{"id":"https://openalex.org/W2898342512","doi":"https://doi.org/10.1145/3242102.3242130","title":"Network Alarm Flood Pattern Mining Algorithm Based on Multi-dimensional Association","display_name":"Network Alarm Flood Pattern Mining Algorithm Based on Multi-dimensional Association","publication_year":2018,"publication_date":"2018-10-25","ids":{"openalex":"https://openalex.org/W2898342512","doi":"https://doi.org/10.1145/3242102.3242130","mag":"2898342512"},"language":"en","primary_location":{"id":"doi:10.1145/3242102.3242130","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3242102.3242130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems","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/A5057954028","display_name":"Xudong Zhang","orcid":"https://orcid.org/0000-0001-8492-3432"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xudong Zhang","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101593745","display_name":"Yuebin Bai","orcid":"https://orcid.org/0000-0002-2544-3989"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuebin Bai","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089698297","display_name":"Peng Feng","orcid":"https://orcid.org/0000-0001-8486-7055"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Feng","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011471818","display_name":"Wang Wei-tao","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weitao Wang","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101614546","display_name":"Shuai Liu","orcid":"https://orcid.org/0000-0001-8377-3719"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Liu","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024453719","display_name":"Wenhao Jiang","orcid":"https://orcid.org/0000-0002-0795-366X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Jiang","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109716342","display_name":"Junfang Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfang Zeng","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100431163","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0001-9048-2979"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5057954028"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.5536,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7105506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9933000206947327,"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/data-mining","display_name":"Data mining","score":0.7210729122161865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7185247540473938},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.7080363035202026},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.6959429979324341},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5819438099861145},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5575220584869385},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5297927260398865},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4309276044368744},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42967942357063293},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.4250376224517822},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39295271039009094},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12625378370285034},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0831483006477356}],"concepts":[{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7210729122161865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7185247540473938},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7080363035202026},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.6959429979324341},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5819438099861145},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5575220584869385},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5297927260398865},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4309276044368744},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42967942357063293},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.4250376224517822},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39295271039009094},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12625378370285034},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0831483006477356},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3242102.3242130","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3242102.3242130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W34981189","https://openalex.org/W617862632","https://openalex.org/W1560691396","https://openalex.org/W1598923322","https://openalex.org/W1661413208","https://openalex.org/W1970201121","https://openalex.org/W2028680669","https://openalex.org/W2070847340","https://openalex.org/W2087870291","https://openalex.org/W2090638693","https://openalex.org/W2107994908","https://openalex.org/W2158456748","https://openalex.org/W2161415693","https://openalex.org/W2169943939","https://openalex.org/W2397583266","https://openalex.org/W4237786406","https://openalex.org/W4252403066","https://openalex.org/W4252701106"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W1584123598","https://openalex.org/W2731305060","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2392697706","https://openalex.org/W366033468"],"abstract_inverted_index":{"In":[0],"the":[1,17,29,48,63,81,93,97,101,105,109,121,139,146,158],"process":[2],"of":[3,9,19,31,53,65,72,83,100],"network":[4,49,163],"operation,":[5],"a":[6,114],"large":[7],"number":[8],"alerts":[10],"are":[11],"generated":[12],"every":[13],"day,":[14],"which":[15,88,124],"reflect":[16],"occurrence":[18],"some":[20,40],"abnormal":[21],"conditions.":[22],"Traditional":[23],"methods":[24,154],"depend":[25],"too":[26],"much":[27],"on":[28,120],"knowledge":[30],"equipment":[32],"manufacturers":[33],"and":[34],"industry":[35],"experts,":[36],"so":[37],"we":[38,95,112],"need":[39],"novel":[41],"ways":[42],"to":[43,57,103,126],"overcome":[44],"this":[45],"problem":[46],"in":[47,143,155],"management.":[50],"The":[51],"application":[52,76],"data":[54,102],"mining":[55,92,117,153],"technology":[56],"alarm":[58,160,164],"pattern":[59,86,116,152,161],"analysis":[60],"has":[61],"become":[62],"focus":[64],"current":[66],"research.":[67],"Researchers":[68],"developed":[69],"many":[70],"kinds":[71],"algorithms":[73],"fitting":[74],"different":[75],"characteristics.":[77],"This":[78],"paper":[79],"proposes":[80],"concept":[82],"association":[84,106,122,144],"matrix":[85,123],"mining,":[87],"means":[89],"that":[90,137],"before":[91],"data,":[94],"use":[96],"multi-dimensional":[98,140],"information":[99,141],"construct":[104],"matrices":[107],"between":[108],"items.":[110],"And":[111],"develop":[113],"conditional":[115],"algorithm":[118,147],"based":[119],"aims":[125],"find":[127],"out":[128,157],"less":[129],"but":[130],"more":[131],"meaning":[132],"results.":[133],"Our":[134],"experiments":[135],"validate":[136],"with":[138],"stored":[142],"matrix,":[145],"performs":[148],"better":[149],"than":[150],"traditional":[151],"finding":[156],"detailed":[159],"from":[162],"flood.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}