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Computation-tuple sequences and object histories
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Source ACM Transactions on Database Systems (TODS) archive
Volume 11 ,  Issue 2  (June 1986) table of contents
Pages: 186 - 212  
Year of Publication: 1986
ISSN:0362-5915
Authors
Seymour Ginsburg  Univ. of Southern California, Los Angeles
Katsumi Tanaka  Univ. of Southern California, Los Angeles
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 32,   Citation Count: 2
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ABSTRACT

A record-based, algebraically-oriented model is introduced for describing data for “object histories” (with computation), such as checking accounts, credit card accounts, taxes, schedules, and so on. The model consists of sequences of computation tuples defined by a computation-tuple sequence scheme (CSS). The CSS has three major features (in addition to input data): computation (involving previous computation tuples), “uniform” constraints (whose satisfaction by a computation-tuple sequence u implies satisfaction by every interval of u), and specific sequences with which to start the valid computation-tuple sequences. A special type of CSS, called “local,” is singled out for its relative simplicity in maintaining the validity of a computation-tuple sequence. A necessary and sufficient condition for a CSS to be equivalent to at least one local CSS is given. Finally, the notion of “local bisimulatability” is introduced for regarding two CSS as conveying the same information, and two results on local bisimulatability in connection with local CSS are established.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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AFIPS O{fice Automation Conference Digests (1980-1983).
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SIGMOD: Proceedings on Databases for Business and Office Applications. ACM, New York, 1983.
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REVIEW

"Krishnarao Gururao Kulkarni : Reviewer"

There are many database applications where keeping track of the historical data for the objects in the database is important. Data models have, so far, treated this aspect by explicitly modeling time as one of the modeling constructs, although n  more...

Collaborative Colleagues:
Seymour Ginsburg: colleagues
Katsumi Tanaka: colleagues