Results 41 to 50 of about 1,488,653 (205)
MINING FREQUENT itemsets using advanced partition APPROACH [PDF]
, 2009 Frequent itemsets mining plays an important part in many data mining tasks. This technique has been used in numerous practical applications, including market basket analysis. This paper presents mining frequent itemsets in large database of medical sales
Khin Myat Myat Moe +3 more
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Incremental Updating Algorithm of Parallel Association Rule Based on MapReduce [PDF]
Jisuanji gongcheng, 2016 Under the environment of big data,the traditional association rule mining algorithms have lower efficiency caused by the rapidly increasing data.Aiming at the problem,this paper proposes a parallel incremental updating algorithm of association rules ...
CHENG Guang,WANG Xiaofeng
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Taxonomy-Based Pruning in Generalized Frequent Itemsets Mining [PDF]
, 2012 The original purpose of data mining is for analysis of supermarket transaction data. Now with the rapid development in business, industry and science, data mining is used in lots of domains, so mining interesting information from large database becomes ...
Ma, LinLin
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Generic Itemset Mining Based on Reinforcement Learning
IEEE Access, 2022 One of the biggest problems in itemset mining is the requirement of developing a data structure or algorithm, every time a user wants to extract a different type of itemsets.
Kazuma Fujioka, Kimiaki Shirahama
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New Improved Algorithm for Mining Privacy - Preserving Frequent Itemsets [PDF]
, 2020 Due to the increasing use of very large databases and data warehouses, mining useful information and helpful knowledge from transactions is evolving into an important research area.
Awasthy, Rashmi
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An association rule-based approach for frequent item mining of multi-stage access data
Discover ComputingThe processing of large-scale datasets is complex and requires high efficiency. The database needs to be scanned multiple times by traditional Apriori algorithms to generate candidate itemsets, resulting in significantly reduced efficiency, but also have
Silong Wu
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A primer to frequent itemset mining for bioinformatics [PDF]
Briefings in Bioinformatics, 2013 Over the past two decades, pattern mining techniques have become an integral part of many bioinformatics solutions. Frequent itemset mining is a popular group of pattern mining techniques designed to identify elements that frequently co-occur. An archetypical example is the identification of products that often end up together in the same shopping ...
Stefan Naulaerts +6 more
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Incremental Frequent Itemsets Mining With FCFP Tree
IEEE Access, 2019 Frequent itemsets mining (FIM) as well as other mining techniques has been being challenged by large scale and rapidly expanding datasets. To address this issue, we propose a solution for incremental frequent itemsets mining using a Full Compression ...
Jiaojiao Sun +3 more
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GPU-Accelerated Apriori Algorithm
ITM Web of Conferences, 2017 This paper propose a parallel Apriori algorithm based on GPU (GPUApriori) for frequent itemsets mining, and designs a storage structure using bit table (BIT) matrix to replace the traditional storage mode. In addition, parallel computing scheme on GPU is
Jiang Hao +3 more
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Frequent Itemset Mining and Association Rules [PDF]
, 2006 With the advent of mass storage devices, databases have become larger and larger. Point-of-sale data, patient medical data, scientific data, and credit card transactions are just a few sources of the ever-increasing amounts of data. These large datasets provide a rich source of useful information.
Imberman S., Tansel A.U.
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