Graph Classification Using Evolutionary Computation Ning Jin Calvin Young Wei Wang University of North Carolina University of North Carolina University of North Carolina / Chapel Hill / Chapel Hill Chapel Hill / /
IndustryTerm
generic search process / evolutionary search process / local optimal solutions / In previous subgraph pattern mining algorithms / generation algorithm / search process / heuristic search / scientific applications / chemical compound datasets / balanced chemical datasets / parallel computing / frequency descending mining / near-optimal solutions / frequent subgraph mining / graph classification applications / data mining / chemical compounds / chemical dataset / recent frequent subgraph mining algorithm / evolutionary algorithms / chemical datasets / exhaustive search / subgraph mining / chemical compound classification / parallel computing resources / discriminative pattern mining / chemical toxicity / chemical compound structures / discriminative subgraph mining / near-optimal solution / unbalanced chemical datasets / chemical bond / subgraph pattern mining algorithm / mathematical tool / subgraph mining algorithms / mining / straightforward solution / evolutionary search / discriminative subgraph pattern mining / search space / recent algorithms / discriminative subgraph pattern mining algorithms / subgraph pattern mining algorithms / /
NaturalFeature
Chapel Hill / /
OperatingSystem
Linux / Ubuntu / /
Organization
University of North Carolina University / /
Person
Jin Calvin Young Wei / /
Position
classification model for distinguishing them / evaluation and selection General / VP 39 88854 Protein kinases / Minimum Description Length model in information theory / representative / /
GAIA: Graph Classification Using Evolutionary Computation Ning Jin Calvin Young