{“id”:“https://openalex.org/W3182316305“,”doi“:”https://doi.org/10.4018/ijcini.20211001.oa38“,”title“:”Hybrid Approach for Enhancement the Performance of Genomic Data for Stream Matching“,”display_name“:”提高基因组数据流匹配性能的混合方法“,”publication_year“:2021,”publiation_date“:”2021-07-12“,”ids“:{”openalex“:”https://openalex.org/W3182316305“,”doi“:”https://doi.org/10.4018/ijcini.20211001.oa38“,”mag“:”3182316305“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://doi.org/10.4018/ijcini.20211001.oa38,“pdf_url”:https://www.igi-global.com/ViewTitle.aspx?TitleId=274063&isxn=9781799859857,“源”:{“id”:https://openalex.org/S157664362“,”display_name“:”国际认知信息学与自然智能杂志“,”issn_l“:”1557-3958“,”isn“:[”1557-39“,”1557-3966“],”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/P4310320424“,”“host_organization_name”:“IGI全局”,“host_ordanization_lineage”:[“https://openalex.org/P4310320424“],”host_organization_lineage_names“:[”IGI Global“],“type”:“journal”},“license”:null,“licence_id”:null,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true},”type“:”article“,”type_crossref“:“jornal-article”,“indexed_in”:[”crossref“]https://www.igi-global.com/ViewTitle.aspx?TitleId=274063&isxn=9781799859857“,”any_repository_has_fulltext“:false},”authorships“:[{”author_position“:”第一“,”作者“:{”id“:”https://openalex.org/A5022685474“,”display_name“:”T.Gururaj“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I65674248“,”display_name“:”维斯瓦拉亚理工大学“,”ror“:”https://ror.org/00ha14p11“,”country_code“:”IN“,”type“:“教育”,”世系“:[”https://openalex.org/I65674248“]}],”国家“:[”IN“],”is_corresponding“:false,”raw_author_name“:”None Gururaj T.“,”raw _ afiliation_strings“:[“印度贝拉加维维斯瓦拉亚理工大学拉迈亚理工学院信息科学与工程系”]},{“author_position”:“last”,“author”:{“id”:“https://openalex.org/A5056602415“,”display_name“:”G.M.Siddesh“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I65674248“,”display_name“:”维斯瓦拉亚理工大学“,”ror“:”https://ror.org/00ha14p11“,”country_code“:”IN“,”type“:“教育”,”世系“:[”https://openalex.org/I65674248“]}],”国家“:[”IN“],”is_corresponding“:false,”raw_author_name“:”None Siddesh G.M.“,”raw _affiliation_strings“:[“印度贝拉加维维斯瓦拉亚理工大学拉玛亚理工学院信息科学与工程系”]}]“countries_distiction_count”:1,”institutions_distition_count“:1,“corresponding_author_ids”:[],“corresponding_institution_ids“:[],”apc_list“:null,”apc_payed“:null,”has_fulltext“:true,”fulltext_origin“:”pdf“,”cited_by_count“:1,”citecd_by_percentile_year“:{”min“:63,”max“:72},”biblio“:{“volume”:“15”,“issue”:“4”,“first_page”:“1”,“last_page”:”18“},“is_retracted”:false,“is_paratext”:false,“primary_topic”:{“id”:“https://openalex.org/T11269“,”display_name“:”文本压缩和索引算法“,”score“:0.9964,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T11269“,”display_name“:”文本压缩和索引算法“,”score“:0.9964,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T12761“,”“display_name”:“适应数据流中的概念漂移”,“score”:0.9951,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10538“,”“display_name”:“数据挖掘技术与应用”,“score”:0.9877,“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“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/string匹配“,”display_name“:”字符串匹配“,”score“:0.521552},{”id“:”https://openalex.org/keywords/data-streams网站“,”display_name“:”数据流“,”score“:0.502313}],”concepts“:[{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.8522352},{”id“:”https://openalex.org/C165064840,“wikidata”:https://www.wikidata.org/wiki/Q1321061“,”display_name“:”Matching(statistics)“,”level“:2,”score“:0.68597406},{”id“:”https://openalex.org/C2778112365,“wikidata”:https://www.wikidata.org/wiki/Q3511065“,”display_name“:”Sequence(biology)“,”level“:2,”score“:0.59203494},{”id“:”https://openalex.org/C2780451532,“wikidata”:https://www.wikidata.org/wiki/Q759676“,”display_name“:”Task(project