Abstract | ||
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In this paper, we propose a new model-sensitive search plan generation algorithm to speed up the process of graph pattern matching. This dynamic programming based algorithm, which is able to handle general n-ary constraints in an integrated manner, collects statistical data from the underlying EMF model, and uses this information for optimization purposes. Additionally, runtime performance measurements have been carried out to quantitatively evaluate the effects of the search plan generation algorithm on the pattern matching engine. |
Year | DOI | Venue |
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2012 | 10.1007/978-3-642-30476-7_15 | ICMT |
Keywords | Field | DocType |
integrated manner,statistical data,general n-ary constraint,new model-sensitive search plan,search plan generation algorithm,runtime performance measurement,generation algorithm,emf model,dynamic programming,graph pattern matching,optimization purpose | Dynamic programming,Data mining,Graph pattern matching,Search algorithm,Computer science,Beam search,Algorithm,Binary search algorithm,Pattern matching,Best-first search,Speedup | Conference |
Citations | PageRank | References |
10 | 0.67 | 11 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gergely Varró | 1 | 403 | 36.67 |
Frederik Deckwerth | 2 | 42 | 3.70 |
Martin Wieber | 3 | 21 | 1.84 |
Andy Schürr | 4 | 2195 | 230.25 |