{"id":"https://openalex.org/W4206745596","doi":"https://doi.org/10.1108/dta-09-2021-0233","title":"Feature distillation and accumulated selection for automated fraudulent publisher classification from user click data of online advertising","display_name":"Feature distillation and accumulated selection for automated fraudulent publisher classification from user click data of online advertising","publication_year":2022,"publication_date":"2022-01-05","ids":{"openalex":"https://openalex.org/W4206745596","doi":"https://doi.org/10.1108/dta-09-2021-0233"},"language":"en","primary_location":{"id":"doi:10.1108/dta-09-2021-0233","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-09-2021-0233","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-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/A5017874265","display_name":"Deepti Sisodia","orcid":"https://orcid.org/0000-0002-0338-1270"},"institutions":[{"id":"https://openalex.org/I38335241","display_name":"National Institute of Technology Raipur","ror":"https://ror.org/02y553197","country_code":"IN","type":"education","lineage":["https://openalex.org/I38335241"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Deepti Sisodia","raw_affiliation_strings":["Computer Science and Engineering, National Institute of Technology Raipur, Raipur, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, National Institute of Technology Raipur, Raipur, India","institution_ids":["https://openalex.org/I38335241"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013636671","display_name":"Dilip Singh Sisodia","orcid":null},"institutions":[{"id":"https://openalex.org/I38335241","display_name":"National Institute of Technology Raipur","ror":"https://ror.org/02y553197","country_code":"IN","type":"education","lineage":["https://openalex.org/I38335241"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dilip Singh Sisodia","raw_affiliation_strings":["Computer Science and Engineering, National Institute of Technology Raipur, Raipur, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, National Institute of Technology Raipur, Raipur, India","institution_ids":["https://openalex.org/I38335241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017874265"],"corresponding_institution_ids":["https://openalex.org/I38335241"],"apc_list":null,"apc_paid":null,"fwci":1.379,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8359839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"56","issue":"4","first_page":"602","last_page":"625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9987999796867371,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9987999796867371,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9973000288009644,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9922000169754028,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.8254122138023376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7063510417938232},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6943989992141724},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5889313817024231},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5709682703018188},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5636277794837952},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5470494031906128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5437321662902832},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5216532349586487},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3418521583080292}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8254122138023376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7063510417938232},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6943989992141724},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5889313817024231},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5709682703018188},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5636277794837952},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5470494031906128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5437321662902832},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5216532349586487},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3418521583080292},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/dta-09-2021-0233","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-09-2021-0233","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W214353307","https://openalex.org/W369254515","https://openalex.org/W1965395679","https://openalex.org/W1967211424","https://openalex.org/W1996020380","https://openalex.org/W1999466943","https://openalex.org/W2017337590","https://openalex.org/W2050431484","https://openalex.org/W2069321575","https://openalex.org/W2082548634","https://openalex.org/W2162661304","https://openalex.org/W2167101736","https://openalex.org/W2182722412","https://openalex.org/W2188988097","https://openalex.org/W2260771218","https://openalex.org/W2346331195","https://openalex.org/W2435251607","https://openalex.org/W2599451414","https://openalex.org/W2811407760","https://openalex.org/W2888728157","https://openalex.org/W2911964244","https://openalex.org/W2916641566","https://openalex.org/W2964278775","https://openalex.org/W2966860845","https://openalex.org/W3028690466","https://openalex.org/W3099088926","https://openalex.org/W3111444395","https://openalex.org/W3165792205","https://openalex.org/W3168512044","https://openalex.org/W4239855301"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Purpose":[0],"The":[1,195],"problem":[2],"of":[3,11,40,78,82,84,113,155],"choosing":[4],"the":[5,38,48,79,110,118,235],"utmost":[6],"useful":[7],"features":[8,12,115,132,181],"from":[9,13,133],"hundreds":[10],"time-series":[14],"user":[15],"click":[16],"data":[17,202],"arises":[18],"in":[19,33,64,124,182,189],"online":[20],"advertising":[21],"toward":[22],"fraudulent":[23,120],"publisher's":[24,119],"classification.":[25,193],"Selecting":[26],"feature":[27,67,85,96,100,128,138,157,164,220,224,231],"subsets":[28,221],"is":[29,43,76,106,197,241],"a":[30,92],"key":[31],"issue":[32],"such":[34,73,90],"classification":[35,177],"tasks.":[36],"Practically,":[37],"use":[39],"filter":[41,135],"approaches":[42,54],"common;":[44],"however,":[45],"they":[46],"neglect":[47],"correlations":[49],"amid":[50],"features.":[51,249],"Conversely,":[52],"wrapper":[53,137],"could":[55,70],"not":[56,71],"be":[57],"applied":[58],"due":[59],"to":[60,108,159,208,243],"their":[61],"complexities.":[62],"Moreover,":[63],"particular,":[65],"existing":[66],"selection":[68,97,104,139,225],"methods":[69,140],"handle":[72],"data,":[74],"which":[75],"one":[77],"major":[80],"causes":[81],"instability":[83],"selection.":[86],"Design/methodology/approach":[87],"To":[88],"overcome":[89],"issues,":[91],"majority":[93,144],"voting-based":[94],"hybrid":[95],"method,":[98],"namely":[99],"distillation":[101],"and":[102,136,187,192,203],"accumulated":[103,147,153],"(FDAS),":[105],"proposed":[107,180,236],"investigate":[109],"optimal":[111,163,230],"subset":[112,158,165,232],"relevant":[114,156,219],"for":[116,161],"analyzing":[117],"conduct.":[121],"FDAS":[122,196],"works":[123],"two":[125],"phases:":[126],"(1)":[127],"distillation,":[129],"where":[130,149],"significant":[131,245],"standard":[134],"are":[141],"obtained":[142,233],"using":[143,166],"voting;":[145],"(2)":[146],"selection,":[148],"we":[150],"enumerated":[151],"an":[152,162],"evaluation":[154],"search":[160],"effective":[167],"machine":[168],"learning":[169],"(ML)":[170],"models.":[171],"Findings":[172],"Empirical":[173],"results":[174],"prove":[175],"enhanced":[176],"performance":[178],"with":[179,218,229],"average":[183],"precision,":[184],"recall,":[185],"f1-score":[186],"AUC":[188],"publisher":[190],"identification":[191],"Originality/value":[194],"evaluated":[198],"on":[199],"FDMA2012":[200],"user-click":[201],"nine":[204],"other":[205],"benchmark":[206],"datasets":[207],"gauge":[209],"its":[210],"generalizing":[211],"characteristics,":[212],"first,":[213],"considering":[214],"original":[215],"features,":[216],"second,":[217],"selected":[222],"by":[223,234],"(FS)":[226],"methods,":[227],"third,":[228],"approach.":[237],"ANOVA":[238],"significance":[239],"test":[240],"conducted":[242],"demonstrate":[244],"differences":[246],"between":[247],"independent":[248]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
