{"id":"https://openalex.org/W2029731518","doi":"https://doi.org/10.1109/fskd.2012.6233927","title":"Mining frequent maximal cliques efficiently by global view graph","display_name":"Mining frequent maximal cliques efficiently by global view graph","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2029731518","doi":"https://doi.org/10.1109/fskd.2012.6233927","mag":"2029731518"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2012.6233927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6233927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","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/A5006070343","display_name":"Guanling Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I33096239","display_name":"National Dong Hwa University","ror":"https://ror.org/00mng9617","country_code":"TW","type":"education","lineage":["https://openalex.org/I33096239"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Guanling Lee","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan","Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan, R. O. C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan","institution_ids":["https://openalex.org/I33096239"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan, R. O. C","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025918292","display_name":"Sheng\u2010Lung Peng","orcid":"https://orcid.org/0000-0002-9484-6677"},"institutions":[{"id":"https://openalex.org/I33096239","display_name":"National Dong Hwa University","ror":"https://ror.org/00mng9617","country_code":"TW","type":"education","lineage":["https://openalex.org/I33096239"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Lung Peng","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan","Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan, R. O. C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan","institution_ids":["https://openalex.org/I33096239"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan, R. O. C","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053155578","display_name":"Shih-Wei Kuo","orcid":null},"institutions":[{"id":"https://openalex.org/I33096239","display_name":"National Dong Hwa University","ror":"https://ror.org/00mng9617","country_code":"TW","type":"education","lineage":["https://openalex.org/I33096239"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shih-Wei Kuo","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan","Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan, R. O. C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan","institution_ids":["https://openalex.org/I33096239"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan, R. O. C","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109305608","display_name":"Yi\u2010Chun Chen","orcid":"https://orcid.org/0009-0003-4035-9894"},"institutions":[{"id":"https://openalex.org/I33096239","display_name":"National Dong Hwa University","ror":"https://ror.org/00mng9617","country_code":"TW","type":"education","lineage":["https://openalex.org/I33096239"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Chun Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan","Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan, R. O. C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan","institution_ids":["https://openalex.org/I33096239"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan, R. O. C","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006070343"],"corresponding_institution_ids":["https://openalex.org/I33096239"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.16207138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1362","last_page":"1366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9993000030517578,"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":0.9993000030517578,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9991999864578247,"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/T12016","display_name":"Web Data Mining and Analysis","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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.6305471658706665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6078357100486755},{"id":"https://openalex.org/keywords/block-graph","display_name":"Block graph","score":0.6054911017417908},{"id":"https://openalex.org/keywords/clique-graph","display_name":"Clique graph","score":0.5546718835830688},{"id":"https://openalex.org/keywords/clique-width","display_name":"Clique-width","score":0.4957174062728882},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47896793484687805},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.46170005202293396},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4513779878616333},{"id":"https://openalex.org/keywords/distance-hereditary-graph","display_name":"Distance-hereditary graph","score":0.4109792709350586},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.36452770233154297},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.289792537689209},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2571980357170105},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.25127753615379333},{"id":"https://openalex.org/keywords/pathwidth","display_name":"Pathwidth","score":0.19012302160263062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12688234448432922}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.6305471658706665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6078357100486755},{"id":"https://openalex.org/C43413943","wikidata":"https://www.wikidata.org/wiki/Q4927193","display_name":"Block graph","level":5,"score":0.6054911017417908},{"id":"https://openalex.org/C189239283","wikidata":"https://www.wikidata.org/wiki/Q17101022","display_name":"Clique graph","level":5,"score":0.5546718835830688},{"id":"https://openalex.org/C5737132","wikidata":"https://www.wikidata.org/wiki/Q1101814","display_name":"Clique-width","level":5,"score":0.4957174062728882},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47896793484687805},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.46170005202293396},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4513779878616333},{"id":"https://openalex.org/C147792647","wikidata":"https://www.wikidata.org/wiki/Q5282847","display_name":"Distance-hereditary graph","level":5,"score":0.4109792709350586},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.36452770233154297},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.289792537689209},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2571980357170105},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.25127753615379333},{"id":"https://openalex.org/C43517604","wikidata":"https://www.wikidata.org/wiki/Q7144893","display_name":"Pathwidth","level":4,"score":0.19012302160263062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12688234448432922}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2012.6233927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6233927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1581746758","https://openalex.org/W1842663434","https://openalex.org/W2054340289","https://openalex.org/W2106650313","https://openalex.org/W2122634693","https://openalex.org/W2134122907","https://openalex.org/W2141115288","https://openalex.org/W6675823202","https://openalex.org/W6680132782"],"related_works":["https://openalex.org/W2794565019","https://openalex.org/W1561005397","https://openalex.org/W2264356384","https://openalex.org/W2044762907","https://openalex.org/W2098381534","https://openalex.org/W2016823805","https://openalex.org/W2097999883","https://openalex.org/W2952247896","https://openalex.org/W4232461730","https://openalex.org/W2977853658"],"abstract_inverted_index":{"Graph":[0],"mining":[1,38,110],"problem":[2,26],"has":[3],"been":[4],"a":[5,20,29,51,62,75,126],"popular":[6],"research":[7],"issue":[8],"in":[9,61,86,96],"recent":[10],"years.":[11],"Many":[12],"kind":[13],"of":[14,36,64,128,136],"data":[15],"can":[16],"be":[17],"represented":[18],"as":[19],"graph":[21,31,37,88,99],"and":[22,59],"solve":[23],"the":[24,34,45,69,87,97,106,115,134],"particular":[25],"by":[27,120],"using":[28],"specific":[30,52],"algorithm.":[32],"Recently,":[33],"applications":[35],"are":[39,71],"growing":[40],"quantity.":[41],"In":[42,66],"this":[43],"paper,":[44],"main":[46],"subject":[47],"is":[48,57,80,130],"to":[49,101,132],"find":[50],"topology":[53],"called":[54],"clique":[55,84,109],"which":[56],"maximal":[58,108],"frequent":[60,107],"set":[63,127],"graphs.":[65],"our":[67,102,137],"approach,":[68],"graphs":[70],"first":[72],"summarized":[73,98],"into":[74],"global":[76,116],"view":[77,117],"graph.":[78,118],"It":[79],"shown":[81],"that":[82],"any":[83],"contains":[85],"database,":[89],"there":[90],"must":[91],"exist":[92],"an":[93],"isomorphic":[94],"subgraph":[95],"according":[100],"summarization":[103],"process.":[104],"Therefore,":[105],"process":[111],"will":[112],"focus":[113],"on":[114],"Moreover,":[119],"comparing":[121],"with":[122],"other":[123],"existing":[124],"methods,":[125],"experiments":[129],"performed":[131],"show":[133],"benefit":[135],"approach.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}