Title :
ProDA: An End-to-End Wavelet-Based OLAP System for Massive Datasets
Author :
Shahabi, Cyrus ; Jahangiri, Mehrdad ; Banaei-Kashani, Farnoush
Author_Institution :
Univ. of Southern California, Los Angeles
fDate :
4/1/2008 12:00:00 AM
Abstract :
ProDA employs wavelets to support exact, approximate, and progressive OLAP queries on large multidimensional datasets, while keeping update costs relatively low. ProDA not only supports online execution of ad hoc analytical queries on massive datasets, but also extends the set of supported analytical queries to include the entire family of polynomial aggregate queries as well as the new class of plot queries.
Keywords :
data mining; query processing; wavelet transforms; OLAP system; ProDA; massive datasets; multidimensional datasets; query processing; wavelet transforms; Client-server systems; Data analysis; Data visualization; Databases; Information retrieval; Polynomials; Query processing; Wavelet analysis; Wavelet domain; Wavelet transforms; OLAP tools; data-intensive computing; database management; information technology and systems; online query processing; range aggregate queries; scientific applications; wavelet transformation;
DOI :
10.1109/MC.2008.130
