{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T05:34:20Z","timestamp":1726032860610},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030231811"},{"type":"electronic","value":"9783030231828"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-23182-8_12","type":"book-chapter","created":{"date-parts":[[2019,6,23]],"date-time":"2019-06-23T23:10:01Z","timestamp":1561331401000},"page":"160-174","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Ontology-Informed Lattice Reduction Using the Discrimination Power Index"],"prefix":"10.1007","author":[{"given":"Qudamah","family":"Quboa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Behnaz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikolay","family":"Mehandjiev","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fethi","family":"Rabhi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,6,19]]},"reference":[{"issue":"3","key":"12_CR1","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1108\/LR-06-2015-0061","volume":"65","author":"A Mauro De","year":"2016","unstructured":"De Mauro, A., Greco, M., Grimaldi, M.: A formal definition of Big Data based on its essential features. Libr. Rev. 65(3), 122\u2013135 (2016)","journal-title":"Libr. Rev."},{"issue":"2","key":"12_CR2","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1515\/amcs-2016-0035","volume":"26","author":"PK Singh","year":"2016","unstructured":"Singh, P.K., Aswani Kumar, C., Gani, A.: A comprehensive survey on formal concept analysis, its research trends and applications. Int. J. Appl. Math. Comput. Sci. 26(2), 495\u2013516 (2016)","journal-title":"Int. J. Appl. Math. Comput. Sci."},{"key":"12_CR3","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1007\/978-3-540-70901-5_4","volume-title":"Formal Concept Analysis","author":"MH Rouane","year":"2007","unstructured":"Rouane, M.H., Huchard, M., Napoli, A., Valtchev, P.: A proposal for combining formal concept analysis and description logics for mining relational data. In: Kuznetsov, S.O., Schmidt, S. (eds.) ICFCA 2007. LNCS (LNAI), vol. 4390, pp. 51\u201365. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-70901-5_4"},{"issue":"20","key":"12_CR4","doi-asserted-by":"publisher","first-page":"7084","DOI":"10.1016\/j.eswa.2015.04.044","volume":"42","author":"SM Dias","year":"2015","unstructured":"Dias, S.M., Vieira, N.J.: Concept lattices reduction: definition, analysis and classification. Expert Syst. Appl. 42(20), 7084\u20137097 (2015)","journal-title":"Expert Syst. Appl."},{"key":"12_CR5","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/978-3-642-52449-3_4","volume-title":"Wissensmanagement mit Referenzmodellen 2002","author":"G Stumme","year":"2002","unstructured":"Stumme, G.: Using ontologies and formal concept analysis for organizing business knowledge. In: Becker, J., Knackstedt, R. (eds.) Wissensmanagement mit Referenzmodellen 2002, pp. 163\u2013174. Physica, Heidelberg (2002)"},{"issue":"1","key":"12_CR6","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/s10462-013-9404-0","volume":"44","author":"AK Sarmah","year":"2015","unstructured":"Sarmah, A.K., Hazarika, S.M., Sinha, S.K.: Formal concept analysis: current trends and directions. Artif. Intell. Rev. 44(1), 47\u201386 (2015)","journal-title":"Artif. Intell. Rev."},{"key":"12_CR7","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1007\/978-3-319-25485-2_3","volume-title":"Information Retrieval","author":"DI Ignatov","year":"2014","unstructured":"Ignatov, D.I.: Introduction to formal concept analysis and its applications in information retrieval and related fields. In: Braslavski, P., Karpov, N., Worring, M., Volkovich, Y., Ignatov, D. (eds.) Information Retrieval, vol. 505, pp. 42\u2013141. Springer, Cham (2014)"},{"doi-asserted-by":"crossref","unstructured":"Baader, F., Ganter, B., Sertkaya, B., Sattler, U.: Completing description logic knowledge bases using formal concept analysis. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI), pp. 230\u2013235, Hyderabad, India (2007)","key":"12_CR8","DOI":"10.25368\/2022.155"},{"key":"12_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-59830-2","volume-title":"Formal Concept Analysis","author":"B Ganter","year":"1999","unstructured":"Ganter, B., Wille, R.: Formal Concept Analysis. Springer, Heidelberg (1999). https:\/\/doi.org\/10.1007\/978-3-642-59830-2"},{"key":"12_CR10","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1006\/knac.1993.1008","volume":"5","author":"TR Gruber","year":"1993","unstructured":"Gruber, T.R.: A translation approach to portable ontology specification. Knowl. Acquisition 5, 199\u2013220 (1993)","journal-title":"Knowl. Acquisition"},{"issue":"6","key":"12_CR11","doi-asserted-by":"publisher","first-page":"942","DOI":"10.1109\/TKDE.2010.237","volume":"23","author":"F Lecue","year":"2011","unstructured":"Lecue, F., Mehandjiev, N.: Seeking quality of web service composition in a semantic dimension. IEEE Trans. Knowl. Data Eng. 23(6), 942\u2013959 (2011)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"2","key":"12_CR12","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1136\/amiajnl-2011-000523","volume":"19","author":"MA Musen","year":"2011","unstructured":"Musen, M.A., et al.: The national center for biomedical ontology. J. American Medical Informatics Association 19(2), 190\u2013195 (2011)","journal-title":"J. American Medical Informatics Association"},{"issue":"3\u20134","key":"12_CR13","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1057\/jbr.2013.13","volume":"14","author":"M Bennett","year":"2013","unstructured":"Bennett, M.: The financial industry business ontology: Best practice for big data. Journal of Banking Regulation 14(3\u20134), 255\u2013268 (2013)","journal-title":"Journal of Banking Regulation"},{"issue":"2","key":"12_CR14","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1057\/s41265-018-0053-2","volume":"33","author":"O Eriksson","year":"2018","unstructured":"Eriksson, O., Johannesson, P., Bergholtz, M.: Institutional ontology for conceptual modeling. J. Inf. Technol. 33(2), 105\u2013123 (2018)","journal-title":"J. Inf. Technol."},{"issue":"1","key":"12_CR15","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/s10586-014-0406-8","volume":"18","author":"T Shah","year":"2015","unstructured":"Shah, T., Rabhi, F., Ray, P.: Investigating an ontology-based approach for Big Data analysis of inter-dependent medical and oral health conditions. Cluster Comput. 18(1), 351\u2013367 (2015)","journal-title":"Cluster Comput."},{"key":"12_CR16","series-title":"Studies in Big Data","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/978-3-319-61893-7_11","volume-title":"A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years","author":"G Giacomo De","year":"2018","unstructured":"De Giacomo, G., Lembo, D., Lenzerini, M., Poggi, A., Rosati, R.: Using ontologies for semantic data integration. In: Flesca, S., Greco, S., Masciari, E., Sacc\u00e0, D. (eds.) A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years. SBD, vol. 31, pp. 187\u2013202. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-61893-7_11"},{"issue":"3","key":"12_CR17","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1007\/s41066-016-0036-z","volume":"2","author":"PK Singh","year":"2017","unstructured":"Singh, P.K., Kumar, C.A.: Concept lattice reduction using different subset of attributes as information granules. Granular Comput. 2(3), 159\u2013173 (2017)","journal-title":"Granular Comput."},{"issue":"1","key":"12_CR18","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.ijar.2012.07.005","volume":"54","author":"J Li","year":"2013","unstructured":"Li, J., Mei, C., Lv, Y.: Incomplete decision contexts: approximate concept construction, rule acquisition and knowledge reduction. Int. J. Approximate Reasoning 54(1), 149\u2013165 (2013)","journal-title":"Int. J. Approximate Reasoning"},{"doi-asserted-by":"crossref","unstructured":"Wang, X., Zhang, W.: Attribute reduction in concept lattices based on deletion transformations. In: 6th International Conference on Natural Computation (ICNC), pp. 2065\u20132069. IEEE, Yantai (2010)","key":"12_CR19","DOI":"10.1109\/ICNC.2010.5582340"},{"issue":"5","key":"12_CR20","doi-asserted-by":"publisher","first-page":"1880","DOI":"10.1016\/j.eswa.2012.10.010","volume":"40","author":"SM Dias","year":"2013","unstructured":"Dias, S.M., Vieira, N.J.: Applying the JBOS reduction method for relevant knowledge extraction. Expert Syst. Appl. 40(5), 1880\u20131887 (2013)","journal-title":"Expert Syst. Appl."},{"issue":"3","key":"12_CR21","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1080\/08839514.2012.648457","volume":"26","author":"CA Kumar","year":"2012","unstructured":"Kumar, C.A.: Fuzzy clustering-based formal concept analysis for association rules mining. Appl. Artif. Intell. 26(3), 274\u2013301 (2012)","journal-title":"Appl. Artif. Intell."},{"key":"12_CR22","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.datak.2012.08.002","volume":"81","author":"S Zhang","year":"2012","unstructured":"Zhang, S., Guo, P., Zhang, J., Wang, X., Pedrycz, W.: A completeness analysis of frequent weighted concept lattices and their algebraic properties. Data Knowl. Eng. 81, 104\u2013117 (2012)","journal-title":"Data Knowl. Eng."