{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T09:50:01Z","timestamp":1791453001599,"version":"4.3.3"},"publisher-location":"Cham","reference-count":37,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032033635","type":"print"},{"value":"9783032033642","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-032-03364-2_5","type":"book-chapter","created":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T15:30:50Z","timestamp":1757086250000},"page":"67-90","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Limitations of\u00a0Attribute Derivations for\u00a0Approximating User-Based Attribute Weighting"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6572-5983","authenticated-orcid":false,"given":"Stefan","family":"Schneider","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0063-2964","authenticated-orcid":false,"given":"Armin","family":"Schulz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6778-6744","authenticated-orcid":false,"given":"Steven","family":"Verheyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4311-0624","authenticated-orcid":false,"given":"Andreas","family":"N\u00fcrnberger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,9,6]]},"reference":[{"key":"5_CR1","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/S0022-5371(78)90119-6","volume":"17","author":"MH Ashcraft","year":"1978","unstructured":"Ashcraft, M.H.: Property dominance and typicality effects in property statement verification. J. Verb. Learn. Verb. Behav. 17, 155\u2013164 (1978)","journal-title":"J. Verb. Learn. Verb. Behav."},{"key":"5_CR2","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/978-3-642-20514-9_7","volume-title":"Formal Concept Analysis","author":"R Belohlavek","year":"2011","unstructured":"Belohlavek, R., Macko, J.: Selecting important concepts using weights. In: Valtchev, P., J\u00e4schke, R. (eds.) ICFCA 2011. LNCS (LNAI), vol. 6628, pp. 65\u201380. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-20514-9_7"},{"key":"5_CR3","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1007\/978-3-540-32262-7_12","volume-title":"Formal Concept Analysis","author":"R B\u011blohl\u00e1vek","year":"2005","unstructured":"B\u011blohl\u00e1vek, R., Sklen\u00e1\u0159, V.: Formal concept analysis constrained by attribute-dependency formulas. In: Ganter, B., Godin, R. (eds.) ICFCA 2005. LNCS (LNAI), vol. 3403, pp. 176\u2013191. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/978-3-540-32262-7_12"},{"issue":"4","key":"5_CR4","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 39(4), 399\u2013409 (2009). https:\/\/doi.org\/10.1109\/TSMCC.2008.2012168","journal-title":"IEEE Trans. Syst. Man Cybern. Part C"},{"issue":"3","key":"5_CR5","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1016\/j.actpsy.2009.11.011","volume":"133","author":"E Ceulemans","year":"2010","unstructured":"Ceulemans, E., Storms, G.: Detecting intra-and inter-categorical structure in semantic concepts using HICLAS. Acta Psychologica 133(3), 296\u2013304 (2010)","journal-title":"Acta Psychologica"},{"issue":"3","key":"5_CR6","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1007\/BF02294218","volume":"53","author":"P De Boeck","year":"1988","unstructured":"De Boeck, P., Rosenberg, S.: Hierarchical classes: model and data analysis. Psychometrika 53(3), 361\u2013381 (1988)","journal-title":"Psychometrika"},{"key":"5_CR7","doi-asserted-by":"publisher","first-page":"1030","DOI":"10.3758\/BRM.40.4.1030","volume":"40","author":"S De Deyne","year":"2008","unstructured":"De Deyne, S., et al.: Exemplar by feature applicability matrices and other Dutch normative data for semantic concepts. Behav. Res. Methods 40, 1030\u20131048 (2008)","journal-title":"Behav. Res. Methods"},{"issue":"3","key":"5_CR8","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1016\/j.actpsy.2009.12.005","volume":"133","author":"MJ Dry","year":"2010","unstructured":"Dry, M.J., Storms, G.: Features of graded category structure: generalizing the family resemblance and polymorphous concept models. Acta Psychologica 133(3), 244\u2013255 (2010)","journal-title":"Acta Psychologica"},{"issue":"3","key":"5_CR9","doi-asserted-by":"publisher","first-page":"889","DOI":"10.3758\/BRM.41.3.889","volume":"41","author":"MJ Dry","year":"2009","unstructured":"Dry, M.J., Storms, G.: Similar but not the same: a comparison of the utility of directly rated and feature-based similarity measures for generating spatial models of conceptual data. Behav. Res. Methods 41(3), 889\u2013900 (2009)","journal-title":"Behav. Res. Methods"},{"issue":"4","key":"5_CR10","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1016\/j.jco.2009.02.011","volume":"25","author":"RJ Durrant","year":"2009","unstructured":"Durrant, R.J., Kab\u00e1n, A.: When is \u2018nearest neighbour\u2019 meaningful: a converse theorem and implications. J. Complex. 25(4), 385\u2013397 (2009)","journal-title":"J. Complex."