management)“,”level“:2,”score“:0.55642384},{”id“:”https://openalex.org/C278009758,“wikidata”:https://www.wikidata.org/wiki/Q6804172“,”display_name“:”Measure(data warehouse)“,”level“:2,”score“:0.48642612},{”id“:”https://openalex.org/C103278499,“wikidata”:https://www.wikidata.org/wiki/Q254465“,”display_name“:”相似性(几何)“,”level“:3,”score“:0.48368415},{”id“:”https://openalex.org/C51679486,“wikidata”:https://www.wikidata.org/wiki/Q380546“,”display_name“:”DNA测序“,”level“:3,”score“:0.46886617},{”id“:”https://openalex.org/C90559484,“wikidata”:https://www.wikidata.org/wiki/Q778379“,”display_name“:”Expression(computer science)“,”level“:2,”score“:0.44024482},{”id“:”https://openalex.org/C124101348,“wikidata”:https://www.wikidata.org/wiki/Q172491“,”display_name“:”数据挖掘“,”level“:1,”score“:0.42664257},{”id“:”https://openalex.org/C68859911,“wikidata”:https://www.wikidata.org/wiki/Q1503724“,”display_name“:”模式匹配“,”level“:2,”score“:0.41368347},{”id“:”https://openalex.org/C2989134064,“wikidata”:https://www.wikidata.org/wiki/Q288510“,”display_name“:”执行时间“,”级别“:2,”分数“:0.41181457},{”id“:”https://openalex.org/C173608175,“wikidata”:https://www.wikidata.org/wiki/Q232661“,”display_name“:”并行计算“,”level“:1,”score“:0.30378488},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.27108943},{”id“:”https://openalex.org/C552990157,“wikidata”:https://www.wikidata.org/wiki/Q7430“,”display_name“:”DNA“,”level“:2,”score“:0.13855863},{”id“:”https://openalex.org/C115961682,“wikidata”:https://www.wikidata.org/wiki/Q860623“,”display_name“:”Image(mathematics)“,”level“:2,”score“:0.07166144},{”id“:”https://openalex.org/C105795698,“wikidata”:https://www.wikidata.org/wiki/Q12483“,”display_name“:”Statistics“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C54355233,“wikidata”:https://www.wikidata.org/wiki/Q7162“,”display_name“:”Genetics“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.0},{”id“:”https://openalex.org/C187736073,“wikidata”:https://www.wikidata.org/wiki/Q2920921“,”display_name“:”管理“,”级别“:1,”分数“:0.0},{”id“:”https://openalex.org/C162324750,“wikidata”:https://www.wikidata.org/wiki/Q8134“,”display_name“:”经济学“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C86803240,“wikidata”:https://www.wikidata.org/wiki/Q420“,”display_name“:”生物学“,”等级“:0,”分数“:0.0},{”id“:”https://openalex.org/C199360897,“wikidata”:https://www.wikidata.org/wiki/Q9143“,”display_name“:”编程语言“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:1.”locations“:[{”is_oa“:true,”landing_page_url“:”https://doi.org/10.4018/ijcini.20211001.oa38,“pdf_url”:https://www.igi-global.com/ViewTitle.aspx?TitleId=274063&isxn=9781799859857,“源”:{“id”:https://openalex.org/S157664362“,”display_name“:”国际认知信息学与自然智能杂志“,”issn_l“:”1557-3958“,”isn“:[”1557-39“,”1557-3966“],”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/P4310320424“,”“host_organization_name”:“IGI全局”,“host_ordanization_lineage”:[“https://openalex.org/P4310320424“],”host_organization_lineage_names“:[”IGI