{"id":"https://openalex.org/W2063992306","doi":"https://doi.org/10.1109/wcnc.2012.6214127","title":"Quarter-Sphere SVM: Attribute and Spatio-Temporal correlations based Outlier & Event Detection in wireless sensor networks","display_name":"Quarter-Sphere SVM: Attribute and Spatio-Temporal correlations based Outlier & Event Detection in wireless sensor networks","publication_year":2012,"publication_date":"2012-04-01","ids":{"openalex":"https://openalex.org/W2063992306","doi":"https://doi.org/10.1109/wcnc.2012.6214127","mag":"2063992306"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2012.6214127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2012.6214127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5021247125","display_name":"Nauman Shahid","orcid":"https://orcid.org/0000-0002-8082-8734"},"institutions":[{"id":"https://openalex.org/I207789805","display_name":"Lahore University of Management Sciences","ror":"https://ror.org/05b5x4a35","country_code":"PK","type":"education","lineage":["https://openalex.org/I207789805"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Nauman Shahid","raw_affiliation_strings":["Department of Electrical Engineering, LUMS School of Science and Engineering, Pakistan","Dept of Electrical Engineering, LUMS School of Science and Engineering, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, LUMS School of Science and Engineering, Pakistan","institution_ids":["https://openalex.org/I207789805"]},{"raw_affiliation_string":"Dept of Electrical Engineering, LUMS School of Science and Engineering, Pakistan","institution_ids":["https://openalex.org/I207789805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054055646","display_name":"Ijaz Haider Naqvi","orcid":"https://orcid.org/0000-0001-8382-9217"},"institutions":[{"id":"https://openalex.org/I207789805","display_name":"Lahore University of Management Sciences","ror":"https://ror.org/05b5x4a35","country_code":"PK","type":"education","lineage":["https://openalex.org/I207789805"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Ijaz Haider Naqvi","raw_affiliation_strings":["Department of Electrical Engineering, LUMS School of Science and Engineering, Pakistan","Dept of Electrical Engineering, LUMS School of Science and Engineering, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, LUMS School of Science and Engineering, Pakistan","institution_ids":["https://openalex.org/I207789805"]},{"raw_affiliation_string":"Dept of Electrical Engineering, LUMS School of Science and Engineering, Pakistan","institution_ids":["https://openalex.org/I207789805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044173335","display_name":"Saad Qaisar","orcid":"https://orcid.org/0000-0002-3481-6572"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Saad Bin Qaisar","raw_affiliation_strings":["NUST School of Electrical Engineering and Computer Sciences, Pakistan","NUST\u2014School of Electrical Engineering and Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NUST School of Electrical Engineering and Computer Sciences, Pakistan","institution_ids":["https://openalex.org/I929597975"]},{"raw_affiliation_string":"NUST\u2014School of Electrical Engineering and Computer Science","institution_ids":["https://openalex.org/I929597975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.8457,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.97713813,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T11220","display_name":"Water Systems and Optimization","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.9046289324760437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6444462537765503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6436760425567627},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6280835270881653},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5953388810157776},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5114163756370544},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.46925875544548035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.433907687664032},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4218539595603943},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.41007137298583984},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3852151930332184}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.9046289324760437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6444462537765503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6436760425567627},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6280835270881653},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5953388810157776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5114163756370544},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.46925875544548035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.433907687664032},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4218539595603943},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.41007137298583984},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3852151930332184},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc.2012.6214127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2012.6214127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1554584955","https://openalex.org/W1663973292","https://openalex.org/W1743989995","https://openalex.org/W1968233163","https://openalex.org/W1993126105","https://openalex.org/W2100199551","https://openalex.org/W2109341234","https://openalex.org/W2117089038","https://openalex.org/W2122053769","https://openalex.org/W2131246849","https://openalex.org/W2151764894","https://openalex.org/W2157247211"],"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/W2767160479","https://openalex.org/W112629874","https://openalex.org/W2166551085","https://openalex.org/W1499746122","https://openalex.org/W2913952424"],"abstract_inverted_index":{"Support-Vector":[0],"Machines":[1],"(SVM)":[2],"have":[3,108,172,178],"received":[4],"a":[5,66,72,117,126],"great":[6],"interest":[7],"in":[8,17,20,106,120,129],"the":[9,33,53,57,80,87,91,121,130,135,148,156],"machine":[10],"learning":[11,41],"community":[12],"since":[13],"their":[14],"introduction,":[15],"especially":[16],"Outlier":[18,104,122],"Detection":[19,105,123,170],"Wireless":[21],"Sensor":[22],"Networks":[23],"(WSN).":[24],"The":[25,43,114,139],"Quarter-Sphere":[26,60,75],"formulation":[27,45,77,137],"of":[28,83,141],"One-Class":[29,74],"SVM":[30,35,76,95],"(QS-SVM),":[31],"extends":[32],"main":[34],"ideas":[36],"from":[37],"supervised":[38],"to":[39,103],"unsupervised":[40],"algorithms.":[42],"QS-SVM":[44],"is":[46,152],"based":[47,78],"only":[48],"on":[49,79],"Spatio-Temporal":[50,59],"correlations":[51],"between":[52,86],"sensor":[54,88],"nodes":[55],"(hence":[56],"name":[58],"SVM,":[61],"ST-QS-SVM).":[62],"Thus,":[63],"it":[64],"has":[65],"non-ideal":[67],"performance.":[68],"This":[69],"work":[70],"presents":[71],"new":[73],"novel":[81,143],"concept":[82],"Attribute":[84],"Correlations":[85],"nodes,":[89],"hence":[90],"name,":[92],"Spatio-Temporal-Attribute":[93],"Quarter-sphere":[94],"(STA-QS-SVM)":[96],"formulation.":[97,113],"Online":[98],"and":[99,125,163],"partially":[100,149],"online":[101,150,157],"approaches":[102],"WSNs":[107],"been":[109,173,180],"presented":[110],"using":[111],"this":[112,142],"results":[115,140],"indicate":[116],"significant":[118,161],"increase":[119],"rates":[124,133,171],"remarkable":[127],"reduction":[128],"False":[131],"Positive":[132],"over":[134],"previous":[136],"(ST-QS-SVM).":[138],"technique":[144],"also":[145],"suggest":[146],"that":[147],"approach":[151],"as":[153,155],"efficient":[154],"approach,":[158],"thereby":[159],"conserving":[160],"computational":[162],"communication":[164],"complexity.":[165],"Moreover":[166],"very":[167],"high":[168],"Event":[169],"reported":[174,181],"for":[175],"STA-QS-SVM,":[176],"which":[177],"not":[179],"by":[182],"ST-QS-SVM.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}