{"id":"https://openalex.org/W2942889063","doi":"https://doi.org/10.1515/jisys-2018-0476","title":"Design and Evaluation of Outlier Detection Based on Semantic Condensed Nearest Neighbor","display_name":"Design and Evaluation of Outlier Detection Based on Semantic Condensed Nearest Neighbor","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2942889063","doi":"https://doi.org/10.1515/jisys-2018-0476","mag":"2942889063"},"language":"en","primary_location":{"id":"doi:10.1515/jisys-2018-0476","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2018-0476","pdf_url":"https://www.degruyter.com/downloadpdf/journals/jisys/29/1/article-p1416.pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.degruyter.com/downloadpdf/journals/jisys/29/1/article-p1416.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"M. Rao Batchanaboyina","orcid":"https://orcid.org/0000-0003-4329-040X"},"institutions":[{"id":"https://openalex.org/I177001074","display_name":"Acharya Nagarjuna University","ror":"https://ror.org/02mfapa96","country_code":"IN","type":"education","lineage":["https://openalex.org/I177001074"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"M. Rao Batchanaboyina","raw_affiliation_strings":["Computer Science and Engineering , Achraya Nagarjuna University , Guntur, A.P.-522510 , India"],"raw_orcid":"https://orcid.org/0000-0003-4329-040X","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering , Achraya Nagarjuna University , Guntur, A.P.-522510 , India","institution_ids":["https://openalex.org/I177001074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012130214","display_name":"Nagaraju Devarakonda","orcid":"https://orcid.org/0000-0003-4864-8482"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nagaraju Devarakonda","raw_affiliation_strings":["Department of Information Technology , Lakireddy Balireddy College of Engineering , Mylavaram, Krishna (DT), A.P.-521230 , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology , Lakireddy Balireddy College of Engineering , Mylavaram, Krishna (DT), A.P.-521230 , India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177001074"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":0.578,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75038889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"29","issue":"1","first_page":"1416","last_page":"1424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9984999895095825,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9984999895095825,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9933000206947327,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/marketing-buzz","display_name":"Marketing buzz","score":0.9510869979858398},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7537117600440979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6788772940635681},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5921714901924133},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5921079516410828},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5347204804420471},{"id":"https://openalex.org/keywords/social-media-analytics","display_name":"Social media analytics","score":0.4300835430622101},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4103170931339264},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4013426899909973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39499491453170776},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3197917342185974},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2063663899898529}],"concepts":[{"id":"https://openalex.org/C113993141","wikidata":"https://www.wikidata.org/wiki/Q906759","display_name":"Marketing buzz","level":2,"score":0.9510869979858398},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7537117600440979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6788772940635681},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5921714901924133},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5921079516410828},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5347204804420471},{"id":"https://openalex.org/C2778729106","wikidata":"https://www.wikidata.org/wiki/Q1140126","display_name":"Social media analytics","level":3,"score":0.4300835430622101},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4103170931339264},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4013426899909973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39499491453170776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3197917342185974},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2063663899898529},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/jisys-2018-0476","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2018-0476","pdf_url":"https://www.degruyter.com/downloadpdf/journals/jisys/29/1/article-p1416.pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:852ce49586b24513b15b6cff52eb414c","is_oa":true,"landing_page_url":"https://doaj.org/article/852ce49586b24513b15b6cff52eb414c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Intelligent Systems, Vol 29, Iss 1, Pp 1416-1424 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/jisys-2018-0476","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2018-0476","pdf_url":"https://www.degruyter.com/downloadpdf/journals/jisys/29/1/article-p1416.pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2942889063.pdf","grobid_xml":"https://content.openalex.org/works/W2942889063.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1989828806","https://openalex.org/W1999415654","https://openalex.org/W2015503141","https://openalex.org/W2030831887","https://openalex.org/W2076959242","https://openalex.org/W2125099364","https://openalex.org/W2266351883","https://openalex.org/W2290393813","https://openalex.org/W2345128635","https://openalex.org/W2610826102","https://openalex.org/W2741313210","https://openalex.org/W2749746775","https://openalex.org/W2758863782","https://openalex.org/W2769000698","https://openalex.org/W2899498114","https://openalex.org/W2963587534"],"related_works":["https://openalex.org/W2116740649","https://openalex.org/W2099040923","https://openalex.org/W4387941994","https://openalex.org/W4237474497","https://openalex.org/W2808610987","https://openalex.org/W2807898447","https://openalex.org/W2384816865","https://openalex.org/W2068569233","https://openalex.org/W963438761","https://openalex.org/W607125566"],"abstract_inverted_index":{"Abstract":[0],"Social":[1,16],"media":[2,17,44,56,80,129,183],"contain":[3],"abundant":[4],"information":[5],"about":[6],"the":[7,14,42,52,85,89,103,127,138,152,157,162,165,181,189,201],"events":[8],"or":[9],"news":[10],"occurring":[11],"all":[12],"over":[13],"world.":[15],"growth":[18],"has":[19],"a":[20],"greater":[21],"impact":[22],"on":[23,156],"various":[24],"domains":[25],"like":[26],"marketing,":[27],"e-commerce,":[28],"health":[29],"care,":[30],"e-governance,":[31],"and":[32,46,64,96,109,131,154,177,195],"politics,":[33],"etc.":[34],"Currently,":[35],"Twitter":[36,95],"was":[37,81],"developed":[38],"as":[39],"one":[40,50],"of":[41,51,66,151,193],"social":[43,55,79,128,182],"platforms,":[45],"now,":[47],"it":[48],"is":[49,112,124,146,167,172,198],"most":[53],"popular":[54],"platforms.":[57],"There":[58],"are":[59,100],"1":[60],"billion":[61],"user\u2019s":[62],"profiles":[63],"millions":[65],"active":[67],"users,":[68],"who":[69],"post":[70],"tweets":[71],"daily.":[72],"In":[73],"this":[74,110,115],"research,":[75],"buzz":[76,176],"detection":[77],"in":[78,102,114,180],"carried":[82],"out":[83],"by":[84,137,161],"semantic":[86,149],"approach":[87],"using":[88],"condensed":[90,142],"nearest":[91,143],"neighbor":[92,144],"(SACNN).":[93],"The":[94,120,141,169,185],"Tom\u2019s":[97],"Hardware":[98],"data":[99],"stored":[101],"UC":[104],"Irvine":[105],"Machine":[106],"Learning":[107],"Repository,":[108],"dataset":[111],"used":[113,147,173],"research":[116],"for":[117,148],"outlier":[118],"detection.":[119],"min\u2013max":[121],"normalization":[122],"technique":[123],"applied":[125],"to":[126,174],"dataset,":[130],"additionally,":[132],"missing":[133],"values":[134],"were":[135],"replaced":[136],"normalized":[139],"value.":[140],"(CNN)":[145],"analysis":[150],"database,":[153],"based":[155],"optimized":[158],"value":[159,171],"provided":[160],"proposed":[163],"method,":[164],"threshold":[166,170],"calculated.":[168],"classify":[175],"non-buzz":[178],"discussions":[179],"database.":[184],"result":[186],"showed":[187],"that":[188],"SACNN":[190],"achieved":[191],"99%":[192],"accuracy,":[194],"relative":[196],"error":[197],"less":[199],"than":[200],"existing":[202],"methods.":[203]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2019-05-09T00:00:00"}