{"id":"https://openalex.org/W2578323649","doi":"https://doi.org/10.2352/issn.2470-1173.2016.17.drr-063","title":"Recognizing Predatory Chat Documents using Semi-supervised Anomaly Detection","display_name":"Recognizing Predatory Chat Documents using Semi-supervised Anomaly Detection","publication_year":2016,"publication_date":"2016-02-17","ids":{"openalex":"https://openalex.org/W2578323649","doi":"https://doi.org/10.2352/issn.2470-1173.2016.17.drr-063","mag":"2578323649"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2016.17.drr-063","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.17.drr-063","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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/A5100555713","display_name":"Mohammadreza Ebrahimi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammadreza Ebrahimi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059479627","display_name":"Ching Y. Suen","orcid":"https://orcid.org/0000-0003-1209-7631"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ching Y. Suen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017331013","display_name":"Olga Ormandjieva","orcid":"https://orcid.org/0000-0001-5641-9765"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Olga Ormandjieva","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5046164638","display_name":"Adam Krzy\u017cak","orcid":"https://orcid.org/0000-0003-0766-2659"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adam Krzyzak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6823,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.93946084,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"28","issue":"17","first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7540928721427917},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6480305194854736},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.626198947429657},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6016838550567627},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5814251899719238},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5673067569732666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5561368465423584},{"id":"https://openalex.org/keywords/law-enforcement","display_name":"Law enforcement","score":0.4970290958881378},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.49645787477493286},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4717441499233246},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.425325483083725},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.41513270139694214},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4109545648097992},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38162460923194885},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3802354037761688},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20221862196922302},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08920913934707642}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7540928721427917},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6480305194854736},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.626198947429657},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6016838550567627},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5814251899719238},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5673067569732666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5561368465423584},{"id":"https://openalex.org/C2780262971","wikidata":"https://www.wikidata.org/wiki/Q44554","display_name":"Law enforcement","level":2,"score":0.4970290958881378},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.49645787477493286},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4717441499233246},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.425325483083725},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.41513270139694214},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4109545648097992},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38162460923194885},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3802354037761688},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20221862196922302},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08920913934707642},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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:10.2352/issn.2470-1173.2016.17.drr-063","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.17.drr-063","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1529007202","https://openalex.org/W1568089063","https://openalex.org/W1986534176","https://openalex.org/W2081251349","https://openalex.org/W2101577940","https://openalex.org/W2105497548","https://openalex.org/W2109810937","https://openalex.org/W2122646361","https://openalex.org/W2132870739","https://openalex.org/W2134490011","https://openalex.org/W2141410518","https://openalex.org/W2143559571","https://openalex.org/W2153635508","https://openalex.org/W2155524176","https://openalex.org/W2159742886","https://openalex.org/W2161920802","https://openalex.org/W2395353570","https://openalex.org/W2401457948"],"related_works":["https://openalex.org/W4327772909","https://openalex.org/W320167972","https://openalex.org/W3186233728","https://openalex.org/W2595988085","https://openalex.org/W2979979539","https://openalex.org/W2539163683","https://openalex.org/W3127425528","https://openalex.org/W4313549251","https://openalex.org/W4311106074","https://openalex.org/W3105251098"],"abstract_inverted_index":{"Chat-logs":[0],"are":[1],"informative":[2],"documents":[3,88,103],"available":[4],"to":[5,15,120,187],"nowadays":[6],"social":[7],"network":[8],"providers.":[9],"Providers":[10],"and":[11,45,82,112,158,216],"law":[12,66],"enforcement":[13],"tend":[14],"use":[16,155],"these":[17],"huge":[18],"logs":[19],"anonymously":[20],"for":[21,141,173],"automatic":[22,57],"online":[23,51],"Sexual":[24],"Predator":[25],"Identification":[26],"(SPI)":[27],"which":[28,135,154,204],"is":[29,89,176,185],"a":[30,72,99,116,177],"relatively":[31],"new":[32,117],"area":[33],"of":[34,59,75,79,102,147,189,212],"application.":[35],"The":[36],"task":[37],"plays":[38],"an":[39,126],"important":[40],"role":[41],"in":[42,62,92,181,210],"protecting":[43],"children":[44],"juveniles":[46],"against":[47,150],"being":[48],"exploited":[49],"by":[50,65,124],"predators.":[52],"Pattern":[53],"recognition":[54],"techniques":[55,69],"facilitate":[56],"identification":[58],"harmful":[60],"conversations":[61],"cyber":[63],"space":[64],"enforcements.":[67],"These":[68],"usually":[70],"require":[71,138],"large":[73,100],"volume":[74],"high-quality":[76],"training":[77,174],"instances":[78],"both":[80,156,213],"predatory":[81],"non-predatory":[83,87,139],"documents.":[84],"However,":[85],"collecting":[86],"not":[90,137],"practical":[91],"real-world":[93],"applications,":[94],"since":[95],"this":[96,122,148,195],"category":[97],"contains":[98],"variety":[101],"with":[104],"many":[105],"topics":[106],"including":[107],"politics,":[108],"sports,":[109],"science,":[110],"technology":[111],"etc.":[113],"We":[114,143,161],"utilized":[115],"semi-supervised":[118],"approach":[119,149,167,196],"mitigate":[121],"problem":[123],"adapting":[125],"anomaly":[127,165],"detection":[128,166],"technique":[129],"called":[130],"One-class":[131],"Support":[132],"Vector":[133],"Machine":[134],"does":[136],"samples":[140],"training.":[142],"compared":[144],"the":[145,198],"performance":[146,184],"other":[151],"state-of-the-art":[152],"methods":[153],"positive":[157],"negative":[159],"instances.":[160],"observed":[162],"that":[163,188],"although":[164],"utilizes":[168],"only":[169],"one":[170],"class":[171],"label":[172],"(which":[175],"very":[178],"desirable":[179],"property":[180],"practice);":[182],"its":[183],"comparable":[186],"binary":[190],"SVM":[191],"classification.":[192],"In":[193],"addition,":[194],"outperforms":[197],"classic":[199],"two-class":[200],"Na&#xEF;ve":[201],"Bayes":[202],"algorithm,":[203],"we":[205],"used":[206],"as":[207],"our":[208],"baseline,":[209],"terms":[211],"classification":[214],"accuracy":[215],"precision.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-07T14:30:12.667765","created_date":"2025-10-10T00:00:00"}
