{"id":"https://openalex.org/W2898358980","doi":"https://doi.org/10.1109/asonam.2018.8508265","title":"Text Mining for Plagiarism Detection: Multivariate Pattern Detection for Recognition of Text Similarities","display_name":"Text Mining for Plagiarism Detection: Multivariate Pattern Detection for Recognition of Text Similarities","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2898358980","doi":"https://doi.org/10.1109/asonam.2018.8508265","mag":"2898358980"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2018.8508265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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/A5083041537","display_name":"Konstantinos F. Xylogiannopoulos","orcid":"https://orcid.org/0000-0003-2376-898X"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Konstantinos Xylogiannopoulos","raw_affiliation_strings":["Department of Computer Science, University of Calgary, Calgary, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Calgary, Calgary, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034281379","display_name":"Panagiotis Karampelas","orcid":"https://orcid.org/0000-0003-1684-7612"},"institutions":[{"id":"https://openalex.org/I2802113776","display_name":"Hellenic Air Force","ror":"https://ror.org/044xk2674","country_code":"GR","type":"government","lineage":["https://openalex.org/I2802113776"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panagiotis Karampelas","raw_affiliation_strings":["Division of Informatics & Computer, Hellenic Air Force Academy, Dekelia, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Informatics & Computer, Hellenic Air Force Academy, Dekelia, Greece","institution_ids":["https://openalex.org/I2802113776"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066265052","display_name":"Reda Alhajj","orcid":"https://orcid.org/0000-0001-6657-9738"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Reda Alhajj","raw_affiliation_strings":["Department of Computer Science, University of Calgary, Calgary, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Calgary, Calgary, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9858,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90903388,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"938","last_page":"945"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11492","display_name":"Academic integrity and plagiarism","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11492","display_name":"Academic integrity and plagiarism","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9973000288009644,"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/T10028","display_name":"Topic Modeling","score":0.9943000078201294,"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":0.8218835592269897},{"id":"https://openalex.org/keywords/plagiarism-detection","display_name":"Plagiarism detection","score":0.6684194207191467},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5441161394119263},{"id":"https://openalex.org/keywords/digital-library","display_name":"Digital library","score":0.49340859055519104},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4894670248031616},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4671435058116913},{"id":"https://openalex.org/keywords/pattern-detection","display_name":"Pattern detection","score":0.4505411684513092},{"id":"https://openalex.org/keywords/digital-forensics","display_name":"Digital forensics","score":0.4375876188278198},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4212772250175476},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.41188710927963257},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32335028052330017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2728124260902405},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21876975893974304}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8218835592269897},{"id":"https://openalex.org/C2780907237","wikidata":"https://www.wikidata.org/wiki/Q2986238","display_name":"Plagiarism detection","level":2,"score":0.6684194207191467},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5441161394119263},{"id":"https://openalex.org/C513874922","wikidata":"https://www.wikidata.org/wiki/Q212805","display_name":"Digital library","level":3,"score":0.49340859055519104},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4894670248031616},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4671435058116913},{"id":"https://openalex.org/C2776088427","wikidata":"https://www.wikidata.org/wiki/Q378859","display_name":"Pattern detection","level":2,"score":0.4505411684513092},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.4375876188278198},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4212772250175476},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.41188710927963257},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32335028052330017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2728124260902405},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21876975893974304},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C164913051","wikidata":"https://www.wikidata.org/wiki/Q482","display_name":"Poetry","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2018.8508265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W86855850","https://openalex.org/W343217495","https://openalex.org/W1494404649","https://openalex.org/W1596691921","https://openalex.org/W1967925097","https://openalex.org/W1971226872","https://openalex.org/W1985883651","https://openalex.org/W1989477967","https://openalex.org/W2021469159","https://openalex.org/W2040581304","https://openalex.org/W2067789269","https://openalex.org/W2096194908","https://openalex.org/W2113403290","https://openalex.org/W2117491639","https://openalex.org/W2123037232","https://openalex.org/W2132498420","https://openalex.org/W2147742901","https://openalex.org/W2156377393","https://openalex.org/W2319265692","https://openalex.org/W2739227211","https://openalex.org/W2739757812","https://openalex.org/W6603477831","https://openalex.org/W6611626106","https://openalex.org/W6629558247"],"related_works":["https://openalex.org/W4287126803","https://openalex.org/W3168266056","https://openalex.org/W4250737080","https://openalex.org/W2735162248","https://openalex.org/W2112890327","https://openalex.org/W311440260","https://openalex.org/W2945111072","https://openalex.org/W1496191935","https://openalex.org/W3080940603","https://openalex.org/W17414112"],"abstract_inverted_index":{"The":[0,89,112],"problem":[1,41],"of":[2,13,21,45,60,128],"plagiarism":[3,31,129],"the":[4,11,19,22,26,43,83,99,105],"recent":[5],"years":[6],"has":[7,33,114],"been":[8,34,115],"intensified":[9],"by":[10],"availability":[12],"information":[14],"in":[15,85,117],"digital":[16,46],"form":[17],"and":[18,50,82,98],"accessibility":[20],"electronic":[23],"libraries":[24],"through":[25],"Internet.":[27],"As":[28],"a":[29,37,51,67,80,86,94,118],"result,":[30],"detection":[32,96],"transformed":[35],"into":[36],"big":[38],"data":[39,101],"analytics":[40],"since":[42],"number":[44],"sources":[47],"is":[48,71,91],"extravagant":[49],"new":[52],"document":[53,81],"needs":[54],"to":[55,107],"be":[56],"compared":[57],"with":[58],"millions":[59],"other":[61],"existing":[62],"documents.":[63],"In":[64],"this":[65],"paper,":[66],"text":[68],"mining":[69],"methodology":[70,113],"proposed":[72],"that":[73,103],"can":[74],"detect":[75,108],"all":[76,109],"common":[77,110],"patterns":[78],"between":[79],"documents":[84],"reference":[87],"database.":[88],"technique":[90],"based":[92],"on":[93],"pattern":[95],"algorithm":[97,106],"corresponding":[100],"structure":[102],"enables":[104],"patterns.":[111],"applied":[116],"well-defined":[119],"dataset":[120],"providing":[121],"very":[122],"promising":[123],"results":[124],"identifying":[125],"difficult":[126],"cases":[127],"such":[130],"as":[131],"technical":[132],"disguise.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
