{"id":"https://openalex.org/W4312578993","doi":"https://doi.org/10.1109/dsit55514.2022.9943983","title":"A Causality Network Construction Method for High Dimensional Time Series Big Data","display_name":"A Causality Network Construction Method for High Dimensional Time Series Big Data","publication_year":2022,"publication_date":"2022-07-22","ids":{"openalex":"https://openalex.org/W4312578993","doi":"https://doi.org/10.1109/dsit55514.2022.9943983"},"language":"en","primary_location":{"id":"doi:10.1109/dsit55514.2022.9943983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit55514.2022.9943983","pdf_url":null,"source":{"id":"https://openalex.org/S4363608293","display_name":"2022 5th International Conference on Data Science and Information Technology (DSIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Data Science and Information Technology (DSIT)","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/A5052674563","display_name":"Jing Yi","orcid":"https://orcid.org/0000-0003-1076-3119"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["AU","CN"],"is_corresponding":true,"raw_author_name":"Yi Jing","raw_affiliation_strings":["The Faculty of Science, The University of New South Wales, Sydney, Australia","Inner Mongolia Autonomous Region Key Laboratory of Big Data Research and Application for Agriculture and Animal Husbandry, Inner Mongolia Agricultural University, Hohhot, China","The Faculty of Science, The University of New Sales Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The Faculty of Science, The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571","https://openalex.org/I129604602"]},{"raw_affiliation_string":"Inner Mongolia Autonomous Region Key Laboratory of Big Data Research and Application for Agriculture and Animal Husbandry, Inner Mongolia Agricultural University, Hohhot, China","institution_ids":["https://openalex.org/I120379545"]},{"raw_affiliation_string":"The Faculty of Science, The University of New Sales Wales, Sydney, Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405177","display_name":"Zhenyu Liu","orcid":"https://orcid.org/0000-0002-6270-9475"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Liu","raw_affiliation_strings":["College of Computer and Information Engineering","Inner Mongolia Autonomous Region Key Laboratory of Big Data Research and Application for Agriculture and Animal Husbandry, Inner Mongolia Agricultural University, Hohhot, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering","institution_ids":[]},{"raw_affiliation_string":"Inner Mongolia Autonomous Region Key Laboratory of Big Data Research and Application for Agriculture and Animal Husbandry, Inner Mongolia Agricultural University, Hohhot, China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077201324","display_name":"Jing Gao","orcid":"https://orcid.org/0000-0003-1778-8909"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Gao","raw_affiliation_strings":["College of Computer and Information Engineering","Inner Mongolia Autonomous Region Key Laboratory of Big Data Research and Application for Agriculture and Animal Husbandry, Inner Mongolia Agricultural University, Hohhot, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering","institution_ids":[]},{"raw_affiliation_string":"Inner Mongolia Autonomous Region Key Laboratory of Big Data Research and Application for Agriculture and Animal Husbandry, Inner Mongolia Agricultural University, Hohhot, China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100455376","display_name":"Tao Li","orcid":"https://orcid.org/0000-0003-1697-8022"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Li","raw_affiliation_strings":["College of Life Sciences, Inner Mongolia Agricultural University,Hohhot,China","College of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China"],"affiliations":[{"raw_affiliation_string":"College of Life Sciences, Inner Mongolia Agricultural University,Hohhot,China","institution_ids":["https://openalex.org/I120379545"]},{"raw_affiliation_string":"College of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China","institution_ids":["https://openalex.org/I120379545"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052674563"],"corresponding_institution_ids":["https://openalex.org/I120379545","https://openalex.org/I129604602","https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15206852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"158","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9819999933242798,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9819999933242798,"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/T10320","display_name":"Neural Networks and Applications","score":0.9506999850273132,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9490000009536743,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.6746754050254822},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6008366942405701},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.5949799418449402},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5892284512519836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5663111209869385},{"id":"https://openalex.org/keywords/transfer-entropy","display_name":"Transfer