{"id":"https://openalex.org/W2947121163","doi":"https://doi.org/10.3233/jifs-181336","title":"K-RCC: A novel approach to reduce the computational complexity of KNN algorithm for detecting human behavior on social networks","display_name":"K-RCC: A novel approach to reduce the computational complexity of KNN algorithm for detecting human behavior on social networks","publication_year":2019,"publication_date":"2019-05-25","ids":{"openalex":"https://openalex.org/W2947121163","doi":"https://doi.org/10.3233/jifs-181336","mag":"2947121163"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-181336","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-181336","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5087877662","display_name":"Sushil Kumar Trisal","orcid":null},"institutions":[{"id":"https://openalex.org/I59179055","display_name":"Shri Mata Vaishno Devi University","ror":"https://ror.org/036x6w630","country_code":"IN","type":"education","lineage":["https://openalex.org/I59179055"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sushil Kumar Trisal","raw_affiliation_strings":["Department of Computer Science and Engineering, Shri Mata Vaishnov Devi University, Katra, Jammu and Kashmir, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shri Mata Vaishnov Devi University, Katra, Jammu and Kashmir, India","institution_ids":["https://openalex.org/I59179055"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007001317","display_name":"Ajay Kaul","orcid":null},"institutions":[{"id":"https://openalex.org/I59179055","display_name":"Shri Mata Vaishno Devi University","ror":"https://ror.org/036x6w630","country_code":"IN","type":"education","lineage":["https://openalex.org/I59179055"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ajay Kaul","raw_affiliation_strings":["Department of Computer Science and Engineering, Shri Mata Vaishnov Devi University, Katra, Jammu and Kashmir, India","Fax: +91 0191 2470067. E-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shri Mata Vaishnov Devi University, Katra, Jammu and Kashmir, India","institution_ids":["https://openalex.org/I59179055"]},{"raw_affiliation_string":"Fax: +91 0191 2470067. E-mail:","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087877662"],"corresponding_institution_ids":["https://openalex.org/I59179055"],"apc_list":null,"apc_paid":null,"fwci":3.1734,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.92974906,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"36","issue":"6","first_page":"5475","last_page":"5497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9979000091552734,"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":0.9979000091552734,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9936000108718872,"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":0.9933000206947327,"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/computer-science","display_name":"Computer science","score":0.7620177268981934},{"id":"https://openalex.org/keywords/sadness","display_name":"Sadness","score":0.5851948857307434},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5449813604354858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5356015563011169},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5260945558547974},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5055434703826904},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4828260838985443},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.4503520727157593},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44589734077453613},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.44232314825057983},{"id":"https://openalex.org/keywords/shame","display_name":"Shame","score":0.4197540879249573},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4134438633918762},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16971781849861145},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11259806156158447}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7620177268981934},{"id":"https://openalex.org/C2779812673","wikidata":"https://www.wikidata.org/wiki/Q169251","display_name":"Sadness","level":3,"score":0.5851948857307434},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5449813604354858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5356015563011169},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5260945558547974},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5055434703826904},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4828260838985443},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.4503520727157593},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44589734077453613},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.44232314825057983},{"id":"https://openalex.org/C2781283010","wikidata":"https://www.wikidata.org/wiki/Q152282","display_name":"Shame","level":2,"score":0.4197540879249573},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4134438633918762},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16971781849861145},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