{"id":"https://openalex.org/W2041072463","doi":"https://doi.org/10.4304/jnw.8.7.1582-1588","title":"WSO-based Spatial Outlier Detection Algorithms","display_name":"WSO-based Spatial Outlier Detection Algorithms","publication_year":2013,"publication_date":"2013-07-21","ids":{"openalex":"https://openalex.org/W2041072463","doi":"https://doi.org/10.4304/jnw.8.7.1582-1588","mag":"2041072463"},"language":"en","primary_location":{"id":"doi:10.4304/jnw.8.7.1582-1588","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jnw.8.7.1582-1588","pdf_url":null,"source":{"id":"https://openalex.org/S189188848","display_name":"Journal of Networks","issn_l":"1796-2056","issn":["1796-2056"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Networks","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/A5100832937","display_name":"Lijun Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lijun Cao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041617957","display_name":"Xiyin Liu","orcid":"https://orcid.org/0000-0002-1628-9123"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiyin Liu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757319","display_name":"Yubin Wang","orcid":"https://orcid.org/0000-0003-1640-4504"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yubin Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101629882","display_name":"Zhongping Zhang","orcid":"https://orcid.org/0000-0003-1795-0961"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhongping Zhang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100832937"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08404939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"7","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":0.9994000196456909,"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":0.9994000196456909,"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":0.9571999907493591,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9534000158309937,"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":0.8578758239746094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7945607304573059},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7880796790122986},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6143309473991394},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5227872729301453},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5191192030906677},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46217459440231323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4145132005214691},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39103278517723083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13485532999038696},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09661278128623962}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8578758239746094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7945607304573059},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7880796790122986},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6143309473991394},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5227872729301453},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5191192030906677},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46217459440231323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4145132005214691},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39103278517723083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13485532999038696},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09661278128623962}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jnw.8.7.1582-1588","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jnw.8.7.1582-1588","pdf_url":null,"source":{"id":"https://openalex.org/S189188848","display_name":"Journal of Networks","issn_l":"1796-2056","issn":["1796-2056"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1549255393","https://openalex.org/W1579435408","https://openalex.org/W1586410151","https://openalex.org/W1903475782","https://openalex.org/W1968841184","https://openalex.org/W1980955340","https://openalex.org/W2012419012","https://openalex.org/W2050046434","https://openalex.org/W2056257842","https://openalex.org/W2063515679","https://openalex.org/W2068285616","https://openalex.org/W2096793442","https://openalex.org/W2104491896","https://openalex.org/W2123628025","https://openalex.org/W2128817989","https://openalex.org/W2133350412","https://openalex.org/W2610788652","https://openalex.org/W6632759956","https://openalex.org/W6675722669","https://openalex.org/W6678899114"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2149537132","https://openalex.org/W2018871932","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W2371336807","https://openalex.org/W3025157844"],"abstract_inverted_index":{"Based":[0],"on":[1,17],"the":[2,12,18,53,56,78,86,94,99,117,128],"idea":[3],"of":[4,14,20,59,66,80,98],"Weighted":[5,43],"Spatial":[6],"Outlier":[7],"(WSO),":[8],"this":[9],"study":[10],"identifies":[11],"influences":[13,26],"spatial":[15,21,34,67,103,130],"attributes":[16],"calculation":[19],"outlying":[22],"degree,":[23],"combines":[24],"these":[25],"with":[27,121],"non-spatial":[28],"attributes,":[29],"and":[30,42,55,85,96,110,116,136],"proposes":[31],"two":[32,100],"revised":[33],"outlier":[35,68,104,131],"detection":[36,69,87,105,132],"algorithms,":[37,106],"Improved":[38],"Z-value":[39],"(IZ-value)":[40],"algorithm":[41],"Difference":[44],"Algorithm":[45],"(WDA).":[46],"The":[47,63],"proposed":[48,101,129],"algorithms":[49,133],"are":[50,61,70,82,89,112,119,134],"detailed":[51],"in":[52],"paper":[54],"time":[57],"complexities":[58],"them":[60],"analyzed.":[62],"influencing":[64],"factors":[65],"considered":[71],"from":[72],"a":[73],"global":[74],"perspective,":[75],"so":[76],"that":[77,127],"determinations":[79],"outliers":[81],"more":[83,90],"reasonable,":[84],"result":[88],"accurate.":[91],"To":[92],"verify":[93],"accuracy":[95],"effectiveness":[97],"WSO-based":[102],"real-world":[107],"dataset":[108],"FMR":[109],"WNV":[111],"used":[113],"for":[114],"experiments,":[115],"results":[118],"compared":[120],"classical":[122],"algorithm.":[123],"It":[124],"is":[125],"demonstrated":[126],"feasible":[135],"effective":[137],".":[139]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}