{"id":"https://openalex.org/W2085060103","doi":"https://doi.org/10.1109/bmei.2011.6098671","title":"A new method on similarity of fingerprints and its critical value determination","display_name":"A new method on similarity of fingerprints and its critical value determination","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2085060103","doi":"https://doi.org/10.1109/bmei.2011.6098671","mag":"2085060103"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2011.6098671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2011.6098671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","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/A5100699785","display_name":"Xiaoqin Zhang","orcid":"https://orcid.org/0000-0003-0958-7285"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoqin Zhang","raw_affiliation_strings":["School of Mathematical Sciences, Shanxi University, Taiyuan, Shanxi, China","School of Mathematical Sciences, Shanxi University, Taiyuan, Shanxi, 030006, P.R.C"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Shanxi University, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I181877577"]},{"raw_affiliation_string":"School of Mathematical Sciences, Shanxi University, Taiyuan, Shanxi, 030006, P.R.C","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069056378","display_name":"Yunsheng Song","orcid":null},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunsheng Song","raw_affiliation_strings":["School of Mathematical Sciences, Shanxi University, Taiyuan, Shanxi, China","School of Mathematical Sciences, Shanxi University, Taiyuan, Shanxi, 030006, P.R.C"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Shanxi University, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I181877577"]},{"raw_affiliation_string":"School of Mathematical Sciences, Shanxi University, Taiyuan, Shanxi, 030006, P.R.C","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100699785"],"corresponding_institution_ids":["https://openalex.org/I181877577"],"apc_list":null,"apc_paid":null,"fwci":0.765,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82382408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"20","issue":null,"first_page":"2041","last_page":"2045"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11709","display_name":"Traditional Chinese Medicine Analysis","score":0.9514999985694885,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11709","display_name":"Traditional Chinese Medicine Analysis","score":0.9514999985694885,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.939300000667572,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9228000044822693,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6036738157272339},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5959723591804504},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5898218154907227},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5845854878425598},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5649164915084839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5326195955276489},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5153148174285889},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.5138623714447021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5046011209487915},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.4961336553096771},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49010857939720154},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.4780747890472412},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4453994929790497},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.4425322711467743},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3779677450656891},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3436628580093384},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2118086814880371},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13161557912826538}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6036738157272339},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5959723591804504},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5898218154907227},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5845854878425598},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5649164915084839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5326195955276489},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5153148174285889},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.5138623714447021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5046011209487915},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.4961336553096771},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49010857939720154},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.4780747890472412},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4453994929790497},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.4425322711467743},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3779677450656891},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3436628580093384},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2118086814880371},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13161557912826538},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2011.6098671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2011.6098671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322536","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2003007138","https://openalex.org/W2124485076","https://openalex.org/W2168302011","https://openalex.org/W2172789080","https://openalex.org/W2198702334","https://openalex.org/W2364546913","https://openalex.org/W2392984197","https://openalex.org/W2410642348","https://openalex.org/W2465277002","https://openalex.org/W6707532934","https://openalex.org/W6711204369","https://openalex.org/W6714850042","https://openalex.org/W6719585290"],"related_works":["https://openalex.org/W126212742","https://openalex.org/W1948687848","https://openalex.org/W2953417386","https://openalex.org/W2010199950","https://openalex.org/W2473504045","https://openalex.org/W2284045667","https://openalex.org/W57923944","https://openalex.org/W875509673","https://openalex.org/W3111740253","https://openalex.org/W4313413039"],"abstract_inverted_index":{"The":[0],"calculation":[1,32,157],"about":[2],"similarity":[3,122],"of":[4,19,40,87,97,99,105,134,166],"fingerprints":[5],"and":[6,48,94,102,140,159],"its":[7],"critical":[8,77,135,171],"value":[9,78,136,172],"determination":[10,133],"is":[11,53,79,85,117],"an":[12],"important":[13],"approach":[14],"to":[15,34,119,131,169],"control":[16],"the":[17,25,41,69,76,100,103,121,132,160,164,167,170],"quality":[18],"traditional":[20,31,57,156],"Chinese":[21],"medicines":[22],"(TCM)":[23],"in":[24],"related":[26],"study.":[27],"There":[28],"are":[29,59],"many":[30,72],"method":[33,139],"compute":[35],"similarity,":[36],"such":[37],"as":[38],"cosine":[39,98],"angle,":[42],"pearson":[43],"correlation":[44],"coefficient,":[45],"euclidean":[46],"distance,":[47],"so":[49,63,83],"on.":[50],"However,":[51],"it":[52,84],"found":[54],"that":[55,64],"these":[56],"methods":[58],"not":[60,67],"sensitive":[61],"enough,":[62],"they":[65],"can":[66],"distinguish":[68],"difference":[70],"among":[71],"TCM":[73],"samples.":[74],"And":[75],"always":[80],"given":[81],"subjective,":[82],"lack":[86],"objectivity.":[88],"Basing":[89],"on":[90],"two":[91,124,146],"previous":[92],"problems":[93],"taking":[95],"advantage":[96],"angle":[101],"idea":[104],"support":[106],"vector":[107],"machine(SVM),":[108],"we":[109,127],"propose":[110],"a":[111,129],"mew":[112],"method:":[113],"Linear":[114],"measure,":[115],"which":[116],"used":[118],"measure":[120,150],"between":[123],"fingerprints.":[125],"Then":[126],"give":[128],"way":[130,168],"utilizing":[137],"resampling":[138],"empirical":[141],"distribution":[142],"function.":[143],"At":[144],"last":[145],"examples":[147],"show":[148],"linear":[149],"has":[151],"much":[152],"more":[153],"merits":[154],"than":[155],"method,":[158],"final":[161],"example":[162],"proves":[163],"feasibility":[165],"determination.":[173]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
