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Mehrdad Jahangiri, Cyrus Shahabi
2005 Proceedings of the 2005 ACM SIGMOD international conference on Management of data - SIGMOD '05  
Towards this end, we have designed and developed a data storage and retrieval system, called ProDA, which deploys wavelet transform and provides fast approximate answers with progressively increasing accuracy  ...  We demonstrate the features of ProDA on a massive atmospheric dataset provided to us by NASA/JPL. Example 2. Consider the case we need to implement regression coefficient, defined as Cov(x, y)/  ...  CONCLUSION ProDA enables OSA to interact with massive multidimensional datasets.  ... 
doi:10.1145/1066157.1066278 dblp:conf/sigmod/JahangiriS05 fatcat:5jrc4nyp6fcurmoidyygroo5qe

Data-Intensive Computing in the 21st Century

Ian Gorton, Paul Greenfield, Alex Szalay, Roy Williams
2008 Computer  
In "ProDA: An End-to-End Wavelet-Based OLAP System for Massive Datasets," Cyrus Shahabi, Mehrdad Jahangiri, and Farnoush Banaei-Kashani describe a system that employs wavelets to support exact, approximate  ...  "Hardware Technologies for High-Performance Data-Intensive Computing" by Maya Gokhale and colleagues offers an investigation into hardware platforms suitable for data-intensive systems.  ...  Ian Gorton is the chief architect for Pacific Northwest  ... 
doi:10.1109/mc.2008.122 fatcat:a27b424safcybgrrtozeouza44

SEACOW: Synopsis Embedded Array Compression using Wavelet Transform [article]

Minsoo Kim, Hyubjin Lee, Yon Dohn Chung
2021 arXiv   pre-print
The scheme is based on wavelet transform and utilizes a hierarchical relationship between sub-arrays in the transformed data to compress the array.  ...  To perform experiments, we implemented an array database, SEACOW storage, and evaluated query processing performance on real data sets.  ...  ProDA [15] is an OLAP system that employs wavelets to manage massive data and support various types of queries.  ... 
arXiv:2109.07699v1 fatcat:dxd4wjmyovbu5pipuhhq2iprkq