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Mining Frequent Itemsets from Multidimensional Databases

2011
Mining frequent itemsets (FIs) has been developing in recent years. However, little attention has been paid to efficient methods for mining in multidimensional databases. In this paper, we propose a new method with a supporting structure called AIO-tree (Attributes Itemset Object identifications - tree) for mining FIs from multidimensional databases ...
Bay Vo, Bac Le, Thang N. Nguyen
openaire   +1 more source

Frequent Itemset Mining with Parallel RDBMS

2005
Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind specialized implementation. We investigate approaches based on SQL for the problem of finding frequent patterns from a transaction table, including an algorithm that we ...
Xuequn Shang, Kai-Uwe Sattler
openaire   +1 more source

Frequent Itemset Mining

2008
Shashi Shekhar, Hui Xiong
openaire   +1 more source

Frequent Closed Informative Itemset Mining

2007 International Conference on Computational Intelligence and Security (CIS 2007), 2007
Huaiguo Fu   +2 more
openaire   +1 more source

Toward Practical Privacy-Preserving Frequent Itemset Mining on Encrypted Cloud Data

IEEE Transactions on Cloud Computing, 2020
Shuo Qiu, Boyang Wang, Ming Li
exaly  

Frequent itemset mining: A 25 years review

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2019
Jose Maria Luna   +2 more
exaly  

Parallel frequent itemset mining using systolic arrays

Knowledge-Based Systems, 2013
Ahmad Abdollahzadeh Barforoush
exaly  

GMiner: A fast GPU-based frequent itemset mining method for large-scale data

Information Sciences, 2018
Kang-Wook Chon, Min-Soo Kim
exaly  

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