Efficient Support of Statistical Operations

Authors:
Setrag N. Khoshafian;Douglas M. Bates;David J. De Witt
Affiliations:
MCC Corporation, Austin, TX;Univ. of Wisconsin-Madison, Madison;Univ. of Wisconsin-Madison, Madison
Venue:
IEEE Transactions on Software Engineering
Year:
1985

Citing 0
Cited 3

Programming constructs for database system implementation in EXODUS

SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
Supporting statistical operations in extensible databases: a case study

SSDBM'1994 Proceedings of the 7th international conference on Scientific and Statistical Database Management
Implementing subscripted identifiers in scientific databases

SSDBM'1990 Proceedings of the 5th international conference on Statistical and Scientific Database Management

Quantified Score

Hi-index	0.01

Visualization

Abstract

Most research in statistical databases has concentrated on retrieval, sampling, and aggregation type statistical queries. Data management issues associated with computational statistical operations have been ignored. As a first step towards integrating database management support of statistical operations, we have analyzed the performance of X'X, the QR decomposition, and the Singular Value Factorization. Alternative implementation strategies with respect to the relational and transposed storage organizations are developed. Implementation strategies corresponding to vector building block, vector-matrix, and direct algorithms with explicit buffer management are compared in terms of efficiency in performance.