{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T19:31:42Z","timestamp":1729625502076,"version":"3.28.0"},"reference-count":18,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,10]]},"DOI":"10.1109\/bigdata.2014.7004283","type":"proceedings-article","created":{"date-parts":[[2015,1,13]],"date-time":"2015-01-13T15:04:23Z","timestamp":1421161463000},"page":"615-620","source":"Crossref","is-referenced-by-count":0,"title":["The Adaptive Projection Forest: Using adjustable exclusion and parallelism in metric space indexes"],"prefix":"10.1109","author":[{"given":"Lee Parnell","family":"Thompson","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weijia","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel P.","family":"Miranker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"17","first-page":"311","article-title":"Data structures and algorithms for nearest neighbor search in general metric spaces","author":"yianilos","year":"1993","journal-title":"SODA '93 Proceedings of the fourth annual ACM-SIAM Symposium on Discrete algorithms"},{"key":"18","article-title":"Excluded middle vantage point forests for nearest neighbor search","author":"yianilos","year":"1999","journal-title":"DIMACS Implementation Challenge Near Neighbor Searches Workshop"},{"key":"15","first-page":"194","article-title":"A quantitative analysis and performance study for similarity-search methods in highdimensional spaces","author":"weber","year":"1998","journal-title":"Proceedings of the 24rd International Conference on Very Large Data Bases VLDB '98"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1145\/1966865.1966873"},{"journal-title":"Foundations of Multidimensional and Metric Data Structures (The Morgan Kaufmann Series in Computer Graphics and Geometric Modeling)","year":"2005","author":"samet","key":"13"},{"key":"14","first-page":"484","article-title":"Similarity join in metric spaces using ed-index","author":"vlastislav","year":"2003","journal-title":"Database and Expert Systems Applications DEXA"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1007\/s007780200060"},{"key":"12","doi-asserted-by":"crossref","first-page":"501d","DOI":"10.1093\/nar\/gki025","article-title":"Ncbi reference sequence (refseq): A curated non-redundant sequence database of genomes, transcripts and proteins","volume":"33","author":"pruitt","year":"2005","journal-title":"Nucl Acids Res"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1145\/328939.328959"},{"key":"2","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1007\/3-540-49257-7_15","article-title":"When is nearest neighbor meaningful","author":"beyer","year":"1999","journal-title":"ICDT 7th International Conference on Database Theory"},{"year":"0","key":"1"},{"key":"10","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1109\/SSDM.2003.1214987","article-title":"MoBIoS: A metricspace dbms to support biological discovery","author":"miranker","year":"2003","journal-title":"Proceedings of the 15th International Conference on Scientific and Statistical Database Management SSDBM '03"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1145\/505241.505244"},{"journal-title":"Metric Spaces Library","year":"2007","author":"figueroa","key":"6"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1023\/A:1025026030880"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(03)00065-5"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1089\/153623103322006616"},{"journal-title":"Distance-based Indexing and Its Applications in Bioinformatics","year":"2007","author":"mao","key":"8"}],"event":{"name":"2014 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2014,10,27]]},"location":"Washington, DC, USA","end":{"date-parts":[[2014,10,30]]}},"container-title":["2014 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6973861\/7004197\/07004283.pdf?arnumber=7004283","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,22]],"date-time":"2017-06-22T23:34:06Z","timestamp":1498174446000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7004283\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,10]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2014.7004283","relation":{},"subject":[],"published":{"date-parts":[[2014,10]]}}}