{"title":"A scalable approach for index in generic location-aware rank query","authors":"Utharn Buranasaksee","doi":"10.1504/ijiids.2021.10033771","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"11 1","pages":"26-48"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Intelligent Information and Database Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijiids.2021.10033771","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
期刊介绍：
Intelligent information systems and intelligent database systems are a very dynamically developing field in computer sciences. IJIIDS provides a medium for exchanging scientific research and technological achievements accomplished by the international community. It focuses on research in applications of advanced intelligent technologies for data storing and processing in a wide-ranging context. The issues addressed by IJIIDS involve solutions of real-life problems, in which it is necessary to apply intelligent technologies for achieving effective results. The emphasis of the reported work is on new and original research and technological developments rather than reports on the application of existing technology to different sets of data.
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