},{"issue":"4","key":"12_CR23","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1109\/TSMCC.2008.2012168","volume":"39","author":"R Belohlavek","year":"2009","unstructured":"Belohlavek, R., Vychodil, V.: Formal concept analysis with background knowledge: attribute priorities. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 39(4), 399\u2013409 (2009)","journal-title":"IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.)"},{"issue":"4","key":"12_CR24","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1080\/03081070410001679715","volume":"33","author":"R B\u011blohl\u00e1vek","year":"2004","unstructured":"B\u011blohl\u00e1vek, R., Sklen\u00e1\u0159, V., Zacpal, J.: Formal concept analysis with hierarchically ordered attributes. Int. J. Gen Syst 33(4), 383\u2013394 (2004)","journal-title":"Int. J. Gen Syst"},{"unstructured":"Sertkaya, B.: A survey on how description logic ontologies benefit from formal concept analysis. In: Proceedings of the 7th International Conference on Concept Lattices and Their Applications, (CLA 2010), pp. 2\u201321, Sevilla, Spain (2010)","key":"12_CR25"},{"key":"12_CR26","series-title":"Studies in Classification, Data Analysis, and Knowledge Organization","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1007\/978-3-319-25226-1_14","volume-title":"Analysis of Large and Complex Data","author":"F Domenach","year":"2016","unstructured":"Domenach, F., Portides, G.: Similarity measures on concept lattices. In: Wilhelm, Adalbert F.X., Kestler, Hans A. (eds.) Analysis of Large and Complex Data. SCDAKO, pp. 159\u2013169. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-25226-1_14"},{"issue":"1","key":"12_CR27","first-page":"43","volume":"8","author":"SS Choi","year":"2010","unstructured":"Choi, S.S., Cha, S.H., Tappert, C.C.: A survey of binary similarity and distance measures. J. Syst. Cybernet. Inf. 8(1), 43\u201348 (2010)","journal-title":"J. Syst. Cybernet. Inf."},{"key":"12_CR28","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-78102-0_1","volume-title":"Graph Structures for Knowledge Representation and Reasoning","author":"S Andrews","year":"2018","unstructured":"Andrews, S., Polovina, S.: Exploring, reasoning with and validating directed graphs by applying formal concept analysis to conceptual graphs. In: Croitoru, M., Marquis, P., Rudolph, S., Stapleton, G. (eds.) GKR 2017. LNCS (LNAI), vol. 10775, pp. 3\u201328. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-78102-0_1"},{"unstructured":"Wirth, R. Hipp, J.: CRISP-DM: Towards a standard process model for data mining. In: Proceedings of the 4th International Conference on the Practical Applications of Knowledge Discovery and Data Mining, Manchester, UK, pp. 29\u201339 (2000)","key":"12_CR29"},{"key":"12_CR30","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/978-1-4471-0123-9_3","volume-title":"Soft Computing and Industry","author":"DH Wolpert","year":"2002","unstructured":"Wolpert, D.H.: The supervised learning no-free-lunch theorems. In: Roy, R., K\u00f6ppen, M., Ovaska, S., Furuhashi, T., Hoffmann, F. (eds.) Soft Computing and Industry, pp. 25\u201342. Springer, London (2002). https:\/\/doi.org\/10.1007\/978-1-4471-0123-9_3"},{"doi-asserted-by":"crossref","unstructured":"Nural, M.V., Cotterell, M.E., Miller, J.A.: Using semantics in predictive big data analytics. In: IEEE International Congress on Big Data (BigData Congress), pp. 254\u2013261. IEEE, New York (2015)","key":"12_CR31","DOI":"10.1109\/BigDataCongress.2015.43"},{"doi-asserted-by":"crossref","unstructured":"Lin, M.S., Zhang, H., Yu, Z.G.: An ontology for supporting data mining process. In: IMACS Multi-Conference on Computational Engineering in Systems Applications, pp. 2074\u20132077. IEEE, Beijing (2006)","key":"12_CR32","DOI":"10.1109\/CESA.2006.313655"},{"unstructured":"Azure Machine Learning. https:\/\/docs.microsoft.com\/en-us\/azure\/machine-learning\/studio\/algorithm-choice","key":"12_CR33"}],"container-title":["Lecture Notes in Computer Science","Graph-Based Representation and Reasoning"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-23182-8_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,21]],"date-time":"2022-09-21T17:18:18Z","timestamp":1663780698000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-23182-8_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030231811","9783030231828"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-23182-8_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"19 June 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Conceptual Structures","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Marburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-conceptstruct2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccs-conference.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}