{"id":"https://openalex.org/W2783043502","doi":"https://doi.org/10.1109/icdim.2017.8244662","title":"Fast plagiarism detection based on simple document similarity","display_name":"Fast plagiarism detection based on simple document similarity","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2783043502","doi":"https://doi.org/10.1109/icdim.2017.8244662","mag":"2783043502"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2017.8244662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2017.8244662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","raw_type":"proceedings-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/A5058660964","display_name":"Kensuke Baba","orcid":"https://orcid.org/0000-0002-8118-0175"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kensuke Baba","raw_affiliation_strings":["Fujitsu Laboratories, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories, Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5058660964"],"corresponding_institution_ids":["https://openalex.org/I2252096349"],"apc_list":null,"apc_paid":null,"fwci":0.7801,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80362652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"54","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.996999979019165,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9962999820709229,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/plagiarism-detection","display_name":"Plagiarism detection","score":0.9265846014022827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7382911443710327},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7098544239997864},{"id":"https://openalex.org/keywords/string-searching-algorithm","display_name":"String searching algorithm","score":0.6142462491989136},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6067164540290833},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5605458617210388},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5563943982124329},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5050719380378723},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.5050283074378967},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4847133159637451},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.3569217622280121},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32690465450286865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2878558039665222},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12594226002693176},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11042767763137817}],"concepts":[{"id":"https://openalex.org/C2780907237","wikidata":"https://www.wikidata.org/wiki/Q2986238","display_name":"Plagiarism detection","level":2,"score":0.9265846014022827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7382911443710327},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7098544239997864},{"id":"https://openalex.org/C7757238","wikidata":"https://www.wikidata.org/wiki/Q374040","display_name":"String searching algorithm","level":3,"score":0.6142462491989136},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6067164540290833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5605458617210388},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5563943982124329},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5050719380378723},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.5050283074378967},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4847133159637451},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.3569217622280121},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32690465450286865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2878558039665222},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12594226002693176},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11042767763137817},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdim.2017.8244662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2017.8244662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Twelfth International Conference on Digital Information Management (ICDIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W62386174","https://openalex.org/W938539187","https://openalex.org/W1514735749","https://openalex.org/W1532325895","https://openalex.org/W1605179643","https://openalex.org/W1970026646","https://openalex.org/W1974336599","https://openalex.org/W1977434113","https://openalex.org/W1990061958","https://openalex.org/W2061171222","https://openalex.org/W2087064593","https://openalex.org/W2108378253","https://openalex.org/W2147717514","https://openalex.org/W2158997610","https://openalex.org/W2609041023","https://openalex.org/W2789346764","https://openalex.org/W2899914738","https://openalex.org/W4213009331","https://openalex.org/W4246219036","https://openalex.org/W6602575097","https://openalex.org/W6630466623","https://openalex.org/W6636126502","https://openalex.org/W6986298011"],"related_works":["https://openalex.org/W1971922616","https://openalex.org/W3145472249","https://openalex.org/W3145288231","https://openalex.org/W2371263218","https://openalex.org/W2784143610","https://openalex.org/W2864946798","https://openalex.org/W2182674213","https://openalex.org/W2092552144","https://openalex.org/W2354196777","https://openalex.org/W2965473297"],"abstract_inverted_index":{"Plagiarism":[0],"detection":[1,16],"in":[2,26,46],"a":[3,14,32,94,113],"large":[4],"number":[5],"of":[6,38,42,54,56,66,76,85,116,125],"documents":[7],"requires":[8],"efficient":[9],"methods.":[10],"This":[11],"paper":[12],"proposes":[13],"plagiarism":[15,61],"algorithm":[17,48,87],"based":[18],"on":[19,79],"approximate":[20],"string":[21],"matching":[22],"to":[23,35,109],"be":[24],"specified":[25],"\u201ccopy":[27],"and":[28,31,83],"paste\u201d-type":[29],"plagiarisms,":[30],"speed":[33],"improvement":[34,78,103],"an":[36],"implementation":[37,124],"the":[39,43,47,57,64,70,77,80,86,102,106,117,122,126],"algorithm.":[40,127],"Most":[41],"computations":[44],"required":[45],"are":[49],"omitted":[50],"by":[51,69,90],"two":[52],"kinds":[53],"approximations":[55,71],"output":[58],"used":[59],"for":[60,112,121],"detection,":[62],"while":[63],"decrease":[65,115],"accuracy":[67,84,118],"caused":[68],"is":[72,88],"acceptable.":[73],"The":[74,97],"effect":[75],"processing":[81,107],"time":[82,108],"evaluated":[89],"conducting":[91],"experiments":[92],"with":[93],"data":[95],"set.":[96],"experimental":[98],"results":[99],"show":[100],"that":[101],"can":[104],"reduce":[105],"approximately":[110],"one-twentieth":[111],"6.4%":[114],"from":[119],"those":[120],"normal":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}