{"id":"https://openalex.org/W2142001856","doi":"https://doi.org/10.1109/hicss.2003.1174251","title":"A general method for statistical performance evaluation","display_name":"A general method for statistical performance evaluation","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2142001856","doi":"https://doi.org/10.1109/hicss.2003.1174251","mag":"2142001856"},"language":"en","primary_location":{"id":"doi:10.1109/hicss.2003.1174251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hicss.2003.1174251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the","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/A5023852923","display_name":"Longzhuang Li","orcid":"https://orcid.org/0000-0002-3530-179X"},"institutions":[{"id":"https://openalex.org/I96749437","display_name":"Texas A&M University \u2013 Corpus Christi","ror":"https://ror.org/01mrfdz82","country_code":"US","type":"education","lineage":["https://openalex.org/I96749437"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Longzhuang Li","raw_affiliation_strings":["Department of Computing and Mathematical Science, Texas A and M University, Corpus Christi, TX, USA","Dept. of Computing and Mathematical Sci., Texas A & M Uni., Corpus Christi, TX"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Mathematical Science, Texas A and M University, Corpus Christi, TX, USA","institution_ids":["https://openalex.org/I96749437"]},{"raw_affiliation_string":"Dept. of Computing and Mathematical Sci., Texas A & M Uni., Corpus Christi, TX","institution_ids":["https://openalex.org/I96749437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057883374","display_name":"Yi Shang","orcid":"https://orcid.org/0000-0001-7771-4034"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Shang","raw_affiliation_strings":["Department of computer Engineering & Computer Science, University of Missouri, Columbia, MO, USA","Dept. of Computer Engr. & Computer Sci., Uni. of Missouri, Columbia, MO"],"affiliations":[{"raw_affiliation_string":"Department of computer Engineering & Computer Science, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Dept. of Computer Engr. & Computer Sci., Uni. of Missouri, Columbia, MO","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069960498","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0003-2615-2603"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Department of computer Engineering & Computer Science, University of Missouri, Columbia, MO, USA","Dept. of Computer Engr. & Computer Sci., Uni. of Missouri, Columbia, MO"],"affiliations":[{"raw_affiliation_string":"Department of computer Engineering & Computer Science, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Dept. of Computer Engr. & Computer Sci., Uni. of Missouri, Columbia, MO","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113684002","display_name":"Hongchi Si","orcid":null},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongchi Si","raw_affiliation_strings":["University of Missouri ***"],"affiliations":[{"raw_affiliation_string":"University of Missouri ***","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023852923"],"corresponding_institution_ids":["https://openalex.org/I96749437"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.22672807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"10 pp.","last_page":"10 pp."},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7297507524490356},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.6699869632720947},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.63287752866745},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6071057319641113},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5604638457298279},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5006208419799805},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4784957468509674},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.4543927311897278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40690386295318604},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3798637390136719},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37190622091293335},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36661297082901},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21335941553115845}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297507524490356},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.6699869632720947},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.63287752866745},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6071057319641113},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5604638457298279},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5006208419799805},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4784957468509674},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4543927311897278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40690386295318604},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3798637390136719},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37190622091293335},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36661297082901},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21335941553115845},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/hicss.2003.1174251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hicss.2003.1174251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.109.1064","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.1064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://csdl.computer.org/comp/proceedings/hicss/2003/1874/04/187440108c.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1483149032","https://openalex.org/W1588206936","https://openalex.org/W1598715398","https://openalex.org/W1639032689","https://openalex.org/W1833785989","https://openalex.org/W1974077465","https://openalex.org/W1981202432","https://openalex.org/W2002664886","https://openalex.org/W2006119904","https://openalex.org/W2009207944","https://openalex.org/W2052514130","https://openalex.org/W2071098104","https://openalex.org/W2079672501","https://openalex.org/W2114006712","https://openalex.org/W2120734209","https://openalex.org/W2127707413","https://openalex.org/W2138621811","https://openalex.org/W2146378993","https://openalex.org/W2915595141","https://openalex.org/W3023540311","https://openalex.org/W3171830700","https://openalex.org/W4240407914","https://openalex.org/W4240538493","https://openalex.org/W6629013456","https://openalex.org/W6635282694","https://openalex.org/W6636850861","https://openalex.org/W6638697285","https://openalex.org/W6645485993","https://openalex.org/W7021264618"],"related_works":["https://openalex.org/W2359776416","https://openalex.org/W2085384747","https://openalex.org/W2088166309","https://openalex.org/W1891216533","https://openalex.org/W2353788488","https://openalex.org/W4312133475","https://openalex.org/W4238976562","https://openalex.org/W2276587472","https://openalex.org/W4399207312","https://openalex.org/W4249469540"],"abstract_inverted_index":{"In":[0,60],"the":[1,27,33,61,66,80,84,90,95,118,124],"paper,":[2],"we":[3,31,88],"propose":[4],"a":[5,111,132],"general":[6,91],"method":[7,13,92],"for":[8,68,82],"statistical":[9,16,23,38],"performance":[10,34,96],"evaluation.":[11],"The":[12],"incorporates":[14],"various":[15],"metrics":[17,39],"and":[18,56,75,108],"automatically":[19],"selects":[20],"an":[21],"appropriate":[22],"metric":[24],"according":[25],"to":[26,93],"problem":[28],"parameters.":[29],"Empirically,":[30],"compare":[32,94],"of":[35,54,97,113],"five":[36],"representative":[37],"under":[40],"different":[41],"conditions":[42],"through":[43],"simulation.":[44],"They":[45],"are":[46],"expected":[47,63],"loss,":[48],"Friedman":[49],"statistic,":[50],"interval-based":[51],"selection,":[52],"probability":[53],"win,":[55],"probably":[57,76],"approximately":[58,77],"correct.":[59],"experiments,":[62],"loss":[64],"is":[65,79,123,129],"best":[67,81,125],"small":[69],"means,":[70],"like":[71],"1":[72],"or":[73],"2,":[74],"correct":[78],"all":[83],"other":[85],"cases.":[86],"Also,":[87],"apply":[89],"HITS-based":[98,133],"algorithms":[99],"that":[100],"combine":[101],"four":[102,119],"relevance-scoring":[103,120],"methods,":[104,121],"VSM,":[105],"Okapi,":[106],"TLS,":[107],"CDR,":[109],"using":[110],"set":[112],"broad":[114],"topic":[115],"queries.":[116],"Among":[117],"CDR":[122],"statistically":[126],"when":[127],"it":[128],"combined":[130],"with":[131],"algorithm.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}