entropy","score":0.557898223400116},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5419034361839294},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5293596386909485},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5072259902954102},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4916077256202698},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4885140657424927},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4521874487400055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43567806482315063},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4333347976207733},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.41982775926589966},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.41668492555618286},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41001302003860474},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3299223780632019},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29596006870269775},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.2533409595489502},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21058917045593262},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.17021295428276062}],"concepts":[{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.6746754050254822},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6008366942405701},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.5949799418449402},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5892284512519836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5663111209869385},{"id":"https://openalex.org/C182049051","wikidata":"https://www.wikidata.org/wiki/Q17147155","display_name":"Transfer entropy","level":3,"score":0.557898223400116},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5419034361839294},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5293596386909485},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5072259902954102},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4916077256202698},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4885140657424927},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4521874487400055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43567806482315063},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4333347976207733},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.41982775926589966},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.41668492555618286},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41001302003860474},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3299223780632019},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29596006870269775},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2533409595489502},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21058917045593262},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.17021295428276062},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsit55514.2022.9943983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit55514.2022.9943983","pdf_url":null,"source":{"id":"https://openalex.org/S4363608293","display_name":"2022 5th International Conference on Data Science and Information Technology (DSIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Data Science and Information Technology (DSIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1010359952","https://openalex.org/W1987387046","https://openalex.org/W2011204095","https://openalex.org/W2022652942","https://openalex.org/W2041782669","https://openalex.org/W2065386084","https://openalex.org/W2066622134","https://openalex.org/W2113146118","https://openalex.org/W2178225550","https://openalex.org/W2202738638","https://openalex.org/W2918674598","https://openalex.org/W2922645749","https://openalex.org/W2980578704","https://openalex.org/W3000784643","https://openalex.org/W3005523007","https://openalex.org/W3082254768","https://openalex.org/W3094131054","https://openalex.org/W3099467122","https://openalex.org/W3114639439","https://openalex.org/W3133158865","https://openalex.org/W3168347998"],"related_works":["https://openalex.org/W4249418736","https://openalex.org/W1513235864","https://openalex.org/W3119036881","https://openalex.org/W3095373396","https://openalex.org/W2129093368","https://openalex.org/W3121647782","https://openalex.org/W2952027171","https://openalex.org/W4321440760","https://openalex.org/W3193881538","https://openalex.org/W4312578993"],"abstract_inverted_index":{"How":[0],"to":[1,79,101,118],"infer":[2,80,119],"the":[3,15,51,87,120,125,130],"causal":[4,16,33,81,92,121],"relationship":[5],"between":[6],"variables":[7,55,65,84],"in":[8],"high-dimensional":[9,44,103],"time":[10,116],"series":[11],"data":[12,89,105],"and":[13,32,63,68,85,127],"construct":[14,86,129],"network":[17,40,90,132],"have":[18],"always":[19],"been":[20],"a":[21,38,102],"difficulty":[22],"of":[23,53,91,133],"research.":[24],"The":[25,96],"two":[26],"major":[27],"challenges":[28],"are":[29,71],"dimension":[30],"reduction":[31],"inference.":[34],"This":[35],"paper":[36],"proposes":[37],"causality":[39],"construction":[41],"method":[42,98],"for":[43],"sequential":[45],"big":[46],"data.":[47],"In":[48],"this":[49],"method,":[50],"dimensionality":[52],"feature":[54,64],"is":[56,77],"reduced":[57],"by":[58],"fuzzy":[59],"C-means":[60],"clustering":[61],"twice":[62],"with":[66],"similar":[67],"specific":[69],"patterns":[70],"screened":[72],"out.":[73],"Then":[74],"transfer":[75],"entropy":[76],"used":[78],"relationships":[82,93,123],"among":[83,94,124],"time-series":[88,104],"variables.":[95],"proposed":[97],"was":[99],"applied":[100],"set":[106],"which":[107],"contains":[108],"32884":[109],"rats'":[110,134],"gene":[111],"expression":[112],"values":[113],"at":[114],"480":[115],"points":[117],"regulatory":[122,131],"genes,":[126],"efficiently":[128],"rhythm":[135],"genes.":[136]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}