{"id":"https://openalex.org/W1661633619","doi":"https://doi.org/10.1109/coase.2015.7294243","title":"A self-organizing method for predictive modeling with highly-redundant variables","display_name":"A self-organizing method for predictive modeling with highly-redundant variables","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1661633619","doi":"https://doi.org/10.1109/coase.2015.7294243","mag":"1661633619"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2015.7294243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2015.7294243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Automation Science and Engineering (CASE)","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/A5063400527","display_name":"Gang Liu","orcid":"https://orcid.org/0000-0002-9651-4473"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gang Liu","raw_affiliation_strings":["Complex Systems Monitoring, University of South Florida, Tampa, FL, USA","Complex Systems Monitoring, Modeling and Analysis Laboratory, University of South Florida, Tampa, FL 33620, USA"],"affiliations":[{"raw_affiliation_string":"Complex Systems Monitoring, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]},{"raw_affiliation_string":"Complex Systems Monitoring, Modeling and Analysis Laboratory, University of South Florida, Tampa, FL 33620, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062699999","display_name":"Hui Yang","orcid":"https://orcid.org/0000-0001-5997-6823"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Yang","raw_affiliation_strings":["Complex Systems Monitoring, University of South Florida, Tampa, FL, USA","Complex Systems Monitoring, Modeling and Analysis Laboratory, University of South Florida, Tampa, FL 33620, USA"],"affiliations":[{"raw_affiliation_string":"Complex Systems Monitoring, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]},{"raw_affiliation_string":"Complex Systems Monitoring, Modeling and Analysis Laboratory, University of South Florida, Tampa, FL 33620, USA","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063400527"],"corresponding_institution_ids":["https://openalex.org/I2613432"],"apc_list":null,"apc_paid":null,"fwci":1.2943,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85207918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"32","issue":null,"first_page":"1084","last_page":"1089"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9825000166893005,"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/T10320","display_name":"Neural Networks and Applications","score":0.9825000166893005,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9277999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7377914786338806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7162904739379883},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5935167670249939},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5866329073905945},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5023970603942871},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4843353033065796},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.4319915473461151},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4124104380607605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36395084857940674},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3623386025428772},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16427478194236755},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09687188267707825}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7377914786338806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162904739379883},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5935167670249939},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5866329073905945},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5023970603942871},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4843353033065796},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.4319915473461151},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4124104380607605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36395084857940674},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3623386025428772},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16427478194236755},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09687188267707825},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2015.7294243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2015.7294243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"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":15,"referenced_works":["https://openalex.org/W862546018","https://openalex.org/W1466769144","https://openalex.org/W1523989055","https://openalex.org/W1840338487","https://openalex.org/W1997320786","https://openalex.org/W2004517035","https://openalex.org/W2008074096","https://openalex.org/W2063978378","https://openalex.org/W2101849231","https://openalex.org/W2122825543","https://openalex.org/W2135046866","https://openalex.org/W2183084493","https://openalex.org/W3033414884","https://openalex.org/W4255455317","https://openalex.org/W6686278362"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508","https://openalex.org/W2499527417"],"abstract_inverted_index":{"Rapid":[0],"advancement":[1],"of":[2,16,41,58,67,115,164,171,188],"sensing":[3],"and":[4,73,146,159],"information":[5],"technology":[6],"brings":[7,24],"the":[8,17,46,55,95,126,132,162],"big":[9,21,47],"data,":[10],"which":[11],"presents":[12,63],"a":[13,38,64,79,102,112,185],"gold":[14],"mine":[15],"21st":[18],"century.":[19],"However,":[20],"data":[22],"also":[23,152],"significant":[25],"challenges":[26],"for":[27,70,177],"data-driven":[28],"decision":[29],"making.":[30],"In":[31],"particular,":[32],"it":[33],"is":[34,174],"not":[35,135],"uncommon":[36],"that":[37,131,183],"large":[39,186],"number":[40,187],"variables":[42,53,96,119,158],"(or":[43],"features)":[44],"underlie":[45],"data.":[48],"Complex":[49],"interdependence":[50,89],"structures":[51,90,156],"among":[52,91,157],"challenge":[54],"traditional":[56,138],"framework":[57],"predictive":[59,74,165,178],"modeling.":[60,75,166],"This":[61],"paper":[62],"new":[65,80,169],"methodology":[66,134],"self-organizing":[68,113,172],"network":[69,173],"variable":[71,139],"clustering":[72,140,145],"Specifically,":[76],"we":[77],"developed":[78],"approach,":[81],"namely":[82],"nonlinear":[83,88],"coupling":[84],"analysis":[85],"to":[86,110],"measure":[87],"variables.":[92,190],"Further,":[93],"all":[94],"are":[97,120],"embedded":[98],"as":[99,122,143],"nodes":[100,109],"in":[101,125,180],"complex":[103],"network.":[104,116],"Nonlinear-coupling":[105],"forces":[106],"move":[107],"these":[108],"derive":[111],"topology":[114],"As":[117],"such,":[118],"clustered":[121],"sub-network":[123],"communities":[124],"space.":[127],"Experimental":[128],"results":[129],"demonstrated":[130],"proposed":[133,168],"only":[136],"outperforms":[137],"algorithms":[141],"such":[142],"hierarchical":[144],"oblique":[147],"principal":[148],"component":[149],"analysis,":[150],"but":[151],"effectively":[153],"identify":[154],"interdependent":[155],"further":[160],"improves":[161],"performance":[163],"The":[167],"idea":[170],"generally":[175],"applicable":[176],"modeling":[179],"many":[181],"disciplines":[182],"involve":[184],"highly-redundant":[189]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}