{"id":"https://openalex.org/W2101234949","doi":"https://doi.org/10.1145/2020408.2020418","title":"CHIRP","display_name":"CHIRP","publication_year":2011,"publication_date":"2011-08-21","ids":{"openalex":"https://openalex.org/W2101234949","doi":"https://doi.org/10.1145/2020408.2020418","mag":"2101234949"},"language":"en","primary_location":{"id":"doi:10.1145/2020408.2020418","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2020408.2020418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5015516607","display_name":"Leland Wilkinson","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leland Wilkinson","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077148853","display_name":"Anushka Anand","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anushka Anand","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dang Nhon Tuan","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dang Nhon Tuan","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":0.8093,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.71213444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"6","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9988999962806702,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9988999962806702,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9904999732971191,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.989300012588501,"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/chirp","display_name":"Chirp","score":0.7684983015060425},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.7067091464996338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6006306409835815},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6005619764328003},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5775675177574158},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5317626595497131},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5189711451530457},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5050771832466125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40303030610084534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3604811429977417}],"concepts":[{"id":"https://openalex.org/C132794960","wikidata":"https://www.wikidata.org/wiki/Q27304","display_name":"Chirp","level":3,"score":0.7684983015060425},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.7067091464996338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6006306409835815},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6005619764328003},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5775675177574158},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5317626595497131},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5189711451530457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5050771832466125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40303030610084534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3604811429977417},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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:10.1145/2020408.2020418","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2020408.2020418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W42998563","https://openalex.org/W98477689","https://openalex.org/W1529320414","https://openalex.org/W1543320899","https://openalex.org/W1554944419","https://openalex.org/W1577871831","https://openalex.org/W1594031697","https://openalex.org/W1676820704","https://openalex.org/W1899695350","https://openalex.org/W1977496278","https://openalex.org/W1982366717","https://openalex.org/W1985407020","https://openalex.org/W1985995090","https://openalex.org/W1988790447","https://openalex.org/W1996300093","https://openalex.org/W2002932370","https://openalex.org/W2007187232","https://openalex.org/W2020769785","https://openalex.org/W2034101742","https://openalex.org/W2041836310","https://openalex.org/W2047619977","https://openalex.org/W2053171205","https://openalex.org/W2090445392","https://openalex.org/W2099242680","https://openalex.org/W2107179775","https://openalex.org/W2110065044","https://openalex.org/W2112284223","https://openalex.org/W2115358726","https://openalex.org/W2118250684","https://openalex.org/W2124137508","https://openalex.org/W2126224751","https://openalex.org/W2129905273","https://openalex.org/W2133777675","https://openalex.org/W2135046866","https://openalex.org/W2137460067","https://openalex.org/W2148955140","https://openalex.org/W2168603260","https://openalex.org/W2170708028","https://openalex.org/W2294034237","https://openalex.org/W2428981601","https://openalex.org/W2554987453","https://openalex.org/W2785884112","https://openalex.org/W2962979321","https://openalex.org/W2979473749","https://openalex.org/W2999905431","https://openalex.org/W3085162807","https://openalex.org/W3120740533","https://openalex.org/W4229667167","https://openalex.org/W4233014035","https://openalex.org/W4239347400","https://openalex.org/W6684997022"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2377235482","https://openalex.org/W2351454232","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2382227980","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,42,51],"classifier":[3],"based":[4],"on":[5,59],"the":[6,30,64],"L-infinity":[7],"norm.":[8],"This":[9],"classifier,":[10],"called":[11],"CHIRP,":[12],"is":[13,40,71],"an":[14],"iterative":[15],"sequence":[16],"of":[17,32,46,57,66,75,79,85],"three":[18],"stages":[19],"(projecting,":[20],"binning,":[21],"and":[22,36,77,81],"covering)":[23],"that":[24],"are":[25],"designed":[26],"to":[27],"deal":[28],"with":[29],"curse":[31],"dimensionality,":[33],"computational":[34,69],"complexity,":[35],"nonlinear":[37],"separability.":[38],"CHIRP":[39,58],"not":[41],"hybrid":[43],"or":[44],"modification":[45],"existing":[47],"classifiers;":[48],"it":[49],"employs":[50],"new":[52],"covering":[53],"algorithm.":[54],"The":[55],"accuracy":[56,65],"widely-used":[60],"benchmark":[61],"datasets":[62],"exceeds":[63],"competitors.":[67],"Its":[68],"complexity":[70],"sub-linear":[72],"in":[73,83],"number":[74,78,84],"instances":[76],"variables":[80],"subquadratic":[82],"classes.":[86]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}
