"R. Ichise","year":"2001","unstructured":"Ichise, R., Numao, M.: Learning first-order rules to handle medical data. NII Journal\u00a02, 9\u201314 (2001)","journal-title":"NII Journal"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Keogh, E., Pazzani, M.: Scaling up Dynamic Time Warping for Datamining Applications. In: The Proceedings of the Sixth International Conference on Knowledge Discovery and Data Mining, pp. 285\u2013289 (2000)","DOI":"10.1145\/347090.347153"},{"key":"7_CR8","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/S0933-3657(01)00077-X","volume":"23","author":"I. Kononenko","year":"2001","unstructured":"Kononenko, I.: Machine learning for medical diagnosis: history, state of the art and perspective. Artificial Intelligence in Medicine\u00a023, 89\u2013109 (2001)","journal-title":"Artificial Intelligence in Medicine"},{"key":"7_CR9","series-title":"Frontiers in artificial intelligence and applications","volume-title":"Active mining: new directions of data mining","year":"2002","unstructured":"Motoda, H. (ed.): Active mining: new directions of data mining. Frontiers in artificial intelligence and applications, vol.\u00a079. IOS Press, Amsterdam (2002)"},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Muggleton, S., Firth, J.: Relational rule induction with CProgol4.4: a tutorial introduction. In: Relational Data Mining, pp. 160\u2013188 (2001)","DOI":"10.1007\/978-3-662-04599-2_7"},{"issue":"3","key":"7_CR11","first-page":"239","volume":"5","author":"J.R. Quinlan","year":"1990","unstructured":"Quinlan, J.R.: Learning logical definitions from relation. Machine Learning\u00a05(3), 239\u2013266 (1990)","journal-title":"Machine Learning"},{"key":"7_CR12","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1007\/3-540-45372-5_29","volume-title":"Principles of Data Mining and Knowledge Discovery","author":"J.J. Rodr\u00edguez","year":"2000","unstructured":"Rodr\u00edguez, J.J., Alonso, C.J., Bostr\u00f8\"m, H.: Learning First Order Logic Time Series Classifiers: Rules and Boosting. In: Zighed, D.A., Komorowski, J., \u017bytkow, J.M. (eds.) PKDD 2000. LNCS (LNAI), vol.\u00a01910, pp. 299\u2013308. Springer, Heidelberg (2000)"},{"key":"7_CR13","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/S0933-3657(00)00105-6","volume":"22","author":"M. Spenke","year":"2001","unstructured":"Spenke, M.: Visualization and interactive analysis of blood parameters with InfoZoom. Artificial Intelligence in Medicine\u00a022, 159\u2013172 (2001)","journal-title":"Artificial Intelligence in Medicine"},{"key":"7_CR14","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/978-3-540-48247-5_3","volume-title":"Principles of Data Mining and Knowledge Discovery","author":"S. Tsumoto","year":"1999","unstructured":"Tsumoto, S.: Rule Discovery in Large Time-Series Medical Databases. In: \u017bytkow, J.M., Rauch, J. (eds.) PKDD 1999. LNCS (LNAI), vol.\u00a01704, pp. 23\u201331. Springer, Heidelberg (1999)"},{"key":"7_CR15","unstructured":"Yamada, Y., Suzuki, E., Yokoi, H., Takabayashi, K.: Classification by Time-series Decision Tree. In: Proceedings of the 17th Annual Conference of the Japanese Society for Artificial Intelligence (2003) (in Japanese, 1F5-06)"}],"container-title":["Lecture Notes in Computer Science","Active Mining"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11423270_7.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T19:52:41Z","timestamp":1605642761000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11423270_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540261575","9783540319337"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/11423270_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}