DocumentCode :
921451
Title :
On the data model and access method of summary data management
Author :
Chen, Meng Chang ; McNamee, Lawrence P.
Author_Institution :
Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA
Volume :
1
Issue :
4
fYear :
1989
fDate :
12/1/1989 12:00:00 AM
Firstpage :
519
Lastpage :
529
Abstract :
A data model and an access method for summary data management are presented. Summary data, represented as a trinary tuple ⟨statistical function, category, summary⟩, are metaknowledge summarized by a statistical function of a category of individual information typically stored in a conventional database. For instance, ⟨average-income, female engineer with 10 years´ experience and master´s degree, $45000⟩ is a summary datum. The computational complexity of the derivability problem has been found intractable in general, and the proposed summary data model, enforcing the disjointness constraint, alleviates the intractable problem without loss of information. In order to store, manage, and access summary data, a multidimensional access method called summary data (SD) tree is proposed. By preserving the category hierarchy, the SD tree provides for efficient operations, including summary data search, derivation, insertion, and deletion
Keywords :
data structures; database management systems; SD tree; access method; average-income; category; computational complexity; data model; deletion; derivability problem; disjointness constraint; experience; female engineer; insertion; metaknowledge; multidimensional access method; statistical function; summary; summary data management; summary data search; trinary tuple; Bridges; Computer science; Data models; Database systems; Helium; Out of order; Programming profession; Query processing; Transaction databases;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/69.43426
Filename :
43426
Link To Document :
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