{"id":"https://openalex.org/W2981684894","doi":"https://doi.org/10.1145/3358528.3358549","title":"An Illegal Billboard Advertisement Detection Framework Based on Machine Learning","display_name":"An Illegal Billboard Advertisement Detection Framework Based on Machine Learning","publication_year":2019,"publication_date":"2019-08-28","ids":{"openalex":"https://openalex.org/W2981684894","doi":"https://doi.org/10.1145/3358528.3358549","mag":"2981684894"},"language":"en","primary_location":{"id":"doi:10.1145/3358528.3358549","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3358528.3358549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Big Data Technologies","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/A5055650781","display_name":"Huxiao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huxiao Liu","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Science), Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Provincial Key Laboratory of Computer Networks, Jinan City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Science), Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Provincial Key Laboratory of Computer Networks, Jinan City, China","institution_ids":["https://openalex.org/I152269853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005738289","display_name":"Lianhai Wang","orcid":"https://orcid.org/0000-0002-5701-3465"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianhai Wang","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Science), Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Provincial Key Laboratory of Computer Networks, Jinan City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Science), Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Provincial Key Laboratory of Computer Networks, Jinan City, China","institution_ids":["https://openalex.org/I152269853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102020193","display_name":"Weinan Zhang","orcid":"https://orcid.org/0000-0001-5553-178X"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weinan Zhang","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Science), Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Provincial Key Laboratory of Computer Networks, Jinan City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Science), Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Provincial Key Laboratory of Computer Networks, Jinan City, China","institution_ids":["https://openalex.org/I152269853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116337743","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-2411-7399"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Science), Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Provincial Key Laboratory of Computer Networks, Jinan City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Science), Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Provincial Key Laboratory of Computer Networks, Jinan City, China","institution_ids":["https://openalex.org/I152269853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I152269853"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"159","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9998000264167786,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9998000264167786,"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/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.9894000291824341,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9782000184059143,"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/advertising","display_name":"Advertising","score":0.7321611642837524},{"id":"https://openalex.org/keywords/harm","display_name":"Harm","score":0.6353788375854492},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.6046834588050842},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5746001601219177},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4597568213939667},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.4208022654056549},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.33301395177841187},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21182188391685486}],"concepts":[{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.7321611642837524},{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.6353788375854492},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.6046834588050842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5746001601219177},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4597568213939667},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4208022654056549},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.33301395177841187},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21182188391685486},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3358528.3358549","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3358528.3358549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Big Data Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1773541209","https://openalex.org/W1977280442","https://openalex.org/W1985683032","https://openalex.org/W1988993616","https://openalex.org/W2012286502","https://openalex.org/W2014742088","https://openalex.org/W2326965785","https://openalex.org/W2405958784","https://openalex.org/W2491054514","https://openalex.org/W2606740176","https://openalex.org/W2612460748","https://openalex.org/W2620921183","https://openalex.org/W2773572362","https://openalex.org/W2896457183","https://openalex.org/W2963341956","https://openalex.org/W6644032154"],"related_works":["https://openalex.org/W2389103123","https://openalex.org/W2822431343","https://openalex.org/W2494922359","https://openalex.org/W2365317092","https://openalex.org/W2184126337","https://openalex.org/W1774906551","https://openalex.org/W3174195475","https://openalex.org/W2010214462","https://openalex.org/W635153678","https://openalex.org/W2260685520"],"abstract_inverted_index":{"Illegal":[0],"advertising":[1,28,101,114,168],"constantly":[2],"infringes":[3],"on":[4,26,51,66,117,160],"consumers'":[5],"rights":[6],"and":[7,30,70,85,149],"interests.":[8],"If":[9],"we":[10,106,177],"can't":[11],"effectively":[12],"suppress":[13],"the":[14,27,32,40,45,59,94,140,154,175,179],"spread":[15],"of":[16,39,43,47,58,93,99,122,133,136,181],"illegal":[17,48,61,67,78,88,112],"advertisements,":[18,69],"it":[19],"will":[20],"have":[21],"a":[22,109,134,164,171,184],"serious":[23],"negative":[24],"impact":[25],"industry":[29],"even":[31],"market":[33],"environment.":[34,102],"Because":[35],"billboards":[36],"are":[37],"one":[38,92],"main":[41],"carriers":[42],"advertising,":[44],"harm":[46],"billboard":[49,79,89,113],"advertisements":[50,90],"consumers":[52],"cannot":[53],"be":[54],"ignored.":[55],"However,":[56],"most":[57],"existing":[60],"advertisement":[62,128,147,156],"detection":[63,75,115],"technologies":[64],"focus":[65],"Internet":[68],"there":[71],"is":[72,91,143],"no":[73],"effective":[74],"technology":[76],"for":[77,111,145,166],"advertisements.":[80],"Therefore,":[81],"how":[82],"to":[83],"accurately":[84],"efficiently":[86],"detect":[87],"difficulties":[95],"in":[96],"our":[97],"work":[98],"purifying":[100],"In":[103,174],"this":[104],"paper,":[105],"propose":[107],"FIBAD,":[108],"framework":[110],"based":[116,159],"machine":[118],"learning.":[119],"FIBAD":[120,182],"consists":[121],"two":[123],"functional":[124],"modules,":[125],"including":[126],"an":[127],"information":[129,148,169],"extraction":[130],"module":[131,158],"composed":[132],"plurality":[135],"classifiers":[137],"trained":[138],"by":[139],"BERT,":[141],"which":[142,162],"responsible":[144],"extracting":[146],"judging":[150],"unmarked":[151],"data.":[152],"And":[153],"same":[155],"retrieval":[157],"CNN,":[161],"provides":[163],"channel":[165],"retrieving":[167],"from":[170],"self-built":[172],"database.":[173],"experiment,":[176],"demonstrate":[178],"effectiveness":[180],"through":[183],"real":[185],"data":[186],"set.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
