{"id":"https://openalex.org/W2156652258","doi":"https://doi.org/10.1007/s10462-010-9166-x","title":"A study of spam filtering using support vector machines","display_name":"A study of spam filtering using support vector machines","publication_year":2010,"publication_date":"2010-05-22","ids":{"openalex":"https://openalex.org/W2156652258","doi":"https://doi.org/10.1007/s10462-010-9166-x","mag":"2156652258"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-010-9166-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10462-010-9166-x","pdf_url":null,"source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","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/A5076244418","display_name":"Ola Amayri","orcid":"https://orcid.org/0000-0003-3672-5997"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ola Amayri","raw_affiliation_strings":["Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090600716","display_name":"Nizar Bouguila","orcid":"https://orcid.org/0000-0001-7224-7940"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nizar Bouguila","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076244418"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":10.7957,"has_fulltext":false,"cited_by_count":102,"citation_normalized_percentile":{"value":0.9815767,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"34","issue":"1","first_page":"73","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.8708675503730774},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7744201421737671},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6795930862426758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.626451849937439},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5506970286369324},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5096044540405273},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5029565691947937},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49087244272232056},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4887220859527588},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4759766161441803},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46621188521385193},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.4488874673843384},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08110833168029785}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8708675503730774},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7744201421737671},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6795930862426758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.626451849937439},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5506970286369324},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5096044540405273},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5029565691947937},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49087244272232056},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4887220859527588},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4759766161441803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46621188521385193},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.4488874673843384},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08110833168029785},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10462-010-9166-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10462-010-9166-x","pdf_url":null,"source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W5526034","https://openalex.org/W73527130","https://openalex.org/W130021640","https://openalex.org/W179694669","https://openalex.org/W189856620","https://openalex.org/W203990329","https://openalex.org/W1484084878","https://openalex.org/W1493036841","https://openalex.org/W1504008138","https://openalex.org/W1514940655","https://openalex.org/W1521843029","https://openalex.org/W1553435762","https://openalex.org/W1560724230","https://openalex.org/W1564518192","https://openalex.org/W1574862351","https://openalex.org/W1575130722","https://openalex.org/W1576676390","https://openalex.org/W1601379374","https://openalex.org/W1680579736","https://openalex.org/W1845402413","https://openalex.org/W1965751196","https://openalex.org/W1987436126","https://openalex.org/W1998167411","https://openalex.org/W1998350371","https://openalex.org/W2015585187","https://openalex.org/W2020816856","https://openalex.org/W2041597619","https://openalex.org/W2063484628","https://openalex.org/W2098162425","https://openalex.org/W2105948726","https://openalex.org/W2107008379","https://openalex.org/W2108807072","https://openalex.org/W2111765516","https://openalex.org/W2112591325","https://openalex.org/W2118020653","https://openalex.org/W2119290215","https://openalex.org/W2119821739","https://openalex.org/W2120011452","https://openalex.org/W2125667824","https://openalex.org/W2126502509","https://openalex.org/W2128054009","https://openalex.org/W2128860039","https://openalex.org/W2132641846","https://openalex.org/W2133324003","https://openalex.org/W2139823104","https://openalex.org/W2148603752","https://openalex.org/W2149684865","https://openalex.org/W2149950545","https://openalex.org/W2150621701","https://openalex.org/W2151023586","https://openalex.org/W2158522957","https://openalex.org/W2164547069","https://openalex.org/W2167384224","https://openalex.org/W2169384781","https://openalex.org/W2394489512","https://openalex.org/W2533703023","https://openalex.org/W2916045930","https://openalex.org/W2981332192","https://openalex.org/W3102463115","https://openalex.org/W3195149063","https://openalex.org/W4238546739","https://openalex.org/W4244811734","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W1987128138","https://openalex.org/W2743976221"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}