11259806156158447},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-181336","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-181336","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.44999998807907104,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1487226657","https://openalex.org/W1513398909","https://openalex.org/W1558159560","https://openalex.org/W1965551184","https://openalex.org/W1967320885","https://openalex.org/W2018535666","https://openalex.org/W2019282135","https://openalex.org/W2036309320","https://openalex.org/W2087295784","https://openalex.org/W2095234413","https://openalex.org/W2108764397","https://openalex.org/W2110278938","https://openalex.org/W2119723504","https://openalex.org/W2120593235","https://openalex.org/W2121302072","https://openalex.org/W2125098710","https://openalex.org/W2126329913","https://openalex.org/W2132911967","https://openalex.org/W2141876697","https://openalex.org/W2147863532","https://openalex.org/W2147950455","https://openalex.org/W2157052295","https://openalex.org/W2159704237","https://openalex.org/W2168980558","https://openalex.org/W2182028357","https://openalex.org/W2468539463","https://openalex.org/W2505415825","https://openalex.org/W2555586486","https://openalex.org/W2561127987","https://openalex.org/W2577957446","https://openalex.org/W2607790680","https://openalex.org/W2727488328","https://openalex.org/W2746748886","https://openalex.org/W2791506524","https://openalex.org/W2800931784","https://openalex.org/W2804834692","https://openalex.org/W3150926738","https://openalex.org/W4239550645","https://openalex.org/W4251591997","https://openalex.org/W4256561644","https://openalex.org/W4295727644","https://openalex.org/W6601577845","https://openalex.org/W6673121688","https://openalex.org/W6678155530","https://openalex.org/W6678758578","https://openalex.org/W6683707735","https://openalex.org/W6685135703","https://openalex.org/W6703294436","https://openalex.org/W6713287694"],"related_works":["https://openalex.org/W2759329700","https://openalex.org/W2944167087","https://openalex.org/W2940772629","https://openalex.org/W2979419002","https://openalex.org/W2086187330","https://openalex.org/W1575848666","https://openalex.org/W3155162616","https://openalex.org/W2086033567","https://openalex.org/W3191774847","https://openalex.org/W1983447967"],"abstract_inverted_index":{"Social":[0],"networks":[1],"or":[2],"social":[3,45,222],"media":[4,46,223],"is":[5,47,60,87,138,141,162,177,203],"an":[6],"online":[7],"platform":[8,17],"for":[9,21,65,113,212],"billons":[10],"of":[11,42,116,166,173,192,201,215,250,261],"people":[12,23],"around":[13],"the":[14,22,49,54,66,78,85,111,114,144,154,163,167,174,184,190,213,252],"world.":[15],"This":[16],"makes":[18],"it":[19],"easier":[20],"to":[24,76,91,180],"have":[25,107],"conversations,":[26],"share":[27,29],"information,":[28],"videos,":[30],"instant":[31],"messaging,":[32],"create":[33],"virtual":[34],"world":[35],"and":[36,124,157,241,255,259],"more.":[37],"The":[38,150,170,197,226,243],"most":[39],"dominant":[40],"form":[41],"interaction":[43],"on":[44,143,189],"by":[48,84,183],"text":[50,58,82],"messaging.":[51],"To":[52],"detect":[53,77],"emotions":[55,73,79,117,217,227],"from":[56,80,218,221],"these":[57,81],"messages":[59,83],"not":[61],"a":[62,88,129],"difficult":[63,89],"job":[64,90],"humans":[67],"as":[68,235],"they":[69],"are":[70,228],"linked":[71],"with":[72,206],"themselves.":[74],"But":[75],"computer":[86],"perform.":[92],"Various":[93],"models":[94,105],"like":[95],"fuzzy":[96],"model,":[97,100],"vector":[98],"space":[99],"keystroke":[101],"dynamics,":[102],"character":[103],"n-gram":[104],"etc":[106],"been":[108],"proposed":[109,139],"in":[110,248],"literature":[112],"detection":[115,136,214,260],"but":[118,188],"every":[119],"model":[120,137],"has":[121],"its":[122],"limitations":[123],"drawbacks.":[125],"In":[126],"this":[127],"study":[128],"novel":[130],"K-RCC":[131,151,202,244],"(Reduced":[132],"Computational":[133],"Complexity)":[134],"emotion":[135],"which":[140,161],"based":[142],"K":[145],"Nearest":[146],"Neighbor":[147],"(KNN)":[148],"algorithm.":[149,169],"algorithm":[152,176,187],"reduces":[153],"computational":[155,171,253],"complexity":[156,172,254],"incorrect":[158,194,256],"classification":[159,195,210,257],"rate":[160,258],"main":[164],"drawback":[165],"KNN":[168,175],"reduced":[178],"up":[179],"some":[181],"extent":[182],"K-d":[185],"Tree":[186],"cost":[191],"increased":[193],"rate.":[196],"systematic":[198],"performance":[199],"analysis":[200],"carried":[204],"out":[205],"four":[207],"Machine":[208],"learning":[209],"algorithms":[211],"human":[216,262],"tweets":[219],"collected":[220],"site":[224],"twitter.":[225],"classified":[229],"under":[230],"six":[231],"emotional":[232],"classes":[233],"such":[234],"disgust,":[236],"fear,":[237],"joy,":[238],"sadness,":[239],"anger,":[240],"shame.":[242],"performs":[245],"better":[246],"both":[247],"terms":[249],"reducing":[251],"emotions.":[263]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