},{"key":"5_CR11","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/978-3-030-86982-3_10","volume-title":"Graph-Based Representation and Reasoning","author":"D D\u00fcrrschnabel","year":"2021","unstructured":"D\u00fcrrschnabel, D., Koyda, M., Stumme, G.: Attribute selection using contranominal scales. In: Braun, T., Gehrke, M., Hanika, T., Hernandez, N. (eds.) ICCS 2021. LNCS (LNAI), vol. 12879, pp. 127\u2013141. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-86982-3_10"},{"key":"5_CR12","unstructured":"Ganter, B., Wille, R.: Formal Concept Analysis: Mathematical Foundations. Springer (2012)"},{"issue":"1","key":"5_CR13","doi-asserted-by":"publisher","first-page":"55","DOI":"10.3758\/BF03197712","volume":"15","author":"JA Hampton","year":"1987","unstructured":"Hampton, J.A.: Inheritance of attributes in natural concept conjunctions. Mem. Cogn. 15(1), 55\u201371 (1987)","journal-title":"Mem. Cogn."},{"issue":"4","key":"5_CR14","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1016\/S0022-5371(79)90246-9","volume":"18","author":"JA Hampton","year":"1979","unstructured":"Hampton, J.A.: Polymorphous concepts in semantic memory. J. Verb. Learn. Verb. Behav. 18(4), 441\u2013461 (1979)","journal-title":"J. Verb. Learn. Verb. Behav."},{"key":"5_CR15","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1007\/978-3-031-67868-4_7","volume-title":"CONCEPTS 2024","author":"T Hanika","year":"2024","unstructured":"Hanika, T., Hille, T.: What is the intrinsic dimension of your binary data?\u2013and how to compute it quickly. In: Cabrera, I.P., Ferr\u00e9, S., Obiedkov, S. (eds.) CONCEPTS 2024. LNCS, vol. 14914, pp. 97\u2013112. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-67868-4_7"},{"key":"5_CR16","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1007\/978-3-030-23182-8_8","volume-title":"Graph-Based Representation and Reasoning","author":"T Hanika","year":"2019","unstructured":"Hanika, T., Koyda, M., Stumme, G.: Relevant attributes in formal contexts. In: Endres, D., Alam, M., \u015eotropa, D. (eds.) ICCS 2019. LNCS (LNAI), vol. 11530, pp. 102\u2013116. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-23182-8_8"},{"key":"5_CR17","unstructured":"Hanika, T., Schneider, F.M., Stumme, G.: Intrinsic dimension of geometric data sets (2022)"},{"issue":"4","key":"5_CR18","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1023\/A:1013970520933","volume":"18","author":"SO Kuznetsov","year":"2001","unstructured":"Kuznetsov, S.O.: On computing the size of a lattice and related decision problems. Order 18(4), 313\u2013321 (2001)","journal-title":"Order"},{"issue":"4","key":"5_CR19","doi-asserted-by":"publisher","first-page":"547","DOI":"10.3758\/BF03192726","volume":"37","author":"K McRae","year":"2005","unstructured":"McRae, K., et al.: Semantic feature production norms for a large set of living and nonliving things. Behav. Res. Methods 37(4), 547\u2013559 (2005)","journal-title":"Behav. Res. Methods"},{"issue":"3","key":"5_CR20","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1016\/j.actpsy.2009.10.008","volume":"133","author":"DJ Navarro","year":"2010","unstructured":"Navarro, D.J., Perfors, A.F.: Similarity, feature discovery, and the size principle. Acta Psychologica 133(3), 256\u2013268 (2010)","journal-title":"Acta Psychologica"},{"key":"5_CR21","doi-asserted-by":"crossref","unstructured":"Pestov, V.: Intrinsic dimension of a dataset: what properties does one expect? In: IJCNN 2007, pp. 2959\u20132964. IEEE (2007)","DOI":"10.1109\/IJCNN.2007.4371431"},{"key":"5_CR22","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1016\/0010-0285(75)90024-9","volume":"7","author":"E Rosch","year":"1975","unstructured":"Rosch, E., Mervis, C.B.: Family resemblances: studies in the internal structure of categories. Cogn. Psychol. 7, 573\u2013605 (1975)","journal-title":"Cogn. Psychol."},{"issue":"3","key":"5_CR23","doi-asserted-by":"publisher","first-page":"506","DOI":"10.3758\/BF03195597","volume":"36","author":"W Ruts","year":"2004","unstructured":"Ruts, W., et al.: Dutch norm data for 13 semantic categories and 338 exemplars. Behav. Res. Methods Instrum. Comput. 36(3), 506\u2013515 (2004)","journal-title":"Behav. Res. Methods Instrum. Comput."},{"key":"5_CR24","first-page":"83","volume":"8","author":"V Sn\u00e1sel","year":"2008","unstructured":"Sn\u00e1sel, V., et al.: On concept lattices and implication bases from reduced contexts. ICCS Suppl. 8, 83\u201390 (2008)","journal-title":"ICCS Suppl."},{"key":"5_CR25","doi-asserted-by":"publisher","first-page":"439","DOI":"10.7551\/mitpress\/4071.003.0016","volume-title":"Knowledge, Concepts, and Categories","author":"G Storms","year":"1997","unstructured":"Storms, G., De Boeck, P.: Formal models for intracategorical structure that can be used for data-analysis. In: Lamberts, K., Shanks, D. (eds.) Knowledge, Concepts, and Categories, pp. 439\u2013459. UCL Press, London (1997)"},{"issue":"1","key":"5_CR26","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1080\/09541449408520134","volume":"6","author":"G Storms","year":"1994","unstructured":"Storms, G., Mechelen, I.V., Boeck, P.D.: Structural analysis of the intension and extension of semantic concepts. Eur. J. Cogn. Psychol. 