{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T17:14:10Z","timestamp":1743009250296,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319582733"},{"type":"electronic","value":"9783319582740"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-58274-0_6","type":"book-chapter","created":{"date-parts":[[2017,4,26]],"date-time":"2017-04-26T15:06:36Z","timestamp":1493219196000},"page":"67-78","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Influence of Similarity Measures for Rules and Clusters on the Efficiency of Knowledge Mining in Rule-Based Knowledge Bases"],"prefix":"10.1007","author":[{"given":"Agnieszka","family":"Nowak-Brzezi\u0144ska","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomasz","family":"Rybotycki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,4,27]]},"reference":[{"key":"6_CR1","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1007\/3-540-45813-1_52","volume-title":"Rough Sets and Current Trends in Computing","author":"JG Bazan","year":"2002","unstructured":"Bazan, J.G., Szczuka, M.S., Wr\u00f3blewski, J.: A new version of rough set exploration system. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds.) RSCTC 2002. LNCS (LNAI), vol. 2475, pp. 397\u2013404. Springer, Heidelberg (2002). doi:10.1007\/3-540-45813-1_52"},{"issue":"3","key":"6_CR2","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1007\/s10618-006-0062-6","volume":"14","author":"A Berrado","year":"2007","unstructured":"Berrado, A., Runger, G.: Using metarules to organize and group discovered association rules. Data Min. Knowl. Discov. 14(3), 409\u2013431 (2007)","journal-title":"Data Min. Knowl. Discov."},{"key":"6_CR3","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1007\/978-3-642-36981-0_5","volume":"206","author":"A Chemchem","year":"2013","unstructured":"Chemchem, A., Drias, H., Djenouri, Y.: Multilevel clustering of induction rules for web meta-knowledge. Adv. Intell. Syst. Comput. 206, 43\u201354 (2013)","journal-title":"Adv. Intell. Syst. Comput."},{"issue":"4","key":"6_CR4","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/0031-3203(76)90045-5","volume":"8","author":"R Dubes","year":"1976","unstructured":"Dubes, R., Jain, A.: Clustering techniques: the user\u2019s dilemma. Pattern Recogn. 8(4), 247\u2013260 (1976)","journal-title":"Pattern Recogn."},{"key":"6_CR5","doi-asserted-by":"publisher","first-page":"882","DOI":"10.2307\/2528080","volume":"22","author":"D Goodall","year":"1966","unstructured":"Goodall, D.: A new similarity index based on probability. Biometrics 22, 882\u2013907 (1966)","journal-title":"Biometrics"},{"key":"6_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1007\/978-3-540-45080-1_82","volume-title":"Intelligent Data Engineering and Automated Learning","author":"A Hashizume","year":"2003","unstructured":"Hashizume, A., Yongguang, B., Du, X., Ishii, N.: Generating representative from clusters of association rules on numeric attributes. In: Liu, J., Cheung, Y., Yin, H. (eds.) IDEAL 2003. LNCS, vol. 2690, pp. 605\u2013613. Springer, Heidelberg (2003). doi:10.1007\/978-3-540-45080-1_82"},{"key":"6_CR7","unstructured":"He, J., Chen, B., Hu, H.J., Harrison, R., Tai, P., Dong, Y., Pan, Y.: Rule clustering and super-rule generation for transmembrane segments prediction. In: IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts, pp. 224\u2013227 (2005)"},{"key":"6_CR8","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1007\/978-3-540-25929-9_30","volume-title":"Rough Sets and Current Trends in Computing","author":"R Latkowski","year":"2004","unstructured":"Latkowski, R., Miko\u0142ajczyk, M.: Data decomposition and decision rule joining for classification of data with missing values. In: Tsumoto, S., S\u0142owi\u0144ski, R., Komorowski, J., Grzyma\u0142a-Busse, J.W. (eds.) RSCTC 2004. LNCS (LNAI), vol. 3066, pp. 254\u2013263. Springer, Heidelberg (2004). doi:10.1007\/978-3-540-25929-9_30"},{"issue":"6","key":"6_CR9","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1002\/(SICI)1096-908X(199811\/12)10:6<395::AID-SMR179>3.0.CO;2-4","volume":"10","author":"O Lee","year":"1998","unstructured":"Lee, O., Gray, P.: Knowledge base clustering for KBS maintenance. J. Softw. Maint. Evol. 10(6), 395\u2013414 (1998)","journal-title":"J. Softw. Maint. Evol."