{"id":"https://openalex.org/W2806168072","doi":"https://doi.org/10.1007/978-3-319-92028-3_6","title":"Supervised Multiclass Classifier for Autocoding Based on Partition Coefficient","display_name":"Supervised Multiclass Classifier for Autocoding Based on Partition Coefficient","publication_year":2018,"publication_date":"2018-05-30","ids":{"openalex":"https://openalex.org/W2806168072","doi":"https://doi.org/10.1007/978-3-319-92028-3_6","mag":"2806168072"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-92028-3_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-92028-3_6","pdf_url":null,"source":{"id":"https://openalex.org/S4210172046","display_name":"Smart innovation, systems and technologies","issn_l":"2190-3018","issn":["2190-3018","2190-3026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Innovation, Systems and Technologies","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/A5080750258","display_name":"Yukako Toko","orcid":"https://orcid.org/0000-0001-8358-9751"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yukako Toko","raw_affiliation_strings":["National Statistics Center, 19-1 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8668, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8358-9751","affiliations":[{"raw_affiliation_string":"National Statistics Center, 19-1 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8668, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024325832","display_name":"Kazumi Wada","orcid":"https://orcid.org/0000-0002-9578-1588"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazumi Wada","raw_affiliation_strings":["National Statistics Center, 19-1 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8668, Japan"],"raw_orcid":"https://orcid.org/0000-0002-9578-1588","affiliations":[{"raw_affiliation_string":"National Statistics Center, 19-1 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8668, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001837650","display_name":"Shinya Iijima","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shinya Iijima","raw_affiliation_strings":["National Statistics Center, 19-1 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8668, Japan"],"raw_orcid":"https://orcid.org/0000-0002-3805-1909","affiliations":[{"raw_affiliation_string":"National Statistics Center, 19-1 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8668, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046294812","display_name":"Mika Sato\u2010Ilic","orcid":"https://orcid.org/0000-0003-1266-1853"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mika Sato-Ilic","raw_affiliation_strings":["Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Ibaraki, 305-8573, Japan","National Statistics Center, 19-1 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8668, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1266-1853","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Ibaraki, 305-8573, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"National Statistics Center, 19-1 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8668, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080750258"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.543,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67231701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9914000034332275,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9914000034332275,"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/T10057","display_name":"Face and Expression Recognition","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9724000096321106,"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/multiclass-classification","display_name":"Multiclass classification","score":0.7728708386421204},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.690488338470459},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.6189666986465454},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5680306553840637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5514925718307495},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.534825325012207},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4759366512298584},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.465410977602005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4287775754928589},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.41146188974380493},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3400801420211792},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27452874183654785},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.18688878417015076}],"concepts":[{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.7728708386421204},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.690488338470459},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.6189666986465454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5680306553840637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5514925718307495},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.534825325012207},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4759366512298584},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.465410977602005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4287775754928589},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.41146188974380493},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3400801420211792},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27452874183654785},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.18688878417015076},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-92028-3_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-92028-3_6","pdf_url":null,"source":{"id":"https://openalex.org/S4210172046","display_name":"Smart innovation, systems and technologies","issn_l":"2190-3018","issn":["2190-3018","2190-3026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Innovation, Systems and Technologies","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":6,"referenced_works":["https://openalex.org/W165283731","https://openalex.org/W1508853606","https://openalex.org/W2113076747","https://openalex.org/W2251410829","https://openalex.org/W2591159053","https://openalex.org/W2892449330"],"related_works":["https://openalex.org/W2162083125","https://openalex.org/W1483596504","https://openalex.org/W2009506202","https://openalex.org/W58702947","https://openalex.org/W47559851","https://openalex.org/W2297694731","https://openalex.org/W204488290","https://openalex.org/W2096969571","https://openalex.org/W2040550925","https://openalex.org/W206493657"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
