{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T08:27:41Z","timestamp":1742977661174,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031467806"},{"type":"electronic","value":"9783031467813"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-46781-3_6","type":"book-chapter","created":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T13:02:24Z","timestamp":1698325344000},"page":"55-66","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Proposal of\u00a0a\u00a0New Classification Method Using Rule Table and\u00a0Its Consideration"],"prefix":"10.1007","author":[{"given":"Yuichi","family":"Kato","sequence":"first","affiliation":[]},{"given":"Tetsuro","family":"Saeki","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,10,25]]},"reference":[{"key":"6_CR1","unstructured":"https:\/\/www.nii.ac.jp\/dsc\/idr\/rakuten\/"},{"issue":"5","key":"6_CR2","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/BF01001956","volume":"11","author":"Z Pawlak","year":"1982","unstructured":"Pawlak, Z.: Rough sets. Int. J. Comput. Inf. Sci. 11(5), 341\u2013356 (1982)","journal-title":"Int. J. Comput. Inf. Sci."},{"issue":"1","key":"6_CR3","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"key":"6_CR4","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1109\/TSMC.1973.5408575","volume":"3","author":"LA Zadeh","year":"1973","unstructured":"Zadeh, L.A.: Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans. Syst. Man Cybern. 3, 28\u201344 (1973)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"6_CR5","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/978-3-642-31900-6_11","volume-title":"Rough Sets and Knowledge Technology","author":"T Matsubayashi","year":"2012","unstructured":"Matsubayashi, T., Kato, Y., Saeki, T.: A new rule induction method from a decision table using a statistical test. In: Li, T., Nguyen, H.S., Wang, G., Grzymala-Busse, J., Janicki, R., Hassanien, A.E., Yu, H. (eds.) RSKT 2012. LNCS (LNAI), vol. 7414, pp. 81\u201390. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-31900-6_11"},{"key":"6_CR6","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/978-3-642-41299-8_20","volume-title":"Rough Sets and Knowledge Technology","author":"Y Kato","year":"2013","unstructured":"Kato, Y., Saeki, T., Mizuno, S.: Studies on the necessary data size for rule induction by STRIM. In: Lingras, P., Wolski, M., Cornelis, C., Mitra, S., Wasilewski, P. (eds.) RSKT 2013. LNCS (LNAI), vol. 8171, pp. 213\u2013220. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-41299-8_20"},{"key":"6_CR7","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1007\/978-3-319-08729-0_19","volume-title":"Rough Sets and Intelligent Systems Paradigms","author":"Y Kato","year":"2014","unstructured":"Kato, Y., Saeki, T., Mizuno, S.: Considerations on rule induction procedures by STRIM and their relationship to VPRS. In: Kryszkiewicz, M., Cornelis, C., Ciucci, D., Medina-Moreno, J., Motoda, H., Ra\u015b, Z.W. (eds.) RSEISP 2014. LNCS (LNAI), vol. 8537, pp. 198\u2013208. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-08729-0_19"},{"key":"6_CR8","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1016\/j.asoc.2014.11.041","volume":"28","author":"Y Kato","year":"2015","unstructured":"Kato, Y., Saeki, T., Mizuno, S.: Proposal of a Statistical Test Rule Induction Method by Use of the decision Table. Appl. Soft Comput. 28, 160\u2013166 (2015)","journal-title":"Appl. Soft Comput."},{"key":"6_CR9","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1007\/978-3-319-25754-9_13","volume-title":"Rough Sets and Knowledge Technology","author":"Y Kato","year":"2015","unstructured":"Kato, Y., Saeki, T., Mizuno, S.: Proposal for a statistical reduct method for decision tables. In: Ciucci, D., Wang, G., Mitra, S., Wu, W.-Z. (eds.) RSKT 2015. LNCS (LNAI), vol. 9436, pp. 140\u2013152. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-25754-9_13"},{"key":"6_CR10","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1007\/978-3-319-47160-0_37","volume-title":"Rough Sets","author":"Y Kitazaki","year":"2016","unstructured":"Kitazaki, Y., Saeki, T., Kato, Y.: Performance comparison to a classification problem by the second method of quantification and STRIM. In: Flores, V., et al. (eds.) IJCRS 2016. LNCS (LNAI), vol. 9920, pp. 406\u2013415. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-47160-0_37"},{"key":"6_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1007\/978-3-319-61845-6_37","volume-title":"Data Mining and Big Data","author":"J Fei","year":"2017","unstructured":"Fei, J., Saeki, T., Kato, Y.: Proposal for a new reduct method for decision tables and an improved STRIM. In: Tan, Y., Takagi, H., Shi, Y. (eds.) DMBD 2017. LNCS, vol. 10387, pp. 366\u2013378. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-61845-6_37"},{"key":"6_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1007\/978-3-319-60837-2_35","volume-title":"Rough Sets","author":"Y Kato","year":"2017","unstructured":"Kato, Y., Itsuno, T., Saeki, T.: Proposal of dominance-based rough set approach by STRIM and its applied example. In: Polkowski, L., et al. (eds.) IJCRS 2017. LNCS (LNAI), vol. 10313, pp. 418\u2013431. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-60837-2_35"},{"key":"6_CR13","doi-asserted-by":"crossref","unstructured":"Kato, Y., Saeki, T., Mizuno, S.: Considerations on the principle of rule induction by STRIM and its relationship to the conventional rough sets methods. Appl. Soft Comput. 73, 933\u2013942 (2018)","DOI":"10.1016\/j.asoc.2018.09.009"},{"key":"6_CR14","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1007\/978-3-319-99368-3_12","volume-title":"Rough Sets","author":"Y Kato","year":"2018","unstructured":"Kato, Y., Kawaguchi, S., Saeki, T.: Studies on CART\u2019s performance in rule induction and comparisons by STRIM. In: Nguyen, H.S., Ha, Q.-T., Li, T., Przyby\u0142a-Kasperek, M. (eds.) IJCRS 2018. LNCS (LNAI), vol. 11103, pp. 148\u2013161. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-99368-3_12"},{"key":"6_CR15","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1007\/978-3-319-99368-3_16","volume-title":"Rough Sets","author":"T Saeki","year":"2018","unstructured":"Saeki, T., Fei, J., Kato, Y.: Considerations on rule induction methods by the conventional rough set theory from a view of STRIM. In: Nguyen, H.S., Ha, Q.-T., Li, T., Przyby\u0142a-Kasperek, M. (eds.) IJCRS 2018. LNCS (LNAI), vol. 11103, pp. 202\u2013214. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-99368-3_16"},{"key":"6_CR16","doi-asserted-by":"crossref","unstructured":"Kato, Y., Saeki, T., Mizuno, S.: Considerations on the Principle of Rule Induction by STRIM and Its Relationship to the Conventional Rough Sets Methods; Applied Soft Computing, 73 pp, pp. 933\u2013942, Elsevier (2018)","DOI":"10.1016\/j.asoc.2018.09.009"},{"key":"6_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1007\/978-3-030-04070-3_6","volume-title":"Theory and Practice of Natural Computing","author":"Y Kato","year":"2018","unstructured":"Kato, Y., Saeki, T., Fei, J.: Application of STRIM to datasets generated by partial correspondence hypothesis. In: Fagan, D., Mart\u00edn-Vide, C., O\u2019Neill, M., Vega-Rodr\u00edguez, M.A. (eds.) TPNC 2018. LNCS, vol. 11324, pp. 74\u201386. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-04070-3_6"},{"key":"6_CR18","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1007\/978-3-030-22815-6_11","volume-title":"Rough Sets","author":"Y Kato","year":"2019","unstructured":"Kato, Y., Saeki, T.: Studies on reducing the necessary data size for rule induction from the decision table by STRIM. In: Mih\u00e1lyde\u00e1k, T., Min, F., Wang, G., Banerjee, M., D\u00fcntsch, I., Suraj, Z., Ciucci, D. (eds.) IJCRS 2019. LNCS (LNAI), vol. 11499, pp. 130\u2013143. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-22815-6_11"},{"key":"6_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1007\/978-3-030-57977-7_4","volume-title":"Rules and Reasoning","author":"Y Kato","year":"2020","unstructured":"Kato, Y., Saeki, T.: New rule induction method by use of a co-occurrence set from the decision table. In: Guti\u00e9rrez-Basulto, V., Kliegr, T., Soylu, A., Giese, M., Roman, D. (eds.) RuleML+RR 2020. LNCS, vol. 12173, pp. 54\u201369. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-57977-7_4"},{"key":"6_CR20","unstructured":"Kato, Y., Saeki, T.: Application of Bayesian STRIM to datasets generated via partial correspondence hypothesis. In: 18th International Conference on Machine Learning and Data Mining, MLDM 2022, pp. 1\u201315 (2022)"},{"key":"6_CR21","doi-asserted-by":"crossref","unstructured":"Grzymala-Busse, J.W. : LERS- A System for Learning from Examples Based on Rough Sets In: S\u0142owi\u0144ski, R. (ed.) Kluwer Academic Publishers: Intelligent Decision Support; Handbook of Applications and Advances of the Rough Sets Theory, pp. 3\u201318 (1992)","DOI":"10.1007\/978-94-015-7975-9_1"},{"key":"6_CR22","unstructured":"Decision tree learning - Wikipedia"},{"key":"6_CR23","unstructured":"Association rule learning - Wikipedia"},{"key":"6_CR24","unstructured":"randomForest: Breiman and Cutler\u2019s Random Forests for Classification and Regression r-project.org"}],"container-title":["Lecture Notes in Computer Science","Integrated Uncertainty in Knowledge Modelling and Decision Making"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-46781-3_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T13:06:08Z","timestamp":1698325568000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-46781-3_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031467806","9783031467813"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-46781-3_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"25 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IUKM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kanazawa","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iukm2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.jaist.ac.jp\/IUKM\/IUKM2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}