Converting numeric values to strings for optimized database...

Data processing: database and file management or data structures – Database design – Data structure types

Reexamination Certificate

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Details

C707S793000

Reexamination Certificate

active

06907435

ABSTRACT:
The present invention provides a conversion method for converting numeric multi-dimensional database dimension members to textual representations. The conversion is specifically designed to enable the textual representations of the numeric dimension members to be properly sorted and converted back into numeric representations with accuracy. All numeric and date data is transformed during conversion, such that the textual representation of the numeric and date data is properly sorted as a text string, in the same order as it would be sorted as a number. The present invention also provides a means for accurate reverse-conversion (i.e., from textual representation to numeric representation) by first converting into text the information necessary to support the precision required by the relevant convention of the numeric representation. The present invention also provides a convention for determining the data type of the textual representations of values of various data types. The textual representation of mixed types is configured so that the sort order of different data types and the text string for numeric types will sort by value independent of the numeric data-types.

REFERENCES:
patent: 5584026 (1996-12-01), Knudsen et al.
patent: 5970490 (1999-10-01), Morgenstern
Storing and manipulating multimedia database objects by PostScript and relational databases; K. Tanaka;Interoperable Information Systems, Proceedings from the Second International Symposium, 1988, pp. 203-210.
Compression of indexes with full positional information in very large text databases; G. Linoff and C. Stanfill;SIGIR Forum, (spec. issue) 1993, pp. 88-95.
The Lempel-Ziv-Welch (LZW) data compression algorithm for packet radio; W. Kinser and R.H. Greenfield;IEEE Western Canada Conference on Computer, Power and Communications Systems in a Rural Environment; 1991; 225-9.
Classifications of graphics metafile encodings; J. Schoenhut;Computers&Graphicsvol. 10 No. 2; 1986; pp. 107-111.

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