{"id":"https://openalex.org/W3027429291","doi":"https://doi.org/10.1145/3384613.3384640","title":"Study on a New Method of Rare Pattern Mining Based on QAR Data","display_name":"Study on a New Method of Rare Pattern Mining Based on QAR Data","publication_year":2020,"publication_date":"2020-02-14","ids":{"openalex":"https://openalex.org/W3027429291","doi":"https://doi.org/10.1145/3384613.3384640","mag":"3027429291"},"language":"en","primary_location":{"id":"doi:10.1145/3384613.3384640","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3384613.3384640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Computer and Automation Engineering","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/A5014070150","display_name":"Gang Cheng","orcid":"https://orcid.org/0000-0002-0462-3411"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gang Cheng","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Technology Hubei, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Technology Hubei, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761251","display_name":"Shu Gao","orcid":"https://orcid.org/0000-0002-1100-6139"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Gao","raw_affiliation_strings":["Hubei Key Laboratory of Transportation Internet of Things, Wuhan University of Technology, Hubei, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Transportation Internet of Things, Wuhan University of Technology, Hubei, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101609964","display_name":"Fan Luo","orcid":"https://orcid.org/0009-0006-8465-1848"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Luo","raw_affiliation_strings":["School of Management, Wuhan University of Technology Hubei, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Wuhan University of Technology Hubei, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014070150"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07057772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9975000023841858,"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":0.9975000023841858,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9905999898910522,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9839000105857849,"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/computer-science","display_name":"Computer science","score":0.7886817455291748},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7636644840240479},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6496187448501587},{"id":"https://openalex.org/keywords/sequential-pattern-mining","display_name":"Sequential Pattern Mining","score":0.5273003578186035},{"id":"https://openalex.org/keywords/rare-events","display_name":"Rare events","score":0.5024757385253906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33599141240119934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32685303688049316},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07362809777259827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07264283299446106}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7886817455291748},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7636644840240479},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6496187448501587},{"id":"https://openalex.org/C149490388","wikidata":"https://www.wikidata.org/wiki/Q1718507","display_name":"Sequential Pattern Mining","level":2,"score":0.5273003578186035},{"id":"https://openalex.org/C2777317252","wikidata":"https://www.wikidata.org/wiki/Q18393516","display_name":"Rare events","level":2,"score":0.5024757385253906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33599141240119934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32685303688049316},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07362809777259827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07264283299446106},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3384613.3384640","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3384613.3384640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Computer and Automation Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1967379394","https://openalex.org/W3202755325","https://openalex.org/W4230928538"],"related_works":["https://openalex.org/W2182671244","https://openalex.org/W2382453007","https://openalex.org/W2109246626","https://openalex.org/W2186344989","https://openalex.org/W2479652880","https://openalex.org/W2114934675","https://openalex.org/W2360314140","https://openalex.org/W2307029566","https://openalex.org/W807005383","https://openalex.org/W2187554351"],"abstract_inverted_index":{"Most":[0],"pattern":[1,11,21,25,41],"mining":[2,12,22,42,139],"methods":[3],"concentrate":[4],"on":[5,44],"finding":[6],"frequent":[7,20],"pattern.":[8],"However,":[9],"rare":[10,24,40,49],"in":[13,78,112,123],"some":[14],"cases":[15],"is":[16,52],"more":[17],"interesting":[18],"than":[19],"since":[23],"represents":[26],"unexpected":[27],"or":[28],"unknown":[29],"information.":[30],"In":[31],"this":[32,124],"paper,":[33],"we":[34],"propose":[35],"a":[36],"new":[37],"method":[38,60,122],"of":[39,63,84,87,97],"based":[43],"QAR":[45,67],"data":[46],"to":[47,54,73,106,136],"mine":[48],"patterns":[50],"which":[51],"related":[53],"pilot":[55,70,108],"unsafe":[56,71,109],"manipulation.":[57],"The":[58,115,141],"proposed":[59,121],"takes":[61],"advantage":[62],"the":[64,75,85,92,113,120,138],"correlation":[65],"between":[66],"parameter":[68],"and":[69,81,131,146],"manipulation":[72,110],"define":[74],"item":[76,79],"order":[77],"set":[80],"makes":[82],"use":[83],"concept":[86],"global":[88],"support":[89],"degree.":[90],"At":[91],"same":[93],"time,":[94],"4":[95],"types":[96],"focused":[98],"overrun":[99],"events":[100],"are":[101,134],"used":[102],"as":[103],"entry":[104],"points":[105],"explore":[107],"scenarios":[111],"experiments.":[114],"experimental":[116],"results":[117],"show":[118],"that":[119],"paper":[125],"reduces":[126],"execution":[127],"time.":[128],"Finally,":[129],"pilots":[130],"regulatory":[132],"experts":[133],"invited":[135],"confirm":[137],"results.":[140],"feedback":[142],"verify":[143],"method's":[144],"feasible":[145],"effective.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
