{"id":"https://openalex.org/W2092970194","doi":"https://doi.org/10.1145/1008694.1008702","title":"Diagonally Subgraphs Pattern Mining","display_name":"Diagonally Subgraphs Pattern Mining","publication_year":2004,"publication_date":"2004-06-13","ids":{"openalex":"https://openalex.org/W2092970194","doi":"https://doi.org/10.1145/1008694.1008702","mag":"2092970194"},"language":"en","primary_location":{"id":"doi:10.1145/1008694.1008702","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1008694.1008702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining 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/A5017804745","display_name":"Moti Cohen","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Moti Cohen","raw_affiliation_strings":["Ben-Gurion University, Beer-Sheva, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ben-Gurion University, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101602501","display_name":"Ehud Gudes","orcid":"https://orcid.org/0000-0003-0687-086X"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ehud Gudes","raw_affiliation_strings":["Ben-Gurion University, Beer-Sheva, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ben-Gurion University, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.269,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.96536096,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9957000017166138,"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/T11106","display_name":"Data Management and Algorithms","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6987314820289612},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6767632365226746},{"id":"https://openalex.org/keywords/enumeration","display_name":"Enumeration","score":0.5893551707267761},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.5739447474479675},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.5102381706237793},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49283838272094727},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.47017019987106323},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4272354543209076},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42318984866142273},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4128454327583313},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.351059228181839},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21526306867599487},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1097474992275238}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6987314820289612},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6767632365226746},{"id":"https://openalex.org/C156340839","wikidata":"https://www.wikidata.org/wiki/Q2704791","display_name":"Enumeration","level":2,"score":0.5893551707267761},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.5739447474479675},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.5102381706237793},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49283838272094727},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.47017019987106323},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4272354543209076},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42318984866142273},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4128454327583313},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.351059228181839},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21526306867599487},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1097474992275238},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1008694.1008702","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1008694.1008702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery","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":19,"referenced_works":["https://openalex.org/W230663966","https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1585991258","https://openalex.org/W1641749581","https://openalex.org/W2030766291","https://openalex.org/W2108560469","https://openalex.org/W2118349699","https://openalex.org/W2119148238","https://openalex.org/W2134356404","https://openalex.org/W2140190241","https://openalex.org/W2153301229","https://openalex.org/W2168209541","https://openalex.org/W2170726034","https://openalex.org/W2753693129","https://openalex.org/W3145128584","https://openalex.org/W4285719527","https://openalex.org/W6680704940","https://openalex.org/W7029321148"],"related_works":["https://openalex.org/W108845024","https://openalex.org/W2406961474","https://openalex.org/W4300125793","https://openalex.org/W2578985712","https://openalex.org/W2952598754","https://openalex.org/W3042106073","https://openalex.org/W2143566611","https://openalex.org/W4251460363","https://openalex.org/W588267724","https://openalex.org/W2057205169"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"an":[5],"efficient":[6,56],"algorithm,":[7],"called":[8],"DSPM,":[9],"for":[10,80,84],"mining":[11,37],"all":[12,68],"frequent":[13,69],"subgraphs":[14],"in":[15,26,33],"large":[16],"set":[17],"of":[18,63,103],"graphs.":[19],"The":[20],"algorithm":[21,43],"explores":[22],"the":[23,41,47,60,100,104],"search":[24],"space":[25],"a":[27,77],"DFS":[28],"fashion,":[29],"while":[30],"generating":[31],"candidates":[32],"advance":[34],"to":[35,59],"each":[36],"phase":[38],"just":[39],"like":[40],"Apriori":[42],"does.":[44],"It":[45],"combines":[46],"candidate":[48],"generation":[49],"and":[50],"anti":[51],"monotone":[52],"pruning":[53],"into":[54],"one":[55],"operation":[57],"thanks":[58],"unique":[61],"mode":[62],"exploration.":[64],"DSPM":[65,92],"efficiently":[66],"enumerates":[67],"patterns":[70],"by":[71],"using":[72],"diagonal":[73],"search,":[74],"which":[75],"is":[76],"general":[78],"scheme":[79],"designing":[81],"effective":[82],"algorithms":[83],"hard":[85],"enumeration":[86],"problems.":[87],"Our":[88],"experiments":[89],"show":[90],"that":[91],"has":[93],"better":[94],"performance,":[95],"from":[96],"several":[97],"aspects,":[98],"than":[99],"current":[101],"state":[102],"art":[105],"-":[106],"gSpan":[107],"algorithm.":[108]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
