{"id":"https://openalex.org/W2099200944","doi":"https://doi.org/10.1109/wkdd.2008.42","title":"The Spam Filtering Technology Based on SVM and D-S Theory","display_name":"The Spam Filtering Technology Based on SVM and D-S Theory","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2099200944","doi":"https://doi.org/10.1109/wkdd.2008.42","mag":"2099200944"},"language":"en","primary_location":{"id":"doi:10.1109/wkdd.2008.42","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wkdd.2008.42","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","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/A5087341258","display_name":"Miao Ye","orcid":"https://orcid.org/0009-0001-9533-8922"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Ye","raw_affiliation_strings":["Network Information Center, GuiLin Institute of Industrial Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Network Information Center, GuiLin Institute of Industrial Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067132635","display_name":"Qiuxiang Jiang","orcid":"https://orcid.org/0000-0002-5790-2334"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiu-Xiang Jiang","raw_affiliation_strings":["Department of Computer Science, GuiLin Institute of Industrial Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, GuiLin Institute of Industrial Technology, Guilin, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031930086","display_name":"Mai Fan-jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan-Jin Mai","raw_affiliation_strings":["Department of Computer Science, GuiLin Institute of Industrial Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, GuiLin Institute of Industrial Technology, Guilin, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5072,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6063098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"562","last_page":"565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9988999962806702,"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":0.9983000159263611,"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/support-vector-machine","display_name":"Support vector machine","score":0.7798573970794678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7546422481536865},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6443606019020081},{"id":"https://openalex.org/keywords/bag-of-words-model","display_name":"Bag-of-words model","score":0.4824660122394562},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47998687624931335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45672282576560974},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45631512999534607},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38844379782676697}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7798573970794678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546422481536865},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6443606019020081},{"id":"https://openalex.org/C13672336","wikidata":"https://www.wikidata.org/wiki/Q3460803","display_name":"Bag-of-words model","level":2,"score":0.4824660122394562},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47998687624931335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45672282576560974},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45631512999534607},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38844379782676697},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wkdd.2008.42","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wkdd.2008.42","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W53494650","https://openalex.org/W1484485089","https://openalex.org/W1563088657","https://openalex.org/W1604388503","https://openalex.org/W2095484565","https://openalex.org/W2169384781","https://openalex.org/W2435251607","https://openalex.org/W6602213661"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W1948992892","https://openalex.org/W2104657898","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W1980100242","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W4315815996"],"abstract_inverted_index":{"The":[0],"development":[1],"of":[2,8,21,56,83],"spam":[3,9,35,84],"techniques":[4],"and":[5,41,59,63],"rapid":[6],"increase":[7],"amount":[10],"poses":[11],"a":[12],"severe":[13],"challenge":[14],"to":[15,49,53,67],"anti-spam":[16],"technologies.":[17],"Given":[18],"the":[19,34,54,69,76,81],"limitation":[20],"classification":[22],"based":[23,38],"on":[24,32,39],"mail":[25,57,60],"body":[26,61],"textual":[27],"content,":[28],"this":[29],"paper":[30],"focuses":[31],"designing":[33],"discrimination":[36],"model":[37,78],"SVM":[40,46],"D-S":[42,65],"theory,":[43],"which":[44],"uses":[45,64],"with":[47],"probability":[48],"classify":[50],"e-mail,":[51],"according":[52],"features":[55],"headers":[58],"respectively,":[62],"Theory":[66],"judge":[68],"combination":[70],"result.":[71],"Experimental":[72],"result":[73],"indicates":[74],"that":[75],"proposed":[77],"can":[79],"improve":[80],"accuracy":[82],"identification.":[85]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
