Mining frequent itemsets a perspective from operations research [PDF]
Many papers on frequent itemsets have been published. Besides somecontests in this field were held. In the majority of the papers the focus ison speed. Ad hoc algorithms and datastructures were introduced.
Kosters, W.A., Pijls, W.H.L.M.
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Health &Social Care in the Community, Volume 2026, Issue 1, 2026.Background Middle‐aged and older adults with severe mental illness (SMI) often experience a higher burden of multiple chronic conditions compared with the general population. Despite this, limited research has explored how these conditions cluster and interact, particularly in social settings where integrated mental and physical healthcare remains ...
Yue-Hui Yu, Ya-Xuan Mao, Quan Lu
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Identifying the Focus Word in Natural Language Questions Based on Association Rules
International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.Knowledge base‐based intelligent question‐answering systems have insufficient understanding of the questions. In the early stages of research, it is effective in most cases that the existing natural language question‐understanding methods can answer questions by connecting entities and relationships when ignoring the identification of focus words ...
Xin Hu +5 more
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arules - A Computational Environment for Mining Association Rules and Frequent Item Sets [PDF]
Mining frequent itemsets and association rules is a popular and well researched approach for discovering interesting relationships between variables in large databases.
Bettina Grün +2 more
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PERBANDINGAN PENCARIAN FREQUENT ITEMSET MENGGUNAKAN ALGORITMA CUT BOTH WAYS DAN ALGORITMA APRIORI COMPARISON OF FREQUENT ITEMSET GENERATION USING CUT BOTH WAYS ALGORITHM AND APRIORI ALGORITHM [PDF]
, 2006 ABSTRAKSI: Penggalian kaidah asosiasi (mining association rules) merupakan salah satu proses data mining untuk menemukan pola dan aturan (rule) dari sekumpulan data yang besar.
OYO SUKARYA
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Computational Intelligence, Volume 41, Issue 4, August 2025.ABSTRACT Machine learning techniques are increasingly used for high‐stakes decision‐making, such as college admissions, loan attribution, or recidivism prediction. Thus, it is crucial to ensure that the models learnt can be audited or understood by human users, do not create or reproduce discrimination or bias and do not leak sensitive information ...
Julien Ferry +4 more
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Mining frequent sequences using itemset-based extension [PDF]
, 2008 In this paper, we systematically explore an itemset-based extension approach for generating candidate sequence which contributes to a better and more straightforward search space traversal performance than traditional item-based extension approach. Based
Zhixin Ma (11225671) +3 more
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Research on Frequent Itemset Mining of Imaging Genetics GWAS in Alzheimer's Disease. [PDF]
Genes (Basel), 2022 Liang H +7 more
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Comparison of Candidate Itemset Generation and Non Candidate Itemset Generation Algorithms in Mining Frequent Patterns [PDF]
, 2017 Association rule mining is one of the important techniques of data mining used for exploring fruitful patterns from huge collection of data. Generally, the finding of frequent itemsets is the most significant step in association rules mining, and most of
, M.Sinthuja, N. Puviarasan, P. Aruna
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Dynamic Frequent Itemset Mining Based on Matrix Appriori Algorithm
, 2012 The frequent itemset mining algorithms discover the frequent itemsets from a database. When the database is updated, the frequent itemsets should be updated as well. However, running the frequent itemset mining algorithms with every update is inefficent.
Oğuz, Damla
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