6(1), 43\u201375 (1994)","journal-title":"Eur. J. Cogn. Psychol."},{"issue":"6","key":"5_CR27","doi-asserted-by":"publisher","first-page":"752","DOI":"10.3758\/BF03202743","volume":"21","author":"G Storms","year":"1993","unstructured":"Storms, G., et al.: Dominance and noncommutativity effects in concept conjunctions: extensional or intensional basis? Mem. Cogn. 21(6), 752\u2013762 (1993)","journal-title":"Mem. Cogn."},{"key":"5_CR28","doi-asserted-by":"crossref","unstructured":"Tatti, N., et al.: What is the dimension of your binary data? In: Sixth International Conference on Data Mining (ICDM 2006), pp. 603\u2013612. IEEE (2006)","DOI":"10.1109\/ICDM.2006.167"},{"issue":"4","key":"5_CR29","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1037\/0033-295X.84.4.327","volume":"84","author":"A Tversky","year":"1977","unstructured":"Tversky, A.: Features of similarity. Psychol. Rev. 84(4), 327 (1977)","journal-title":"Psychol. Rev."},{"issue":"2","key":"5_CR30","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1037\/0096-3445.113.2.169","volume":"113","author":"B Tversky","year":"1984","unstructured":"Tversky, B., Hemenway, K.: Objects, parts, and categories. J. Exp. Psychol. Gen. 113(2), 169 (1984)","journal-title":"J. Exp. Psychol. Gen."},{"key":"5_CR31","doi-asserted-by":"publisher","first-page":"427","DOI":"10.3758\/BF03193012","volume":"39","author":"S Verheyen","year":"2007","unstructured":"Verheyen, S., Ameel, E., Storms, G.: Determining the dimensionality in spatial representations of semantic concepts. Behav. Res. Methods 39, 427\u2013438 (2007)","journal-title":"Behav. Res. Methods"},{"issue":"5","key":"5_CR32","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0063507","volume":"8","author":"S Verheyen","year":"2013","unstructured":"Verheyen, S., Storms, G.: A mixture approach to vagueness and ambiguity. PLoS ONE 8(5), e63507 (2013)","journal-title":"PLoS ONE"},{"key":"5_CR33","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1162\/opmi_a_00025","volume":"3","author":"S Verheyen","year":"2019","unstructured":"Verheyen, S., White, A., \u00c9gr\u00e9, P.: Revealing criterial vagueness in inconsistencies. Open Mind 3, 41\u201351 (2019)","journal-title":"Open Mind"},{"key":"5_CR34","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/11528784_1","volume-title":"Formal Concept Analysis","author":"R Wille","year":"2005","unstructured":"Wille, R.: Formal concept analysis as mathematical theory of concepts and concept hierarchies. In: Ganter, B., Stumme, G., Wille, R. (eds.) Formal Concept Analysis. LNCS (LNAI), vol. 3626, pp. 1\u201333. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11528784_1"},{"key":"5_CR35","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1007\/978-3-642-01815-2_23","volume-title":"Formal Concept Analysis","author":"R Wille","year":"2009","unstructured":"Wille, R.: Restructuring lattice theory: an approach based on hierarchies of concepts. In: Ferr\u00e9, S., Rudolph, S. (eds.) ICFCA 2009. LNCS (LNAI), vol. 5548, pp. 314\u2013339. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-01815-2_23"},{"issue":"3","key":"5_CR36","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338\u2013353 (1965)","journal-title":"Inf. Control"},{"issue":"5","key":"5_CR37","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1002\/sam.11161","volume":"5","author":"A Zimek","year":"2012","unstructured":"Zimek, A., Schubert, E., Kriegel, H.-P.: A survey on unsupervised outlier detection in high-dimensional numerical data. Stat. Anal. Data Mining ASA Data Sci. J. 5(5), 363\u2013387 (2012)","journal-title":"Stat. Anal. Data Mining ASA Data Sci. J."}],"container-title":["Lecture Notes in Computer Science","Conceptual Knowledge Structures"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-03364-2_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T08:57:15Z","timestamp":1791449835000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-03364-2_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783032033635","9783032033642"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-03364-2_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"6 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CONCEPTS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Joint Conference on Conceptual Knowledge Structures","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cluj-Napoca","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Romania","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-conceptstruct2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/concepts2025.conference.ubbcluj.ro\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}