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Managing Large Data Sets Using Support Vector Machines, Ranjini Srinivas
Managing Large Data Sets Using Support Vector Machines, Ranjini Srinivas
Department of Computer Science and Engineering: Dissertations, Theses, and Student Research
Hundreds of Terabytes of CMS (Compact Muon Solenoid) data are being accumulated for storage day by day at the University of Nebraska-Lincoln, which is one of the eight US CMS Tier-2 sites. Managing this data includes retaining useful CMS data sets and clearing storage space for newly arriving data by deleting less useful data sets. This is an important task that is currently being done manually and it requires a large amount of time. The overall objective of this study was to develop a methodology to help identify the data sets to be deleted when there is a requirement for …