KADABRA is an ADaptive Algorithm for Betweenness via Random Approximation.
Michele BorassiEmanuele NatalePublished in: ACM J. Exp. Algorithmics (2019)
Keyphrases
- detection algorithm
- experimental evaluation
- np hard
- cost function
- approximation ratio
- computational cost
- dynamic programming
- probabilistic model
- search space
- computational complexity
- segmentation algorithm
- theoretical analysis
- closed form
- convex hull
- approximation algorithms
- randomly generated
- single pass
- high accuracy
- learning algorithm
- decision trees
- evolutionary algorithm
- objective function
- k means
- monte carlo
- neural network
- feature selection
- improved algorithm
- error bounds
- similarity measure
- times faster
- matching algorithm
- optimal solution
- optimization algorithm
- preprocessing
- computationally efficient
- particle swarm optimization
- input data
- rough sets
- data sets
- worst case