{"id":"https://openalex.org/W2898701277","doi":"https://doi.org/10.1007/s10489-018-1313-0","title":"A new method for feature selection based on intelligent water drops","display_name":"A new method for feature selection based on intelligent water drops","publication_year":2018,"publication_date":"2018-10-29","ids":{"openalex":"https://openalex.org/W2898701277","doi":"https://doi.org/10.1007/s10489-018-1313-0","mag":"2898701277"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-018-1313-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-018-1313-0","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5102707731","display_name":"Mohammad Hossein Khosravi","orcid":"https://orcid.org/0000-0003-3595-1829"},"institutions":[{"id":"https://openalex.org/I97626857","display_name":"University of Birjand","ror":"https://ror.org/03g4hym73","country_code":"IR","type":"education","lineage":["https://openalex.org/I97626857"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mohammad Hossein Khosravi","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, Iran"],"raw_orcid":"https://orcid.org/0000-0003-3595-1829","affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, Iran","institution_ids":["https://openalex.org/I97626857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030735160","display_name":"Parsa Bagherzadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Parsa Bagherzadeh","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Concordia University, Montreal, Qu\u00e9bec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Concordia University, Montreal, Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102707731"],"corresponding_institution_ids":["https://openalex.org/I97626857"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":null,"fwci":1.4818,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87083246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"49","issue":"3","first_page":"1172","last_page":"1184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9843999743461609,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9843999743461609,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9836999773979187,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9767000079154968,"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/computer-science","display_name":"Computer science","score":0.8634800314903259},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7184755802154541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5751537084579468},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5728347897529602},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.48551011085510254},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4818074107170105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4753004014492035},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4703315198421478},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.435587078332901},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.42944806814193726},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.411074161529541},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3551766574382782},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.12664955854415894},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0676131546497345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8634800314903259},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7184755802154541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5751537084579468},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5728347897529602},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.48551011085510254},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4818074107170105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4753004014492035},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4703315198421478},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.435587078332901},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.42944806814193726},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.411074161529541},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3551766574382782},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.12664955854415894},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0676131546497345},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-018-1313-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-018-1313-0","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W140777655","https://openalex.org/W1488883378","https://openalex.org/W1541317945","https://openalex.org/W1552984013","https://openalex.org/W1565746575","https://openalex.org/W1602816180","https://openalex.org/W1660390307","https://openalex.org/W1965429011","https://openalex.org/W1974758710","https://openalex.org/W1981114175","https://openalex.org/W1984880266","https://openalex.org/W1987984266","https://openalex.org/W2003723996","https://openalex.org/W2004338242","https://openalex.org/W2007472600","https://openalex.org/W2010828982","https://openalex.org/W2013885787","https://openalex.org/W2014400652","https://openalex.org/W2015954856","https://openalex.org/W2016944307","https://openalex.org/W2028400802","https://openalex.org/W2029114282","https://openalex.org/W2032936806","https://openalex.org/W2033511636","https://openalex.org/W2033852320","https://openalex.org/W2035743720","https://openalex.org/W2039732647","https://openalex.org/W2072026441","https://openalex.org/W2083945868","https://openalex.org/W2087327261","https://openalex.org/W2088121750","https://openalex.org/W2090727353","https://openalex.org/W2091632079","https://openalex.org/W2093799708","https://openalex.org/W2097653553","https://openalex.org/W2100525000","https://openalex.org/W2107901645","https://openalex.org/W2108899349","https://openalex.org/W2109928590","https://openalex.org/W2116596942","https://openalex.org/W2122738917","https://openalex.org/W2124258777","https://openalex.org/W2133462743","https://openalex.org/W2142058066","https://openalex.org/W2399408884","https://openalex.org/W2528103328","https://openalex.org/W2551786633","https://openalex.org/W2612473079","https://openalex.org/W4241727697","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2090763504","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W148178222","https://openalex.org/W2080152487","https://openalex.org/W2239445980","https://openalex.org/W2104657898"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}