{"id":"https://openalex.org/W2784113040","doi":"https://doi.org/10.1109/iske.2017.8258723","title":"A intelligent risk detection method in online transactions","display_name":"A intelligent risk detection method in online transactions","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2784113040","doi":"https://doi.org/10.1109/iske.2017.8258723","mag":"2784113040"},"language":"en","primary_location":{"id":"doi:10.1109/iske.2017.8258723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2017.8258723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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/A5101402282","display_name":"Min Xu","orcid":"https://orcid.org/0000-0002-9245-3765"},"institutions":[{"id":"https://openalex.org/I4210138978","display_name":"Nanjing University of the Arts","ror":"https://ror.org/0457pxg28","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210138978"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Xu","raw_affiliation_strings":["College of Computer Science and Technology NUAA, NanJing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology NUAA, NanJing, China","institution_ids":["https://openalex.org/I4210138978"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038647194","display_name":"Yifan Chu","orcid":"https://orcid.org/0000-0003-4998-8219"},"institutions":[{"id":"https://openalex.org/I4210138978","display_name":"Nanjing University of the Arts","ror":"https://ror.org/0457pxg28","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210138978"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Chu","raw_affiliation_strings":["College of Computer Science and Technology NUAA, NanJing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology NUAA, NanJing, China","institution_ids":["https://openalex.org/I4210138978"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101402282"],"corresponding_institution_ids":["https://openalex.org/I4210138978"],"apc_list":null,"apc_paid":null,"fwci":0.4836,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7667325,"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":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12479","display_name":"Web Application Security Vulnerabilities","score":0.9994000196456909,"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/T12479","display_name":"Web Application Security Vulnerabilities","score":0.9994000196456909,"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":0.9952999949455261,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.993399977684021,"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":0.7929382920265198},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6013718247413635},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5387597680091858},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4661117196083069},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.43403512239456177},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4165569543838501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3164074420928955},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1250036060810089},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.10764598846435547},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09796985983848572}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7929382920265198},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6013718247413635},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5387597680091858},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4661117196083069},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.43403512239456177},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4165569543838501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3164074420928955},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1250036060810089},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.10764598846435547},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09796985983848572},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske.2017.8258723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2017.8258723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1567760138","https://openalex.org/W1983845824","https://openalex.org/W2166381878","https://openalex.org/W2359185941","https://openalex.org/W2363172845","https://openalex.org/W2444103203","https://openalex.org/W2545998132","https://openalex.org/W3183184492","https://openalex.org/W6634001781","https://openalex.org/W6707838083","https://openalex.org/W6729462204"],"related_works":["https://openalex.org/W2394466068","https://openalex.org/W1987683558","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2726838704","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W2537862391","https://openalex.org/W2417174640"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,27,30,48,65],"issue":[3],"of":[4,29,37,40],"risk":[5,15,21,75],"detection":[6,16],"in":[7,43],"e-commerce":[8],"platform,":[9],"this":[10],"paper":[11],"presents":[12],"an":[13],"intelligent":[14],"method":[17,33],"that":[18],"can":[19],"detect":[20],"quickly":[22],"and":[23,46,58,68],"accurately":[24],"without":[25],"hampering":[26],"performance":[28],"system.":[31],"This":[32],"makes":[34],"full":[35],"use":[36],"all":[38],"kinds":[39],"data":[41,67],"collected":[42],"on-line":[44],"transactions":[45],"extracts":[47],"features":[49],"from":[50],"them.":[51],"Some":[52],"theorems":[53],"such":[54],"as":[55],"Bayes":[56],"network":[57],"clustering":[59],"are":[60],"also":[61],"introduced":[62],"to":[63],"classify":[64],"featured":[66],"finally":[69],"work":[70],"out":[71],"a":[72],"solution":[73],"for":[74],"detection.":[76]},"counts_by_year":[{"year":2022,"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"}