{"id":"https://openalex.org/W2013729009","doi":"https://doi.org/10.1145/1807167.1807261","title":"Towards proximity pattern mining in large graphs","display_name":"Towards proximity pattern mining in large graphs","publication_year":2010,"publication_date":"2010-06-06","ids":{"openalex":"https://openalex.org/W2013729009","doi":"https://doi.org/10.1145/1807167.1807261","mag":"2013729009"},"language":"en","primary_location":{"id":"doi:10.1145/1807167.1807261","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1807167.1807261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM SIGMOD International Conference on Management of data","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/A5019024971","display_name":"Arijit Khan","orcid":"https://orcid.org/0000-0002-7312-6312"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arijit Khan","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047709762","display_name":"Xifeng Yan","orcid":"https://orcid.org/0009-0000-6508-4792"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xifeng Yan","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102105135","display_name":"Kun\u2010Lung Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kun-Lung Wu","raw_affiliation_strings":["IBM T.J. Watson research Center, Hawthorne, NY, USA","IBM T.J. Watson Research Center, Hawthorne, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson research Center, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM T.J. Watson Research Center, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019024971"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":12.8548,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.98401843,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"867","last_page":"878"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9596999883651733,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.911899983882904,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/malware","display_name":"Malware","score":0.8068496584892273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7364161014556885},{"id":"https://openalex.org/keywords/graph-isomorphism","display_name":"Graph isomorphism","score":0.5471557378768921},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5241209268569946},{"id":"https://openalex.org/keywords/isomorphism","display_name":"Isomorphism (crystallography)","score":0.47327184677124023},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46219876408576965},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44373083114624023},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4203084111213684},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4136379063129425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27647894620895386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14526674151420593},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1079433262348175},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10787457227706909}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.8068496584892273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364161014556885},{"id":"https://openalex.org/C61665672","wikidata":"https://www.wikidata.org/wiki/Q303100","display_name":"Graph isomorphism","level":4,"score":0.5471557378768921},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5241209268569946},{"id":"https://openalex.org/C203436722","wikidata":"https://www.wikidata.org/wiki/Q902950","display_name":"Isomorphism (crystallography)","level":3,"score":0.47327184677124023},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46219876408576965},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44373083114624023},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4203084111213684},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4136379063129425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27647894620895386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14526674151420593},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1079433262348175},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10787457227706909},{"id":"https://openalex.org/C115624301","wikidata":"https://www.wikidata.org/wiki/Q895901","display_name":"Crystal structure","level":2,"score":0.0},{"id":"https://openalex.org/C8010536","wikidata":"https://www.wikidata.org/wiki/Q160398","display_name":"Crystallography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1807167.1807261","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1807167.1807261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM SIGMOD International Conference on Management of data","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.719.6074","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.719.6074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.inf.ethz.ch/khana/Papers/association_rule.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W4909282","https://openalex.org/W174207204","https://openalex.org/W230663966","https://openalex.org/W1482810056","https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1510837191","https://openalex.org/W1546962148","https://openalex.org/W1573579329","https://openalex.org/W1641749581","https://openalex.org/W1667165204","https://openalex.org/W1963699033","https://openalex.org/W1970259423","https://openalex.org/W1975068437","https://openalex.org/W1977186326","https://openalex.org/W2019486799","https://openalex.org/W2036488048","https://openalex.org/W2044074944","https://openalex.org/W2052296830","https://openalex.org/W2064853889","https://openalex.org/W2066506515","https://openalex.org/W2099270246","https://openalex.org/W2099404336","https://openalex.org/W2100406636","https://openalex.org/W2108697621","https://openalex.org/W2110034858","https://openalex.org/W2112776329","https://openalex.org/W2119148238","https://openalex.org/W2131374321","https://openalex.org/W2134351561","https://openalex.org/W2136593687","https://openalex.org/W2153301229","https://openalex.org/W2154454189","https://openalex.org/W2161723275","https://openalex.org/W2162481448","https://openalex.org/W2164281374","https://openalex.org/W2166559705","https://openalex.org/W2170726034","https://openalex.org/W2317800347","https://openalex.org/W2486074288","https://openalex.org/W2996402732","https://openalex.org/W3122956723","https://openalex.org/W4252403066","https://openalex.org/W4285719527","https://openalex.org/W6600201224","https://openalex.org/W6628750762","https://openalex.org/W6634264458","https://openalex.org/W6674846173","https://openalex.org/W7024001005"],"related_works":["https://openalex.org/W1258892498","https://openalex.org/W1522618089","https://openalex.org/W2905073546","https://openalex.org/W3080158623","https://openalex.org/W4360838296","https://openalex.org/W2187958446","https://openalex.org/W1856194915","https://openalex.org/W2389075355","https://openalex.org/W2494517118","https://openalex.org/W2183579781"],"abstract_inverted_index":{"Mining":[0],"graph":[1],"patterns":[2],"in":[3,31],"large":[4],"networks":[5],"is":[6],"critical":[7],"to":[8,27,35],"a":[9],"variety":[10],"of":[11,38],"applications":[12],"such":[13],"as":[14],"malware":[15],"detection":[16],"and":[17,41],"biological":[18],"module":[19],"discovery.":[20],"However,":[21],"frequent":[22],"subgraphs":[23],"are":[24],"often":[25],"ineffective":[26],"capture":[28],"association":[29],"existing":[30],"these":[32],"applications,":[33],"due":[34],"the":[36,42],"complexity":[37],"isomorphism":[39],"testing":[40],"inelastic":[43],"pattern":[44],"definition.":[45]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":9}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}