{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T05:00:44Z","timestamp":1725512444761},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540684152"},{"type":"electronic","value":"9783540684169"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-68416-9_15","type":"book-chapter","created":{"date-parts":[[2008,5,12]],"date-time":"2008-05-12T12:53:14Z","timestamp":1210596794000},"page":"182-195","source":"Crossref","is-referenced-by-count":2,"title":["Data Mining of Multi-categorized Data"],"prefix":"10.1007","author":[{"given":"Akinori","family":"Abe","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Norihiro","family":"Hagita","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michiko","family":"Furutani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshiyuki","family":"Furutani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rumiko","family":"Matsuoka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"15_CR1","unstructured":"Abe, A., Naya, F., Kogure, K., Hagita, N.: Rule Acquisition from small and heterogeneous data set, Technical Report of JSAI, SIG-KBS-A304-32, pp. 189\u2013194 (2004) (in Japanese)"},{"issue":"Supplement","key":"15_CR2","doi-asserted-by":"publisher","first-page":"104","DOI":"10.2481\/dsj.6.S104","volume":"6","author":"A. Abe","year":"2007","unstructured":"Abe, A., Hagita, N., Furutani, M., Furutani, Y., Matsuoka, R.: Possibility of Integrated Data Mining of Clinical Data. Data Science Journal\u00a06 (Supplement), 104\u2013115 (2007)","journal-title":"Data Science Journal"},{"key":"15_CR3","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"909","DOI":"10.1007\/978-3-540-74827-4_114","volume-title":"Knowledge-Based Intelligent Information and Engineering Systems","author":"A. Abe","year":"2007","unstructured":"Abe, A., Hagita, N., Furutani, M., Furutani, Y., Matsuoka, R.: An interface for medical diagnosis support. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part II. LNCS (LNAI), vol.\u00a04693, pp. 909\u2013916. Springer, Heidelberg (2007)"},{"key":"15_CR4","doi-asserted-by":"crossref","unstructured":"Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. In: Proc. of ACM SIGMOD Int\u2019l Conf. on Management of Data, pp. 207\u2013216 (1993)","DOI":"10.1145\/170035.170072"},{"volume-title":"Relational Data Mining","year":"2001","key":"15_CR5","unstructured":"D\u017eroski, S., Lavra\u010d, N. (eds.): Relational Data Mining. Springer, Heidelberg (2001)"},{"key":"15_CR6","unstructured":"Ichise, R., Numao, M.: A Graph-based Approach for Temporal Relationship Mining, Technical Report of JSAI, SIG-FAI-A301, pp. 121\u2013126 (2003)"},{"key":"15_CR7","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1007\/11423270_7","volume-title":"Active Mining","author":"R. Ichise","year":"2005","unstructured":"Ichise, R., Numao, M.: First-Order Rule Mining by Using Graphs Created from Temporal Medical Data. In: Tsumoto, S., Yamaguchi, T., Numao, M., Motoda, H. (eds.) AM 2003. LNCS (LNAI), vol.\u00a03430, pp. 112\u2013125. Springer, Heidelberg (2005)"},{"issue":"7","key":"15_CR8","doi-asserted-by":"publisher","first-page":"1946","DOI":"10.1002\/1097-0142(19940401)73:7<1946::AID-CNCR2820730728>3.0.CO;2-F","volume":"73","author":"T. Kobayashi","year":"1994","unstructured":"Kobayashi, T., Kawakubo, T.: Prospective Investigation of Tumor Markers and Risk Assessment in Early Cancer Screening. Cancer\u00a073(7), 1946\u20131953 (1994)","journal-title":"Cancer"},{"key":"15_CR9","unstructured":"Ohsawa, Y., Okazaki, N., Matsumura, N.: A Scenario Development on Hepatics B and C, Technical Report of JSAI, SIG-KBS-A301, pp. 177\u2013182 (2003)"},{"volume-title":"Chance Discovery","year":"2003","key":"15_CR10","unstructured":"Osawa, Y., McBurney, P. (eds.): Chance Discovery. Springer, Heidelberg (2003)"},{"issue":"2","key":"15_CR11","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.ins.2004.03.002","volume":"162","author":"S. Tsumoto","year":"2004","unstructured":"Tsumoto, S.: Mining Diagnostic Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model. Information Sciences\u00a0162(2), 65\u201380 (2004)","journal-title":"Information Sciences"},{"key":"15_CR12","volume-title":"C4.5: Programs for Machine Learning","author":"J.R. Quinlan","year":"1993","unstructured":"Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufman, San Francisco (1993)"},{"key":"15_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1007\/BFb0095063","volume-title":"Advanced Topics in Artificial Intelligence","author":"Z. Zheng","year":"1998","unstructured":"Zheng, Z., Webb, G.I.: Stochastic Attribute Selection Committees. In: Antoniou, G., Slaney, J.K. (eds.) AI 1998. LNCS, vol.\u00a01502, pp. 321\u2013332. Springer, Heidelberg (1998)"}],"container-title":["Lecture Notes in Computer Science","Mining Complex Data"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-68416-9_15.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T04:51:21Z","timestamp":1620017481000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-68416-9_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540684152","9783540684169"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-68416-9_15","relation":{},"subject":[]}}