Based on recent advances in parameterized complexity theory, we propose a novel miner for rooted trees in networks. The miner, for a fixed parameter k (maximal ...
Jun 15, 2013 · We propose a novel miner for rooted trees in networks. The miner, for a fixed parameter (maximal pattern size), can mine all rooted trees with delay.
Abstract. Mining frequent patterns in a single network (graph) poses a number of challenges. Already only to match one path pattern to a.
Based on recent advances in parameterized complexity theory, we propose a novel miner for rooted trees in networks. The miner, for a fixed parameter k (maximal ...
Nearly exact mining of frequent trees in large networks. Author: Kibriya ... This allows us to mine tractably, rooted trees, in large networks such as the WWW or ...
Nearly exact mining of frequent trees in large networks. https://doi.org/10.1007/s10618-013-0321-2 ·. Journal: Data Mining and Knowledge Discovery, 2013, № 3, p ...
Nearly Exact Mining of Frequent Trees in Large Networks. https://doi.org ... Mining closed and maximal frequent subtrees from databases of labeled rooted trees.
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Mining frequent patterns in a single network (graph) poses a number of challenges. Already only to match one path pattern to a network under subgraph ...
In this dissertation,we investigate two key problems in graph mining: frequent pattern mining andbetweenness centrality computation.Existing algorithms for ...
ABSTRACT. Mining frequent trees is very useful in domains like bioinfor- matics, web mining, mining semi-structured data, and so on.
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