},{"key":"6_CR10","unstructured":"Lenty, B., Swamix, A., Widomy, J.: Clustering association rules. Stanford University"},{"key":"6_CR11","unstructured":"Lichman, M.: UCI machine learning repository (2013). http:\/\/archive.ics.uci.edu\/ml"},{"key":"6_CR12","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1007\/978-3-319-34099-9_6","volume-title":"Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery","author":"A Nowak-Brzezi\u0144ska","year":"2016","unstructured":"Nowak-Brzezi\u0144ska, A.: Mining rule-based knowledge bases. In: Kozielski, S., Mrozek, D., Kasprowski, P., Ma\u0142ysiak-Mrozek, B., Kostrzewa, D. (eds.) BDAS 2015-2016. CCIS, vol. 613, pp. 94\u2013108. Springer, Cham (2016). doi:10.1007\/978-3-319-34099-9_6"},{"key":"6_CR13","doi-asserted-by":"publisher","first-page":"35","DOI":"10.3233\/FI-2016-1421","volume":"148","author":"A Nowak-Brzezi\u0144ska","year":"2016","unstructured":"Nowak-Brzezi\u0144ska, A.: Mining rule-based knowledge bases inspired by rough set theory. Fundam. Inform. 148, 35\u201350 (2016)","journal-title":"Fundam. Inform."},{"key":"6_CR14","first-page":"91","volume":"24","author":"A Nowak-Brzezi\u0144ska","year":"2015","unstructured":"Nowak-Brzezi\u0144ska, A., Rybotycki, T.: Visualization of medical rule-based knowledge bases. J. Med. Inf. Technol. 24, 91\u201398 (2015)","journal-title":"J. Med. Inf. Technol."},{"issue":"2","key":"6_CR15","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1111\/exsy.12085","volume":"32","author":"J Prentzas","year":"2015","unstructured":"Prentzas, J., Hatzilygeroudis, I.: Improving efficiency of merging symbolic rules into integrated rules: splitting methods and mergability criteria. Expert Syst. 32(2), 244\u2013260 (2015)","journal-title":"Expert Syst."},{"key":"6_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1007\/978-3-540-28651-6_25","volume-title":"Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2004","author":"AP Reynolds","year":"2004","unstructured":"Reynolds, A.P., Richards, G., Rayward-Smith, V.J.: The application of K-medoids and PAM to the clustering of rules. In: Yang, Z.R., Yin, H., Everson, R.M. (eds.) IDEAL 2004. LNCS, vol. 3177, pp. 173\u2013178. Springer, Heidelberg (2004). doi:10.1007\/978-3-540-28651-6_25"},{"key":"6_CR17","unstructured":"Rybotycki, T.: Wizualizacja struktur hierarchicznych dla regulowych baz wiedzy, Sosnowiec (2015)"},{"key":"6_CR18","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1145\/102377.115768","volume":"11","author":"B Shneiderman","year":"1992","unstructured":"Shneiderman, B.: Tree visualization with tree-maps: 2-d space-filling approach. Trans. Graphics (TOG) 11, 92\u201399 (1992). Association for Computing Machinery, New York","journal-title":"Trans. Graphics (TOG)"},{"key":"6_CR19","unstructured":"Wetzel, K.: Pebbles - using circular treemaps to visualize disk usage (2004)"}],"container-title":["Communications in Computer and Information Science","Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-58274-0_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T19:34:34Z","timestamp":1710272074000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-58274-0_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319582733","9783319582740"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-58274-0_6","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"27 April 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BDAS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference: Beyond Databases, Architectures and Structures","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ustro\u0144","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 May 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 June 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bdas2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bdas.polsl.pl\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}