{"id":"https://openalex.org/W2117465961","doi":"https://doi.org/10.1109/fuzz.2002.1006619","title":"Toward knowledge-driven spiral discovery of exception rules","display_name":"Toward knowledge-driven spiral discovery of exception rules","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2117465961","doi":"https://doi.org/10.1109/fuzz.2002.1006619","mag":"2117465961"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2002.1006619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2002.1006619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291)","raw_type":"proceedings-article"},"type":"article","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/A5036672958","display_name":"Yutaro Yamada","orcid":"https://orcid.org/0009-0008-1807-4602"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Y. Yamada","raw_affiliation_strings":["Electrical and Computer Engineering, Yokohama National University, Yokohama, Japan","Div. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Yokohama National University, Yokohama, Japan","institution_ids":["https://openalex.org/I180203408"]},{"raw_affiliation_string":"Div. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049568882","display_name":"Einoshin Suzuki","orcid":"https://orcid.org/0000-0001-7743-6177"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"E. Suzuki","raw_affiliation_strings":["Electrical and Computer Engineering, Yokohama National University, Yokohama, Japan","Div. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Yokohama National University, Yokohama, Japan","institution_ids":["https://openalex.org/I180203408"]},{"raw_affiliation_string":"Div. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan","institution_ids":["https://openalex.org/I180203408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036672958"],"corresponding_institution_ids":["https://openalex.org/I180203408"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14020297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"872","last_page":"877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9858999848365784,"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/knowledge-extraction","display_name":"Knowledge extraction","score":0.8177594542503357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7081573605537415},{"id":"https://openalex.org/keywords/k-optimal-pattern-discovery","display_name":"K-optimal pattern discovery","score":0.6997501850128174},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.5555558204650879},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5433138608932495},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5035330653190613},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49698618054389954},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.42885956168174744},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42688822746276855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35244685411453247},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3523980975151062},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35044875741004944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10070386528968811},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0977969765663147},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.057574570178985596}],"concepts":[{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.8177594542503357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7081573605537415},{"id":"https://openalex.org/C105445830","wikidata":"https://www.wikidata.org/wiki/Q6322855","display_name":"K-optimal pattern discovery","level":3,"score":0.6997501850128174},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.5555558204650879},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5433138608932495},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5035330653190613},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49698618054389954},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.42885956168174744},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42688822746276855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35244685411453247},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3523980975151062},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35044875741004944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10070386528968811},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0977969765663147},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.057574570178985596},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz.2002.1006619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2002.1006619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W8020788","https://openalex.org/W120164235","https://openalex.org/W188261905","https://openalex.org/W1509982167","https://openalex.org/W1523293200","https://openalex.org/W1538262848","https://openalex.org/W1553696291","https://openalex.org/W1562152585","https://openalex.org/W1585743408","https://openalex.org/W1605470802","https://openalex.org/W1678889691","https://openalex.org/W1793332665","https://openalex.org/W1969733464","https://openalex.org/W1974265704","https://openalex.org/W1997200791","https://openalex.org/W2045816045","https://openalex.org/W2099321136","https://openalex.org/W2111591725","https://openalex.org/W2136663836","https://openalex.org/W2137676449","https://openalex.org/W2138420488","https://openalex.org/W4285719527","https://openalex.org/W6600335895","https://openalex.org/W6607589558","https://openalex.org/W6631217308","https://openalex.org/W6633402183","https://openalex.org/W6635046684","https://openalex.org/W6636433711","https://openalex.org/W6680524319"],"related_works":["https://openalex.org/W2549557753","https://openalex.org/W4243448361","https://openalex.org/W753330326","https://openalex.org/W2054759342","https://openalex.org/W2051700896","https://openalex.org/W1552255772","https://openalex.org/W2475408106","https://openalex.org/W1520100787","https://openalex.org/W2357854711","https://openalex.org/W2904591968"],"abstract_inverted_index":{"We":[0,36,75],"report":[1],"our":[2],"preliminary":[3],"endeavour":[4],"for":[5,42],"spiral":[6],"discovery":[7,44,78],"of":[8,15,45,70,84],"exception":[9,18,46,85],"rules":[10,47,86],"based":[11],"on":[12],"discovered":[13],"pieces":[14],"knowledge.":[16],"An":[17],"rule,":[19,28],"which":[20,80],"represents":[21],"a":[22,26,39,77,95],"deviational":[23],"pattern":[24],"to":[25,56,67,94],"general":[27,50,89],"exhibits":[29],"unexpectedness":[30],"and":[31,48,64,87,91],"is":[32],"sometimes":[33],"extremely":[34],"useful.":[35],"have":[37],"proposed":[38],"domain-independent":[40],"approach":[41],"simultaneous":[43],"their":[49,88],"rules.":[51],"Exceptions":[52],"are":[53],"always":[54],"interesting":[55],"discoverers,":[57],"as":[58],"they":[59],"challenge":[60],"the":[61,68],"existing":[62],"knowledge":[63,71,100],"often":[65],"lead":[66],"growth":[69],"in":[72,99],"new":[73],"directions.":[74],"propose":[76],"method":[79],"exploits":[81],"pre-discovered":[82],"pairs":[83],"rules,":[90],"apply":[92],"it":[93],"benchmark":[96],"data":[97],"set":[98],"discovery.":[101]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