Global“],“type”:“journal”},“license”:null,“licence_id”:null,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true}],“best_oa_location”:{“is_oa”:true,“landing_page_url”:“https://doi.org/10.4018/ijcini.20211001.oa38,“pdf_url”:https://www.igi-global.com/ViewTitle.aspx?TitleId=274063&isxn=9781799859857,“源”:{“id”:https://openalex.org/S157664362“,”display_name“:”国际认知信息学与自然智能杂志“,”issn_l“:”1557-3958“,”isn“:[”1557-39“,”1557-3966“],”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/P4310320424“,”“host_organization_name”:“IGI全局”,“host_ordanization_lineage”:[“https://openalex.org/P4310320424“],”host_organization_lineage_names“:[”IGI Global“],“type”:“journal”},“license”:null,“licence_id”:null,“version”:“publishedVersion”,“is_accepted”:true,“is_published”:true},”sustainable_development_goals“:[],”grants“:【】,”dataset“:【],“versions”:【】、“referenced_works_count”:16,“reference d_works”:【”https://openalex.org/W2037444377","https://openalex.org/W2096634299","https://openalex.org/W2141970055","https://openalex.org/W2470112558","https://openalex.org/W2529108608","https://openalex.org/W2725860071","https://openalex.org/W2793719179","https://openalex.org/W2809393715","https://openalex.org/W2897927784","https://openalex.org/W2927218441","https://openalex.org/W2939914288","https://openalex.org/W2947060454","https://openalex.org/W2949839865","https://openalex.org/W2969404905","https://openalex.org/W3106327210","https://openalex.org/W3209873050“],”related_works“:[”https://openalex.org/W86652014","https://openalex.org/W3101249758","https://openalex.org/W2392243736","https://openalex.org/W2382079200","https://openalex.org/W2381021552","https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2328518092","https://openalex.org/W2166090428","https://openalex.org/W2012019886“],”ngrams_url“:”https://api.openalex.org/works/W3182316305/ngrams网站“,”“abstract_inverted_index”:{“In”:[0],“gene”:[1,23],“expression”:[2,5],“analysis”:[3],“the”:[4,39,52,64121],“levels”:[6],“of”:[7,9,17,87140],“0000]”:[8],“genes”:[10],“are”:[11],“Analysed”:[12],“such”:[13,79],“as”:[14,80],“separated”:[15],“stages”:[16],“治疗”:[18],“或”:[19],“疾病”:[20],“识别”:[21],“特殊”:[22],“sequence“:[24,70],”pattern“:[25],”is“:[26],”a“:[27125],”challengeing“:[28],”task“:[29],”with“:[30133],”respect“:[31],”to“:[32,67117153],”performance“:[33,40,76],”issues。“:[34],”The“:[35,72138],”proposed“:[36,73122146],”solution“:[37,74123],”addresses“:[38,75],”issues“:[41],”in“:[42],”genomic“:[43],”stream“:[44102],”matching“:[45,90],”by“:[46],”inverage“:[47],”assembly“:[48],”and“:[49,58,98115143],”sequencing。“:[50],“计数”:[51],“k-mer”:[53,84],“基于”:[54128],“on”:[55,69129],“k输入”:[56],“值”:[57],“同时”:[59,94],“执行”:[60,95],“DNA”:[61],“排序”:[62],“任务”:[63],“研究”:[65],“需要”:[66],“集中”:[68],“匹配”。“:[71103],”问题“:[77],”度量“:[78],”处理“:[81,99144],”时间“:[82100145],”for“:[83,89101112],”计数“:[85],”数字“:[86],”操作“:[88],”相似性“:[91],”内存“:[92141],”利用率“:[93142],”相似度“:[96],”搜索“:[97],”By“:[104],”建议“:[105],”an“:[106],”“改进”:[107],“算法”:[108],“修订”:[109],“拉宾“:[110],“卡普(RRK)”:[111],“基本”:[113],“操作”:[114],“还”:[116],“实现”:[118],“更多”:[119],“效率”:[120],“建议”:[124],“新颖”:[126],“框架”:[127],“Hadoop”:[130],“MapReduce”:[131],“混合”:[132],“Pig”:[134],“&”:[135],“Apache”:[136],“Tez。“:[137],”度量“:[139],”模型“:[147],”证明“:[148],”其“:[149],”效率“:[150],”何时“:[151],”比较“:[152],”现有“:[154],”方法。“:[155]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W3182316305“,”counts_by_year“:[{”年“:2022,”引用_by_count“:1}],”更新日期“:”2024-05-17T02:19:37.990608“,”创建日期“:“2021-07-19”}