{"id":"https://openalex.org/W2506205276","doi":"https://doi.org/10.4018/ijwsr.2016070102","title":"A New Symbolization and Distance Measure Based Anomaly Mining Approach for Hydrological Time Series","display_name":"A New Symbolization and Distance Measure Based Anomaly Mining Approach for Hydrological Time Series","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2506205276","doi":"https://doi.org/10.4018/ijwsr.2016070102","mag":"2506205276"},"language":"en","primary_location":{"id":"doi:10.4018/ijwsr.2016070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijwsr.2016070102","pdf_url":null,"source":{"id":"https://openalex.org/S119470311","display_name":"International Journal of Web Services Research","issn_l":"1545-7362","issn":["1545-7362","1546-5004"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Services Research","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/A5035407903","display_name":"Pengcheng Zhang","orcid":"https://orcid.org/0000-0003-3594-408X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengcheng Zhang","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101965334","display_name":"Yan Xiao","orcid":"https://orcid.org/0000-0003-3812-030X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Xiao","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605236","display_name":"Yuelong Zhu","orcid":"https://orcid.org/0000-0001-7194-260X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuelong Zhu","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101844109","display_name":"Jun Feng","orcid":"https://orcid.org/0000-0002-2627-5403"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Feng","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045342377","display_name":"Dingsheng Wan","orcid":"https://orcid.org/0000-0002-4039-007X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingsheng Wan","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739626","display_name":"Wenrui Li","orcid":"https://orcid.org/0000-0003-0635-7919"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210128418","display_name":"Nanjing Xiaozhuang University","ror":"https://ror.org/03fnv7n42","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128418"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenrui Li","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China & School of Mathematics and Information Technology, Nanjing Xiaozhuang University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China & School of Mathematics and Information Technology, Nanjing Xiaozhuang University, Nanjing, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210128418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091697161","display_name":"Hareton Leung","orcid":"https://orcid.org/0000-0002-1766-7667"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hareton Leung","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2695,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62148847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"13","issue":"3","first_page":"26","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9865000247955322,"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/T11106","display_name":"Data Management and Algorithms","score":0.9398999810218811,"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/dynamic-time-warping","display_name":"Dynamic time warping","score":0.8304727673530579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7950363755226135},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7295794486999512},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7005525827407837},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6540350914001465},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6079093813896179},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.607672929763794},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5694016218185425},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5492026805877686},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5088443756103516},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5003814697265625},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4621238708496094},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.44354769587516785},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41638848185539246},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4132283329963684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35238656401634216},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2999425530433655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11102065443992615},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07808712124824524}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.8304727673530579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950363755226135},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7295794486999512},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7005525827407837},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6540350914001465},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6079093813896179},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.607672929763794},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5694016218185425},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5492026805877686},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5088443756103516},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5003814697265625},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4621238708496094},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.44354769587516785},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41638848185539246},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4132283329963684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35238656401634216},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2999425530433655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11102065443992615},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07808712124824524},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.4018/ijwsr.2016070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijwsr.2016070102","pdf_url":null,"source":{"id":"https://openalex.org/S119470311","display_name":"International Journal of Web Services Research","issn_l":"1545-7362","issn":["1545-7362","1546-5004"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Services Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jwsr00:v:13:y:2016:i:3:p:26-45","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJWSR.2016070102","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/62116","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/62116","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal/Magazine Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W204991446","https://openalex.org/W1499049447","https://openalex.org/W1574645113","https://openalex.org/W1669383326","https://openalex.org/W1971353559","https://openalex.org/W1989037929","https://openalex.org/W1992868762","https://openalex.org/W2049120089","https://openalex.org/W2051183365","https://openalex.org/W2066796814","https://openalex.org/W2081028405","https://openalex.org/W2101005720","https://openalex.org/W2103730486","https://openalex.org/W2106595237","https://openalex.org/W2122053769","https://openalex.org/W2124166542","https://openalex.org/W2131246849","https://openalex.org/W2137733632","https://openalex.org/W2164274563","https://openalex.org/W2347255076","https://openalex.org/W2393279103","https://openalex.org/W2761816179","https://openalex.org/W2798058877"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"Most":[0],"of":[1,38,63,71,91,111,119,137],"the":[2,78,89,109,117,130,144],"time":[3,31,73,97],"series":[4,32,74],"data":[5,11,17,26,45],"mining":[6,27,64,72,94],"tasks":[7],"attempt":[8],"to":[9,33,87,107,142,161],"discover":[10],"patterns":[12,76],"that":[13,150],"appear":[14],"frequently.":[15],"Abnormal":[16],"is":[18],"often":[19],"ignored":[20],"as":[21],"noise.":[22],"There":[23],"are":[24,53,133,140],"some":[25],"techniques":[28,40],"based":[29,95,124],"on":[30,96],"extract":[34],"anomaly.":[35],"However,":[36],"most":[37],"these":[39],"cannot":[41],"suit":[42],"big":[43],"unstable":[44],"existing":[46],"in":[47,77],"various":[48],"fields.":[49],"Their":[50],"key":[51],"problems":[52],"high":[54],"fitting":[55,155],"error":[56,156],"after":[57],"dimension":[58],"reduction":[59],"and":[60,114,157],"low":[61],"accuracy":[62,159],"results.":[65],"This":[66],"paper":[67],"studies":[68],"an":[69],"approach":[70,152],"abnormal":[75],"hydrological":[79,92],"field.":[80],"The":[81,147],"authors":[82],"propose":[83,100],"a":[84],"new":[85],"idea":[86],"solve":[88],"problem":[90],"anomaly":[93],"series.":[98],"They":[99],"Feature":[101],"Points":[102],"Symbolic":[103],"Aggregate":[104],"Approximation":[105],"(FP_SAX)":[106],"improve":[108],"selection":[110],"feature":[112],"points,":[113],"then":[115],"measures":[116],"distance":[118],"strings":[120],"by":[121],"Symbol":[122],"Distance":[123],"Dynamic":[125],"Time":[126],"Warping":[127],"(SD_DTW).":[128],"Finally,":[129],"distances":[131],"generated":[132],"sorted.":[134],"A":[135],"set":[136],"dedicated":[138],"experiments":[139],"performed":[141],"validate":[143],"authors'":[145],"approach.":[146],"results":[148],"show":[149],"their":[151],"has":[153],"lower":[154],"higher":[158],"compared":[160],"other":[162],"approaches.":[163]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}