{"id":"https://openalex.org/W2135631159","doi":"https://doi.org/10.1145/1125857.1125860","title":"A space-partitioning-based indexing method for multidimensional non-ordered discrete data spaces","display_name":"A space-partitioning-based indexing method for multidimensional non-ordered discrete data spaces","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2135631159","doi":"https://doi.org/10.1145/1125857.1125860","mag":"2135631159"},"language":"en","primary_location":{"id":"doi:10.1145/1125857.1125860","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1125857.1125860","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","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/A5101785723","display_name":"Gang Qian","orcid":"https://orcid.org/0000-0002-2201-461X"},"institutions":[{"id":"https://openalex.org/I139325414","display_name":"University of Central Oklahoma","ror":"https://ror.org/02n455404","country_code":"US","type":"education","lineage":["https://openalex.org/I139325414"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gang Qian","raw_affiliation_strings":["University of Central Oklahoma, Edmond, OK","University of Central Oklahoma, Edmond OK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Oklahoma, Edmond, OK","institution_ids":["https://openalex.org/I139325414"]},{"raw_affiliation_string":"University of Central Oklahoma, Edmond OK","institution_ids":["https://openalex.org/I139325414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103136845","display_name":"Qiang Zhu","orcid":"https://orcid.org/0000-0001-7094-9236"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Zhu","raw_affiliation_strings":["The University of Michigan---Dearborn, Dearborn, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Michigan---Dearborn, Dearborn, MI","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657320","display_name":"Qiang Xue","orcid":"https://orcid.org/0000-0002-7387-5620"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Xue","raw_affiliation_strings":["Michigan State University, East Lansing, MI","Michigan State University East Lansing, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Michigan State University East Lansing, MI","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059755229","display_name":"Sakti Pramanik","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sakti Pramanik","raw_affiliation_strings":["Michigan State University, East Lansing, MI","Michigan State University East Lansing, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Michigan State University East Lansing, MI","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8753,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.90907749,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"24","issue":"1","first_page":"79","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9990000128746033,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.8111391067504883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7543021440505981},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6540378928184509},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6147534251213074},{"id":"https://openalex.org/keywords/space-partitioning","display_name":"Space partitioning","score":0.5908400416374207},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5638942122459412},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5618482828140259},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.523182213306427},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.4936305284500122},{"id":"https://openalex.org/keywords/search-tree","display_name":"Search tree","score":0.42952191829681396},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.42171555757522583},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41847503185272217},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27000197768211365},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.26083749532699585},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.22518590092658997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22229528427124023},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.21804258227348328},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18292516469955444}],"concepts":[{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.8111391067504883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7543021440505981},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6540378928184509},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6147534251213074},{"id":"https://openalex.org/C13670688","wikidata":"https://www.wikidata.org/wiki/Q3500548","display_name":"Space partitioning","level":2,"score":0.5908400416374207},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5638942122459412},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5618482828140259},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.523182213306427},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.4936305284500122},{"id":"https://openalex.org/C207024777","wikidata":"https://www.wikidata.org/wiki/Q621673","display_name":"Search