{"id":"https://openalex.org/W2092773910","doi":"https://doi.org/10.1145/1980022.1980134","title":"Outlier detection and visualization of large datasets","display_name":"Outlier detection and visualization of large datasets","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2092773910","doi":"https://doi.org/10.1145/1980022.1980134","mag":"2092773910"},"language":"en","primary_location":{"id":"doi:10.1145/1980022.1980134","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1980022.1980134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11","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/A5068034846","display_name":"Loshma Gunisetti","orcid":"https://orcid.org/0000-0002-8664-7619"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"L. Gunisetti","raw_affiliation_strings":["Sri Vasavi Engineering College, Pedatadepalli, Tadepalligudem, A. P., India"],"affiliations":[{"raw_affiliation_string":"Sri Vasavi Engineering College, Pedatadepalli, Tadepalligudem, A. P., India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068034846"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11444793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"522","last_page":"522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9926000237464905,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9901000261306763,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.8959094882011414},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8317210078239441},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.751182496547699},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6720763444900513},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.6481521129608154},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5807951092720032},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4661361575126648},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.443467915058136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3299436867237091},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14023423194885254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09561309218406677}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8959094882011414},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8317210078239441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.751182496547699},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6720763444900513},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.6481521129608154},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5807951092720032},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4661361575126648},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.443467915058136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3299436867237091},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14023423194885254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09561309218406677}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1980022.1980134","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1980022.1980134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"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":9,"referenced_works":["https://openalex.org/W1586410151","https://openalex.org/W1602011302","https://openalex.org/W1938740620","https://openalex.org/W2061240327","https://openalex.org/W2117891917","https://openalex.org/W2140190241","https://openalex.org/W2169217090","https://openalex.org/W2169956614","https://openalex.org/W2331052961"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W71955863","https://openalex.org/W2359185137","https://openalex.org/W2610918223","https://openalex.org/W2085200861","https://openalex.org/W2567300168"],"abstract_inverted_index":{"Outliers":[0,31],"are":[1,164],"special":[2,38],"observations":[3,17],"or":[4,39,41,203],"extraordinary":[5,40],"cases":[6,43],"in":[7,44,58,106,145],"the":[8,56,59,95,99,107,119,125,135,143,154,160,183,192,213],"available":[9],"data":[10,60,71,91,144,193],"which":[11,137],"deviate":[12],"so":[13,18],"much":[14],"from":[15],"other":[16],"as":[19,225],"to":[20,36,46,54,66,69,89,117,179,189,211,221,227],"arouse":[21],"suspicions":[22],"that":[23],"they":[24],"were":[25],"generated":[26,194],"by":[27,115],"a":[28,171,196],"different":[29],"mechanism.":[30],"detected":[32,63],"can":[33,51,75,138,207,217],"be":[34,52,67,76,139,208,218],"used":[35,53,77,114,140,168,209],"identify":[37,55,118,190,212],"fraudulent":[42],"day":[45,47],"transactions.":[48],"Outlier":[49,73,87],"detection":[50],"noise":[57],"and":[61],"these":[62],"outliers":[64,136],"have":[65,129],"removed":[68],"improve":[70],"quality.":[72],"Detection":[74,88],"for":[78,93,141],"Traffic":[79,90,149],"Analysis,":[80],"Credit":[81],"Card":[82],"Fraud":[83],"Detection.":[84],"We":[85,128],"applied":[86,220],"set":[92],"identifying":[94],"outlier":[96,102,162],"stations":[97,103,163],"on":[98],"highway.":[100],"Detected":[101],"represent":[104],"abnormalities":[105],"traffic":[108,121,156,198],"sensors":[109,122,157],"data.":[110],"This":[111,174,205,215],"information":[112],"is":[113,170,187,201],"us":[116],"faulty":[120],"located":[123],"at":[124,159,195],"highway":[126,197],"stations.":[127],"provided":[130],"two":[131],"dimensional":[132],"visualization":[133],"of":[134],"analyzing":[142],"an":[146],"efficient":[147],"manner.":[148],"Management":[150],"becomes":[151],"easier":[152],"when":[153],"abnormal":[155,202],"identified":[158],"corresponding":[161],"identified.":[165],"The":[166,185],"method":[167,216],"here":[169],"Statistic":[172,186],"Approach.":[173],"technique":[175,206],"compares":[176],"every":[177],"location":[178],"its":[180],"neighbors":[181],"using":[182],"Statistic.":[184],"calculated":[188],"whether":[191],"station":[199],"sensor":[200],"not.":[204],"efficiently":[210],"outliers.":[214],"easily":[219],"very":[222],"large":[223],"datasets":[224],"compared":[226],"existing":[228],"conventional":[229],"approaches.":[230]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}