True 3-D displays for avionics and mission crewstations
Elizabeth A. Sholler, Frederick M. Meyer, et al.
SPIE AeroSense 1997
Methods for Approximate Query Processing (AQP) are essential for dealing with massive data. They are often the only means of providing interactive response times when exploring massive datasets, and are also needed to handle high speed data streams. These methods proceed by computing a lossy, compact synopsis of the data, and then executing the query of interest against the synopsis rather than the entire dataset. We describe basic principles and recent developments in AQP. We focus on four key synopses: random samples, histograms, wavelets, and sketches. We consider issues such as accuracy, space and time efficiency, optimality, practicality, range of applicability, error bounds on query answers, and incremental maintenance.We also discuss the tradeoffs between the different synopsis types. © 2012 G. Cormode, M. Garofalakis, P. J. Haas and C. Jermaine.
Elizabeth A. Sholler, Frederick M. Meyer, et al.
SPIE AeroSense 1997
Preeti Malakar, Thomas George, et al.
SC 2012
Raymond Wu, Jie Lu
ITA Conference 2007
Corneliu Constantinescu
SPIE Optical Engineering + Applications 2009