{"id":"https://openalex.org/W2547429469","doi":"https://doi.org/10.1109/icacci.2016.7732394","title":"A survey on extracting frequent subgraphs","display_name":"A survey on extracting frequent subgraphs","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2547429469","doi":"https://doi.org/10.1109/icacci.2016.7732394","mag":"2547429469"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2016.7732394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2016.7732394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5027555008","display_name":"Susanna Thomas","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Susanna Thomas","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Engineering Amritapuri Amrita Vishwa Vidyapeetham Amrita University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Engineering Amritapuri Amrita Vishwa Vidyapeetham Amrita University, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041549614","display_name":"Jyothisha J. Nair","orcid":"https://orcid.org/0000-0002-8050-8896"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jyothisha. J. Nair","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Engineering Amritapuri Amrita Vishwa Vidyapeetham Amrita University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Engineering Amritapuri Amrita Vishwa Vidyapeetham Amrita University, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4518,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.93745431,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2290","last_page":"2295"},"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/T11719","display_name":"Data Quality and Management","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9873999953269958,"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/computer-science","display_name":"Computer science","score":0.6563726663589478},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4677082896232605},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4633619785308838},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4521033465862274},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43288591504096985}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563726663589478},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4677082896232605},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4633619785308838},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4521033465862274},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43288591504096985},{"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:10.1109/icacci.2016.7732394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2016.7732394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311327","display_name":"Amrita Vishwa Vidyapeetham University","ror":"https://ror.org/03am10p12"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1510837191","https://openalex.org/W1592376869","https://openalex.org/W1605319014","https://openalex.org/W1641749581","https://openalex.org/W1974111257","https://openalex.org/W2004734764","https://openalex.org/W2027770225","https://openalex.org/W2090474597","https://openalex.org/W2102039273","https://openalex.org/W2102135646","https://openalex.org/W2108150886","https://openalex.org/W2118349699","https://openalex.org/W2124996875","https://openalex.org/W2130426318","https://openalex.org/W2136593687","https://openalex.org/W2162481448","https://openalex.org/W2400499165","https://openalex.org/W6628750762"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Mining":[0],"on":[1,30],"graphs":[2,13],"has":[3],"become":[4],"quiet":[5],"popular":[6],"because":[7],"of":[8,12,21,26,39,48,52,73,125,132],"the":[9,19,24,37,71,105,123,126,130],"increasing":[10],"use":[11],"in":[14,43,70,101,129],"real":[15],"world":[16],"applications.":[17],"Considering":[18],"importance":[20],"graph":[22],"applications,":[23],"problem":[25],"finding":[27],"frequent":[28,40,53,74,109,133],"itemsets":[29],"transactional":[31],"databases":[32],"can":[33,80],"be":[34],"transformed":[35],"to":[36,57,103,118],"mining":[38,55],"subgraphs":[41,62,75,84,100],"present":[42],"a":[44],"single":[45],"or":[46],"set":[47],"graphs.":[49],"The":[50,67],"objective":[51],"subgraph":[54,134],"is":[56,117],"extract":[58],"interesting":[59],"and":[60,87,107],"meaningful":[61],"which":[63],"have":[64],"occurred":[65],"frequently.":[66],"research":[68],"goals":[69],"discovery":[72],"are":[76],"(i)":[77],"mechanisms":[78,89],"that":[79,90,95],"effectively":[81],"generate":[82,96],"candidate":[83,99],"excluding":[85],"duplicates":[86],"(ii)":[88],"find":[91],"best":[92],"processing":[93],"techniques":[94],"only":[97],"necessary":[98],"order":[102],"discover":[104],"useful":[106],"desired":[108],"subgraphs.":[110],"In":[111],"this":[112],"paper,":[113],"our":[114],"prime":[115],"focus":[116],"give":[119],"an":[120],"overview":[121],"about":[122],"state":[124],"art":[127],"methods":[128],"area":[131],"mining.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
