Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9531
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dc.contributor.authorGarg, Deepti-
dc.contributor.authorSaha, Suman [Guided by]-
dc.date.accessioned2023-05-01T06:38:45Z-
dc.date.available2023-05-01T06:38:45Z-
dc.date.issued2014-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9531-
dc.description.abstractChapter 1: INTRODUCTION 1.1 Introduction Over the last decade, a very large amount of information has become available. From collections of camera pictures, to biological information, and to network traffic data, modern and cheap storage technologies have made it possible to gather such heavy datasets. But can we effectively use all this data or information? The ever increasing sizes of the datasets make it necessary to design new algorithms which must be capable of shifting through this data with extreme efficiency.en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectAlgorithmen_US
dc.subjectNeighbor Algorithmen_US
dc.subjectKD Treeen_US
dc.titleApplication of Approximate Nearest Neighbor Search Algorithms-KD Treeen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

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