{"id":"https://openalex.org/W2741196387","doi":"https://doi.org/10.1007/s41060-017-0064-z","title":"Efficient identification of Tanimoto nearest neighbors","display_name":"Efficient identification of Tanimoto nearest neighbors","publication_year":2017,"publication_date":"2017-08-02","ids":{"openalex":"https://openalex.org/W2741196387","doi":"https://doi.org/10.1007/s41060-017-0064-z","mag":"2741196387"},"language":"en","primary_location":{"id":"doi:10.1007/s41060-017-0064-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-017-0064-z","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs41060-017-0064-z.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs41060-017-0064-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002755684","display_name":"David C. Anastasiu","orcid":"https://orcid.org/0000-0002-8604-9248"},"institutions":[{"id":"https://openalex.org/I51504820","display_name":"San Jose State University","ror":"https://ror.org/04qyvz380","country_code":"US","type":"education","lineage":["https://openalex.org/I51504820"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David C. Anastasiu","raw_affiliation_strings":["Department of Computer Engineering, San Jos\u00e9 State University, San Jos\u00e9, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, San Jos\u00e9 State University, San Jos\u00e9, CA, USA","institution_ids":["https://openalex.org/I51504820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082384108","display_name":"George Karypis","orcid":"https://orcid.org/0000-0003-2753-1437"},"institutions":[{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]},{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Karypis","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Minnesota, Twin Cities, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Minnesota, Twin Cities, MN, USA","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002755684"],"corresponding_institution_ids":["https://openalex.org/I51504820"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.2472,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.85202539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"4","issue":"3","first_page":"153","last_page":"172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9750999808311462,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9750999808311462,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9631999731063843,"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"}},{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9412999749183655,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/jaccard-index","display_name":"Jaccard index","score":0.8456395864486694},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.7688673734664917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7527626752853394},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6136822700500488},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5833612084388733},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5709923505783081},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5166168808937073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4731734097003937},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4677291810512543},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4635419547557831},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4567112326622009},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37706658244132996},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1932886242866516}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.8456395864486694},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.7688673734664917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7527626752853394},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6136822700500488},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5833612084388733},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5709923505783081},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5166168808937073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4731734097003937},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4677291810512543},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4635419547557831},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4567112326622009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37706658244132996},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1932886242866516},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41060-017-0064-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-017-0064-z","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs41060-017-0064-z.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:scholarworks.sjsu.edu:computer_eng_pub-1039","is_oa":true,"landing_page_url":"https://scholarworks.sjsu.edu/computer_eng_pub/40","pdf_url":"https://scholarworks.sjsu.edu/computer_eng_pub/40","source":{"id":"https://openalex.org/S4377196389","display_name":"San Jos\u00e9 State University ScholarWorks (San Jose State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51504820","host_organization_name":"San Jose State University","host_organization_lineage":["https://openalex.org/I51504820"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1007/s41060-017-0064-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-017-0064-z","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs41060-017-0064-z.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G1161593311","display_name":null,"funder_award_id":"11624","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1700002175","display_name":null,"funder_award_id":"CNS-1162405","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1980262039","display_name":null,"funder_award_id":"W911NF-14-1-0316","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G2574668159","display_name":null,"funder_award_id":"1162405","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2832174611","display_name":null,"funder_award_id":"IIS-1247632","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3424441068","display_name":null,"funder_award_id":"W911NF-14-1","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G3744297293","display_name":null,"funder_award_id":"IIP-1414153","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3867963374","display_name":null,"funder_award_id":"IIS-0905220","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5029291416","display_name":"PFI:AIR - TT:  Automated Out-of-Core Execution of Parallel Message-Passing Applications","funder_award_id":"1414153","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5519121898","display_name":"BIGDATA: Mid-Scale: DA: Collaborative Research: Big Tensor Mining: Theory, Scalable Algorithms and Applications","funder_award_id":"1247632","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5946195615","display_name":null,"funder_award_id":"IIS-1447788","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G603225872","display_name":null,"funder_award_id":"W911NF-14-1-0316","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G6072224112","display_name":null,"funder_award_id":"IIS-0905220, OCI-1048018, CNS-1162405, IIS-1247632, IIP-1414153, IIS-1447788","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6813829703","display_name":null,"funder_award_id":"OCI-1048018","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6962332440","display_name":"III: Medium: Collaborative Research: Computational Methods to Advance Chemical Genetics by Bridging Chemical and Biological Spaces","funder_award_id":"0905220","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8907058826","display_name":null,"funder_award_id":"1447788","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8998121839","display_name":null,"funder_award_id":"911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309636","display_name":"University of Minnesota","ror":"https://ror.org/03grvy078"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2741196387.pdf","grobid_xml":"https://content.openalex.org/works/W2741196387.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W101371929","https://openalex.org/W107047660","https://openalex.org/W112627137","https://openalex.org/W265320276","https://openalex.org/W1488303220","https://openalex.org/W1494404649","https://openalex.org/W1516430151","https://openalex.org/W1522930108","https://openalex.org/W1532325895","https://openalex.org/W1601007989","https://openalex.org/W1711830179","https://openalex.org/W1794593115","https://openalex.org/W1968876140","https://openalex.org/W1972972498","https://openalex.org/W1989402069","https://openalex.org/W1994440731","https://openalex.org/W2029858480","https://openalex.org/W2035835285","https://openalex.org/W2042126044","https://openalex.org/W2052367365","https://openalex.org/W2056881083","https://openalex.org/W2057649987","https://openalex.org/W2058033857","https://openalex.org/W2071541305","https://openalex.org/W2075043416","https://openalex.org/W2097184821","https://openalex.org/W2097776316","https://openalex.org/W2098162425","https://openalex.org/W2102691345","https://openalex.org/W2104252183","https://openalex.org/W2105436061","https://openalex.org/W2110026675","https://openalex.org/W2117350857","https://openalex.org/W2118353525","https://openalex.org/W2121516976","https://openalex.org/W2123838366","https://openalex.org/W2128629010","https://openalex.org/W2147742901","https://openalex.org/W2150102617","https://openalex.org/W2158484860","https://openalex.org/W2162011385","https://openalex.org/W2166580670","https://openalex.org/W2169678694","https://openalex.org/W2172216479","https://openalex.org/W2176720124","https://openalex.org/W2176758925","https://openalex.org/W2250382098","https://openalex.org/W2561321986","https://openalex.org/W2565893866","https://openalex.org/W2617845534","https://openalex.org/W3144386677","https://openalex.org/W4213009331","https://openalex.org/W4255135250","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4396220545","https://openalex.org/W1994775821","https://openalex.org/W2012019886","https://openalex.org/W2091133150","https://openalex.org/W2331322489","https://openalex.org/W2945869148","https://openalex.org/W2611195251","https://openalex.org/W2398781203","https://openalex.org/W2009279505","https://openalex.org/W4206503171"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}