Digital DNA sequence
In an embodiment of the invention, a method of classifying a data object includes: scanning the data object; evaluating contents of data objects base on at least one selected rule; and generating a digital DNA sequence that classifies at least some contents in the data object.
1. A computer-implemented method of classifying a data object, comprising:
scanning the data object with a processor;
evaluating contents of the data object based on at least one selected rule;
generating a sequence that classifies at least some contents of the data object, and
storing the sequence as a single digital file in a selected target memory,
further comprising a discrete weight decay algorithm comprising: assigning a given weight value for a rule; and if additional values are received for the given weight value for the rule, then permitting those additional values to have a progressively lesser effect on a summed weight value.
2. The method of claim 1 , wherein the sequence comprises at least one expressed trait with reference to the data object.
3. The method of claim 1 , wherein the sequence comprises a rule type.
4. The method of claim 1 , wherein the sequence comprises a rule body.
5. The method of claim 1 , wherein the sequence comprises a rule restrictor.
6. The method of claim 1 , wherein the sequence comprises the rule restrictor includes an extended qualifier.
7. The method of claim 1 , wherein a rule can be written in longhand form.
8. The method of claim 1 , wherein a rule can be written with wildcard characters.
9. The method of claim 2 , wherein the expressed trait comprises a rule.
10. The method of claim 2 , wherein the expressed trait comprises a weight.
11. The method of claim 2 , wherein the expressed trait comprises a trait code.
12. The method of claim 2 , wherein the expressed trait comprises a description.
13. The method of claim 2 , wherein the expressed trait comprises a control code that sets an expression mode or a match definition mode.
14. An apparatus for classifying a data object, comprising:
a processor; and
a sequencing engine that is executable by the processor, wherein the sequencing engine scans the data object, evaluates contents of the data object based on at least one selected rule, generates a sequence that classifies at least some contents of the data object, and stores the sequence as a single digital file in a selected target memory,
wherein the sequencing engine further performs a discrete weight decay algorithm that assigns a given weight value for a rule and permits additional values to have a progressively lesser effect on a summed weight value if those additional values are received for a given weight value for the rule.
15. The apparatus of claim 14 , wherein the sequence comprises at least one expressed trait with reference to the data object.
16. The apparatus of claim 14 , wherein the sequence comprises a rule type.
17. The apparatus of claim 14 , wherein the sequence comprises a rule body.
18. The apparatus of claim 14 , wherein the sequence comprises a rule restrictor.
19. The apparatus of claim 14 , wherein the sequence comprises the rule restrictor includes an extended qualifier.
20. The apparatus of claim 14 , wherein a rule can be written in longhand form.
21. The apparatus of claim 14 , wherein a rule can be written with wildcard characters.
22. The apparatus of claim 15 , wherein the expressed trait comprises a rule.
23. The apparatus of claim 15 , wherein the expressed trait comprises a weight.
24. The apparatus of claim 15 , wherein the expressed trait comprises a trait code.
25. The apparatus of claim 15 , wherein the expressed trait comprises a description.
26. The apparatus of claim 15 , wherein the expressed trait comprises a control code that sets an expression mode or a match definition mode.
27. An apparatus for classifying a data object, configured to implement the following steps:
scanning the data object using a processor;
evaluating contents of the data object based on at least one selected rule;
generating a sequence that classifies at least some contents of the data object; and
storing the sequence as a single digital file in a selected target memory,
further comprising a discrete weight decay algorithm comprising: assigning a given weight value for a rule; and if additional values are received for the given weight value for the rule, then permitting those additional values to have a progressively lesser effect on a summed weight value.
28. An article of manufacture comprising:
a machine-readable medium having stored thereon instructions to:
scan a data object;
evaluate contents of the data object based on at least one selected rule;
generate a sequence that classifies at least some contents of the data object; and
storing the sequence as a single digital file in a selected target memory,
further comprising a discrete weight decay algorithm comprising: assigning a given weight value for a rule; and if additional values are received for the given weight value for the rule, then permitting those additional values to have a progressively lesser effect on a summed weight value.