{"id":"https://openalex.org/W2891615750","doi":"https://doi.org/10.1007/978-3-030-00202-2_14","title":"Basic Level Concepts as a Means to Better Interpretability of Boolean Matrix Factors and Their Application to Clustering","display_name":"Basic Level Concepts as a Means to Better Interpretability of Boolean Matrix Factors and Their Application to Clustering","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2891615750","doi":"https://doi.org/10.1007/978-3-030-00202-2_14","mag":"2891615750"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-00202-2_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-00202-2_14","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040674482","display_name":"Petr Kraj\u010da","orcid":"https://orcid.org/0000-0003-4278-3130"},"institutions":[{"id":"https://openalex.org/I70703428","display_name":"Palack\u00fd University Olomouc","ror":"https://ror.org/04qxnmv42","country_code":"CZ","type":"education","lineage":["https://openalex.org/I70703428"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Petr Kraj\u010da","raw_affiliation_strings":["Department of Computer Science, Palacky University Olomouc, 17. listopadu 12, 77146, Olomouc, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0003-4278-3130","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Palacky University Olomouc, 17. listopadu 12, 77146, Olomouc, Czech Republic","institution_ids":["https://openalex.org/I70703428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051622668","display_name":"Martin Trne\u010dka","orcid":"https://orcid.org/0000-0001-7770-2033"},"institutions":[{"id":"https://openalex.org/I70703428","display_name":"Palack\u00fd University Olomouc","ror":"https://ror.org/04qxnmv42","country_code":"CZ","type":"education","lineage":["https://openalex.org/I70703428"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Martin Trnecka","raw_affiliation_strings":["Department of Computer Science, Palacky University Olomouc, 17. listopadu 12, 77146, Olomouc, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0001-7770-2033","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Palacky University Olomouc, 17. listopadu 12, 77146, Olomouc, Czech Republic","institution_ids":["https://openalex.org/I70703428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040674482"],"corresponding_institution_ids":["https://openalex.org/I70703428"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12204746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"169","last_page":"181"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.789974570274353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.735287070274353},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7054504156112671},{"id":"https://openalex.org/keywords/logical-matrix","display_name":"Logical matrix","score":0.5260764956474304},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4685571789741516},{"id":"https://openalex.org/keywords/standard-boolean-model","display_name":"Standard Boolean model","score":0.46707016229629517},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4330018162727356},{"id":"https://openalex.org/keywords/boolean-algebra","display_name":"Boolean algebra","score":0.43218931555747986},{"id":"https://openalex.org/keywords/boolean-expression","display_name":"Boolean expression","score":0.41934534907341003},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41365963220596313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38293054699897766},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3577196002006531},{"id":"https://openalex.org/keywords/boolean-function","display_name":"Boolean function","score":0.3432714343070984},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30987149477005005},{"id":"https://openalex.org/keywords/and-inverter-graph","display_name":"And-inverter graph","score":0.2568780779838562},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12096726894378662},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.078473299741745}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.789974570274353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.735287070274353},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7054504156112671},{"id":"https://openalex.org/C163561899","wikidata":"https://www.wikidata.org/wiki/Q1994977","display_name":"Logical matrix","level":3,"score":0.5260764956474304},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4685571789741516},{"id":"https://openalex.org/C68481662","wikidata":"https://www.wikidata.org/wiki/Q176197","display_name":"Standard Boolean model","level":5,"score":0.46707016229629517},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4330018162727356},{"id":"https://openalex.org/C39685927","wikidata":"https://www.wikidata.org/wiki/Q173183","display_name":"Boolean algebra","level":2,"score":0.43218931555747986},{"id":"https://openalex.org/C158465420","wikidata":"https://www.wikidata.org/wiki/Q1979515","display_name":"Boolean expression","level":3,"score":0.41934534907341003},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41365963220596313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38293054699897766},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3577196002006531},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.3432714343070984},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30987149477005005},{"id":"https://openalex.org/C196836630","wikidata":"https://www.wikidata.org/wiki/Q4753279","display_name":"And-inverter graph","level":4,"score":0.2568780779838562},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12096726894378662},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.078473299741745},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-00202-2_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-00202-2_14","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W65111453","https://openalex.org/W91151155","https://openalex.org/W312353537","https://openalex.org/W1497640967","https://openalex.org/W1503729935","https://openalex.org/W1535673504","https://openalex.org/W1546001247","https://openalex.org/W1551747214","https://openalex.org/W2026235741","https://openalex.org/W2035922847","https://openalex.org/W2047142510","https://openalex.org/W2098411764","https://openalex.org/W2554244554","https://openalex.org/W2615977679","https://openalex.org/W4255318870"],"related_works":["https://openalex.org/W2157812200","https://openalex.org/W2465207115","https://openalex.org/W2131164334","https://openalex.org/W2107037376","https://openalex.org/W2187008505","https://openalex.org/W3141532631","https://openalex.org/W4312990447","https://openalex.org/W4288044863","https://openalex.org/W1597210521","https://openalex.org/W2105128170"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
