Improved and self-tuned occurrence heuristics
Copyright policy )Improved and self-tuned occurrence heuristics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
- University of Catania Italy
Experimental algorithms; Frequency of characters; Occurrence heuristics; String matching; Text-processing, Tuned-search approach, string matching, occurrence heuristics, experimental algorithms, Experimental algorithms; Frequency of characters; Occurrence heuristics; String matching; Text-processing; Tuned-search, Algorithms on strings, tuned-search approach, text-processing, frequency of characters
Experimental algorithms; Frequency of characters; Occurrence heuristics; String matching; Text-processing, Tuned-search approach, string matching, occurrence heuristics, experimental algorithms, Experimental algorithms; Frequency of characters; Occurrence heuristics; String matching; Text-processing; Tuned-search, Algorithms on strings, tuned-search approach, text-processing, frequency of characters
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!