{"id":"https://openalex.org/W2004018991","doi":"https://doi.org/10.1016/j.eswa.2006.10.029","title":"An orthogonally filtered tree classifier based on nonlinear kernel-based optimal representation of data","display_name":"An orthogonally filtered tree classifier based on nonlinear kernel-based optimal representation of data","publication_year":2006,"publication_date":"2006-11-28","ids":{"openalex":"https://openalex.org/W2004018991","doi":"https://doi.org/10.1016/j.eswa.2006.10.029","mag":"2004018991"},"language":"en","primary_location":{"id":"doi:10.1016/j.eswa.2006.10.029","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2006.10.029","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","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/A5007953670","display_name":"Hyoung Kyu Cho","orcid":"https://orcid.org/0000-0001-6222-3734"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"H CHO","raw_affiliation_strings":["Department of Industrial and Information Engineering, University of Tennessee, 307 East Stadium Hall, Knoxville, TN 37996, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Information Engineering, University of Tennessee, 307 East Stadium Hall, Knoxville, TN 37996, USA#TAB#","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007953670"],"corresponding_institution_ids":["https://openalex.org/I75027704"],"apc_list":{"value":3220,"currency":"USD","value_usd":3220},"apc_paid":null,"fwci":1.8225,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86001573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"34","issue":"2","first_page":"1028","last_page":"1037"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.979200005531311,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6863396763801575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6197682023048401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6003231406211853},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5293997526168823},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5119255781173706},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.48196646571159363},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.47918879985809326},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.44793474674224854},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.445814847946167},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.43432024121284485},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.419500470161438},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.381905734539032},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32545900344848633},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.26627102494239807},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.06643205881118774}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6863396763801575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6197682023048401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6003231406211853},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5293997526168823},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5119255781173706},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.48196646571159363},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.47918879985809326},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.44793474674224854},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.445814847946167},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.43432024121284485},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.419500470161438},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.381905734539032},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32545900344848633},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.26627102494239807},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.06643205881118774},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.eswa.2006.10.029","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2006.10.029","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1973253257","https://openalex.org/W1978403823","https://openalex.org/W1978994389","https://openalex.org/W1979357005","https://openalex.org/W1995199924","https://openalex.org/W2004046805","https://openalex.org/W2004186751","https://openalex.org/W2006614180","https://openalex.org/W2027723195","https://openalex.org/W2030882725","https://openalex.org/W2041657594","https://openalex.org/W2042810309","https://openalex.org/W2077791644","https://openalex.org/W2105497903","https://openalex.org/W2108995755","https://openalex.org/W2109788341","https://openalex.org/W2119821739","https://openalex.org/W2125568459","https://openalex.org/W2139269942","https://openalex.org/W2140095548","https://openalex.org/W2169347809","https://openalex.org/W3085162807","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2905418897","https://openalex.org/W1607829095","https://openalex.org/W3033319502","https://openalex.org/W1982817239","https://openalex.org/W3093470103","https://openalex.org/W2046363782","https://openalex.org/W2375053148","https://openalex.org/W1967057085","https://openalex.org/W1980862902","https://openalex.org/W1995477328"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}