Searching For High Support Itemsets In Itemset Trees

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Searching for high-support itemsets in itemset trees

    https://dl.acm.org/citation.cfm?id=1239085
    Searching for high-support itemsets in itemset trees: Yu Li, Miroslav Kubat: Pages: 105-120Cited by: 11

Searching for high-support itemsets in itemset trees - IOS ...

    https://content.iospress.com/articles/intelligent-data-analysis/ida00239
    Searching for high-support itemsets in itemset trees - IOS Press One of the goals of Association Mining is to develop algorithms capable of finding frequently co-occurring groups of items (“itemsets”) in transaction databases. The recently published technique of Itemset Trees …Cited by: 11

Searching for high-support itemsets in itemset trees ...

    https://www.deepdyve.com/lp/ios-press/searching-for-high-support-itemsets-in-itemset-trees-9Wk7kyIx9S
    Jan 01, 2006 · Searching for high-support itemsets in itemset trees The recently published technique of Itemset Trees expedited the processing of so-called "targeted queries" where the user is interested only in itemsets that contain certain prespecified items.

Parallelizing the Itemset Tree Data Structure

    https://userweb.ucs.louisiana.edu/~vvr3254/CMPS561/projects/Jennifer_Parallel.pdf
    – Run parallel search algorithm on multiple trees – Combine results of the parallel • Possibly use a modiGied support calculation and min-sup threshold based upon the number of subtrees and the overall support of each subtree. – support = count (itemset in subtree)/total in main tree

Mining Frequent Itemsets by using Binary Search Tree Approach

    https://www.ijcaonline.org/volume27/number5/pxc3874502.pdf
    The binary search tree is built by considering the 1 – itemset, 2 – itemsets, 3 – itemsets and more than 3 – itemsets. The starting node is constructed and later on if the next node occurrence is more than the root node then it will be arranged on the right side of the root node.

Min-Max Itemset Trees for Dense and Categorical Datasets ...

    https://www.researchgate.net/publication/233906129_Min-Max_Itemset_Trees_for_Dense_and_Categorical_Datasets
    Min-Max Itemset Trees for Dense and Categorical Datasets. ... Searching for high-support itemsets in itemset trees. Article. ... The proposed algorithm also reduces the frequent itemsets search ...

TRARM-RelSup: Targeted Rare Association Rule Mining Using ...

    https://link.springer.com/chapter/10.1007/978-3-642-34624-8_7
    TRARM-RelSup: Targeted Rare Association Rule Mining Using Itemset Trees and the Relative Support Measure ... Y., Kubat, M.: Searching for high-support itemsets in itemset trees. Intell. Data Anal., 105 ... TRARM-RelSup: Targeted Rare Association Rule Mining Using Itemset Trees and the Relative Support Measure. In: Chen L., Felfernig A., Liu J ...Cited by: 9

Min-Max Itemset Trees for Dense and Categorical Datasets ...

    https://link.springer.com/chapter/10.1007/978-3-642-34624-8_6
    In this paper, we propose two enhancements to the original unordered itemset trees. The first enhancement consists of sorting all nodes in lexical order based upon the itemsets they contain. In the second enhancement, called the Min-Max Itemset Tree, each node was augmented with minimum and maximum values that represent the range of itemsets ...Cited by: 5

Fast algorithms for frequent itemset mining using FP-trees ...

    https://ieeexplore.ieee.org/document/1501819/
    Aug 29, 2005 · In this paper, we present a novel FP-array technique that greatly reduces the need to traverse FP-trees, thus obtaining significantly improved performance for FP-tree-based algorithms. Our technique works especially well for sparse data sets. Furthermore, we present new algorithms for mining all, maximal, and closed frequent itemsets.Cited by: 588



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