Searching for "Correction to "Mining Closed and Maximal Frequent Subtrees from Databases of Labeled Rooted Trees"." – sorted by Relevance.
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Mining Closed and Maximal Frequent Subtrees from Databases of Labeled Rooted Trees
- subtrees. CHI ET AL.: MINING CLOSED AND MAXIMAL FREQUENT SUBTREES FROM DATABASES OF LABELED ROOTED TREES 3
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Mining closed and maximal frequent subtrees from databases of labeled rooted trees
- for mining closed and maximal frequent subtrees from databases of labeled rooted ordered trees. In Section 4
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CMTreeMiner: Mining Both Closed and Maximal Frequent Subtrees
- Miner algorithm that mines both closed and maximal frequent subtrees from a database of labeled rooted unordered
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Frequent Subtree Mining - An Overview
- , Leiden, The Netherlands joost@(email omitted); Abstract. Mining frequent subtrees from databases of labeled trees
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Canonical Forms for Labeled Trees and Their Applications in Frequent Subtree Mining
- , FreeTreeMiner, for mining frequent subtrees in a database of labeled free trees. This algorithm
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Mining Adaptively Frequent Closed Unlabeled Rooted Trees in Data Streams
- Mining Adaptively Frequent Closed Unlabeled Rooted Trees in Data Streams Albert Bifet Ricard
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Approximate labelled subtree homeomorphism
- and T , respectively. We also give an O(mn) algorithm for rooted ordered trees. 1 Introduction The matching of labelled
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Mining Frequent Rooted Trees and Free Trees Using Canonical Forms
- subtrees in a database of rooted unordered trees. The algorithm mines frequent subtrees by traversing
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Discovering Frequent Agreement Subtrees from Phylogenetic Data
- tree mining algorithm, called Phylominer [36], to find all frequent agreement subtrees (FASTs) from a
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Efficiently mining maximal frequent itemsets
- , there has been recent interest in mining maximal frequent patterns in these ”hard” dense databases. Another
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