{"id":"https://openalex.org/W2143591287","doi":"https://doi.org/10.1109/icnc.2011.6022591","title":"Using linear discriminant analysis and data mining approaches to identify E-commerce anomaly","display_name":"Using linear discriminant analysis and data mining approaches to identify E-commerce anomaly","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2143591287","doi":"https://doi.org/10.1109/icnc.2011.6022591","mag":"2143591287"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2011.6022591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2011.6022591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Seventh International Conference on Natural Computation","raw_type":"proceedings-article"},"type":"conference-paper","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/A5087186760","display_name":"Zijiang Yang","orcid":"https://orcid.org/0000-0001-6469-5217"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zijiang Yang","raw_affiliation_strings":["School of Information Technology York University, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068233168","display_name":"Shouxin Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Shouxin Cao","raw_affiliation_strings":["School of Information Technology York University, Toronto, Canada","[Department of Computer Science, Beijing Institute of Technology, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"[Department of Computer Science, Beijing Institute of Technology, China]","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022104639","display_name":"Bo Yan","orcid":"https://orcid.org/0000-0002-1251-2674"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Bo Yan","raw_affiliation_strings":["School of Information Technology York University, Toronto, Canada","[Department of Computer Science, Beijing Institute of Technology, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"[Department of Computer Science, Beijing Institute of Technology, China]","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2406","last_page":"2410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965000152587891,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.996399998664856,"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":0.9962999820709229,"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/data-mining","display_name":"Data mining","score":0.6473060846328735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6202479004859924},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6144804954528809},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5935183763504028},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5899360179901123},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5691421031951904},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.5543010830879211},{"id":"https://openalex.org/keywords/e-commerce","display_name":"E-commerce","score":0.534435510635376},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.49505892395973206},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.436831533908844},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3663504123687744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25343257188796997},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12532129883766174},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.10810098052024841},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08121505379676819}],"concepts":[{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6473060846328735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6202479004859924},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6144804954528809},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5935183763504028},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5899360179901123},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5691421031951904},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.5543010830879211},{"id":"https://openalex.org/C78597825","wikidata":"https://www.wikidata.org/wiki/Q484847","display_name":"E-commerce","level":2,"score":0.534435510635376},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.49505892395973206},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.436831533908844},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3663504123687744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25343257188796997},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12532129883766174},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.10810098052024841},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08121505379676819},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2011.6022591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2011.6022591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Seventh International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1503939560","https://openalex.org/W1563088657","https://openalex.org/W2029949252","https://openalex.org/W2035365877","https://openalex.org/W2050741632","https://openalex.org/W2140190241","https://openalex.org/W2148603752","https://openalex.org/W2156909104","https://openalex.org/W2912934387","https://openalex.org/W4212883601","https://openalex.org/W4300402905"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Electronic":[0],"commerce":[1],"has":[2],"been":[3],"rather":[4],"pervasive":[5],"in":[6],"our":[7,93],"life":[8],"today.":[9],"However,":[10,62],"the":[11,52,63,67,73,76,85,98,106],"damage":[12],"is":[13,80],"equally":[14],"pervasive.":[15],"For":[16],"Business":[17],"to":[18,50,82],"Consumer":[19],"type":[20],"of":[21,25,31,75],"E-commerce,":[22],"various":[23],"types":[24],"E-commerce":[26,53,99],"anomaly":[27,100],"usually":[28],"incurs":[29],"loss":[30],"revenue,":[32],"reduced":[33],"customer":[34],"satisfaction":[35],"and":[36,46],"compromised":[37],"business":[38],"confidentiality.":[39],"This":[40],"paper":[41],"proposes":[42],"linear":[43],"discriminant":[44],"analysis":[45],"data":[47,56,65,68,74,87],"mining":[48,57,69],"approaches":[49,58,70],"identify":[51,97],"anomaly.":[54],"The":[55,89,102],"yield":[59],"superior":[60],"performance.":[61],"unbalanced":[64,86],"make":[66],"dominated":[71],"by":[72],"majority":[77],"class.":[78],"LDA":[79],"introduced":[81],"deal":[83],"with":[84],"set.":[88],"results":[90,107],"indicate":[91],"that":[92],"proposed":[94],"methods":[95],"can":[96],"precisely.":[101],"practice":[103],"insights":[104],"from":[105],"are":[108],"also":[109],"given.":[110]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
