In computer science, frequent subtree mining is the problem of finding all patterns in a given database whose support (a metric related to its number of occurrences in other subtrees) is over a given threshold.[1] It is a more general form of the maximum agreement subtree problem.[2]
^Chi, Yun; Muntz, Richard R.; Nijssen, Siegfried; Kok, Joost N. (28 June 2005). "Frequent Subtree Mining - An Overview". Fundamenta Informaticae. 66: 161–198. S2CID 14827585.
^Deepak, Akshay; Fernández-Baca, David; Tirthapura, Srikanta; Sanderson, Michael J.; McMahon, Michelle M. (July 2013). "EvoMiner: frequent subtree mining in phylogenetic databases". Knowledge and Information Systems. 41 (3): 559–590. doi:10.1007/s10115-013-0676-0. S2CID 254145982.
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extension of subgraph isomorphism known as graph mining is also of interest in that area. Frequentsubtreemining Induced subgraph isomorphism problem Maximum...
each pattern appear frequently in the data. Approximate Frequent Itemset mining is a relaxed version of Frequent Itemset mining that allows some of the...
sophisticated, containing multiple optional subtrees, used for representing special case data. Frequently around 90% of a schema is concerned with the...
information about local high-variation regions that appear across multiple subtrees. Despite potential problems, distance methods are extremely fast, and they...
algorithm either learns that the vertex is the target, or otherwise which subtree the target would be located in. However, this can be further generalized...
2014. Perera, R., Nand, P. and Naeem, A. 2017. Utilizing typed dependency subtree patterns for answer sentence generation in question answering systems....
tree represents a prefix of the stored strings. All strings in the middle subtree of a node start with that prefix. Inserting a value into a ternary search...
(ADT) that simulates a hierarchical tree structure, with a root value and subtrees of children with a parent node, represented as a set of linked nodes. type...
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