Dec 18, 2013 · We present a new data mining problem to discover frequent agreement subtree patterns from a database of rooted phylogenetic trees.
Abstract. We present a new data mining problem to discover fre- quent agreement subtree patterns from a database of rooted phylogenetic trees.
We present a new data mining problem to discover frequent agreement subtree patterns from a database of rooted phylogenetic trees. This problem is a natural ...
We then show how to efficiently discover all frequent agreement subtrees from a given set of phylogenetic trees, through an Apriori-like data mining approach.
Nov 7, 2014 · FST mining generalizes the well-known maximum agreement subtree problem. Here we present EvoMiner, a new algorithm for mining frequent subtrees ...
The problem of mining collections of trees to identify common patterns, called frequent subtrees (FSTs), arises often when trying to interpret the results ...
We study a new data mining problem concerning the discovery of frequent agreement subtrees (FASTs) from a set of phylogenetic trees. A phylogenetic tree ...
[PDF] EvoMiner: frequent subtree mining in phylogenetic databases ...
www.semanticscholar.org › paper
EvoMiner is an Apriori-like levelwise method, which uses a novel phylogeny-specific constant-time candidate generation scheme, an efficient ...
People also ask
What is mining association rules in large databases in data mining?
What is the maximum agreement subtree problem?
[PDF] Discovering Frequent Agreement Subtrees from Phylogenetic Data
web.njit.edu › ~wangj › tkde2008
Abstract—We study a new data mining problem concerning the discovery of frequent agreement subtrees (FASTs) from a set of phylogenetic trees.
We study a new data mining problem concerning the discovery of frequent agreement subtrees (FASTs) from a set of phylogenetic trees. A phylogenetic tree ...
Evaluate the players in the Process Mining space in the latest Gartner® Magic Quadrant™. See why UiPath have been recognized by Gartner® as a Leader in 2024 Process Mining report.