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Combinatorial Pattern Discovery for Scientific Data: Some Preliminary Results

Summary: Combinatorial pattern discovery for structural data using string edit distance with variable-length don't cares. Protein databases illustrate effective, generalizable patterns from novel heuristics that complement top protein classifiers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2719
Venue
SIGMOD
Year
1994
Pagerank
0.00012009649
Overall Rank
1,433 | 90.04%
DOI
-

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