tree","level":3,"score":0.42952191829681396},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.42171555757522583},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41847503185272217},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27000197768211365},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.26083749532699585},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.22518590092658997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22229528427124023},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.21804258227348328},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18292516469955444},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1125857.1125860","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1125857.1125860","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.93.5091","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.5091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.msu.edu/~pramanik/research/papers/papers/tois.06.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5199999809265137,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W27502476","https://openalex.org/W179105903","https://openalex.org/W1507518459","https://openalex.org/W1541459201","https://openalex.org/W1584370661","https://openalex.org/W1770616178","https://openalex.org/W1971927246","https://openalex.org/W2008627910","https://openalex.org/W2049644877","https://openalex.org/W2049797265","https://openalex.org/W2053183761","https://openalex.org/W2066799613","https://openalex.org/W2079656678","https://openalex.org/W2087721273","https://openalex.org/W2106626784","https://openalex.org/W2108908993","https://openalex.org/W2118269922","https://openalex.org/W2123837096","https://openalex.org/W2132572232","https://openalex.org/W2136145671","https://openalex.org/W2145725688","https://openalex.org/W2151135734","https://openalex.org/W2155776210","https://openalex.org/W2157092487","https://openalex.org/W2169413171","https://openalex.org/W2171129114","https://openalex.org/W2238624099","https://openalex.org/W2752061190","https://openalex.org/W2752853835","https://openalex.org/W2783839609","https://openalex.org/W6669417358","https://openalex.org/W6670271065","https://openalex.org/W7043153843"],"related_works":["https://openalex.org/W2401320555","https://openalex.org/W2145355078","https://openalex.org/W1976673004","https://openalex.org/W1969712592","https://openalex.org/W2109138500","https://openalex.org/W2070074980","https://openalex.org/W2155776210","https://openalex.org/W2383581812","https://openalex.org/W2295627533","https://openalex.org/W2135631159"],"abstract_inverted_index":{"There":[0],"is":[1,89,112,164],"an":[2,31,63,85,104,151,156],"increasing":[3],"demand":[4],"for":[5,36,41,73,79,149,155,186],"similarity":[6,42,60,170],"searches":[7,61,171],"in":[8,62,128,167,172],"a":[9,49,70,80,115,182],"multidimensional":[10],"non-ordered":[11,26],"discrete":[12,28,117],"data":[13,23,82],"space":[14],"(NDDS)":[15],"from":[16],"application":[17],"areas":[18],"such":[19],"as":[20],"bioinformatics":[21],"and":[22,27,135,192],"mining.":[24],"The":[25,106],"nature":[29],"of":[30,97,103,109,133,206,213],"NDDS":[32],"raises":[33],"new":[34,50],"challenges":[35,148],"developing":[37,150],"efficient":[38,59,169],"indexing":[39,51,74,184],"methods":[40,75],"searches.":[43],"In":[44,84],"this":[45,87],"article,":[46],"we":[47,66],"propose":[48],"technique,":[52],"called":[53],"the":[54,77,94,110,129,140,147,162,177,180,193,203,207],"NSP-tree":[55,111,163,178,208],",":[56],"to":[57,93,113,121,144],"support":[58],"NDDS.":[64,105,157],"As":[65],"know,":[67],"overlap":[68,124],"causes":[69],"performance":[71,205],"degradation":[72],"(e.g.,":[76],"R-tree)":[78],"continuous":[81],"space.":[83],"NDDS,":[86],"problem":[88],"even":[90],"worse":[91],"due":[92],"limited":[95],"number":[96,132],"elements":[98],"available":[99],"on":[100],"each":[101,126],"dimension":[102],"key":[107],"idea":[108],"use":[114],"novel":[116],"space-partitioning":[118],"(SP)":[119],"scheme":[120],"ensure":[122],"no":[123],"at":[125],"level":[127],"tree.":[130],"A":[131],"heuristics":[134],"strategies":[136],"are":[137],"incorporated":[138],"into":[139],"tree":[141,154],"construction":[142],"algorithms":[143],"deal":[145],"with":[146,179],"SP-based":[152],"index":[153],"Our":[158],"experiments":[159],"demonstrate":[160],"that":[161,188,202],"quite":[165],"promising":[166],"supporting":[168],"NDDSs.":[173,198],"We":[174],"have":[175],"compared":[176],"ND-tree,":[181],"data-partitioning-based":[183],"technique":[185],"NDDSs":[187],"was":[189,200,209],"proposed":[190],"recently,":[191],"linear":[194],"scan":[195],"using":[196],"different":[197],"It":[199],"found":[201],"search":[204],"better":[210],"than":[211],"those":[212],"both":[214],"methods.":[215]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
