An Improved Algorithm for Mining Correlation Item Pairs
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This article is published in Cmc-computers Materials & Continua.The article was published on 2020-01-01 and is currently open access. It has received 2 citations till now.read more
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An Incremental Interesting Maximal Frequent Itemset Mining Based on FP-Growth Algorithm
TL;DR: An incremental maximal frequent itemset mining algorithms that integrate subjective interestingness criterion during the process of mining and performs dynamic and early pruning to leave uninteresting frequent itemsets in order to avoid uninteresting rule generation is proposed.
Journal ArticleDOI
Urban Cultural Industry Management System and Public Economic Based on Improved Algorithm
TL;DR: In this article , the improved particle swarm algorithm and the SOM algorithm were applied to evaluate the regional economy of a city and the experimental results showed that the contribution rate of the economic evaluation level of the eight economic evaluation indicators to the economic development level of each county (district and city) in the city was different.
References
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Proceedings ArticleDOI
Mining Web Access Sequence with Improved Apriori Algorithm
TL;DR: The AC-Apriori algorithm reduces the times scanning the transaction database while preserving the full mining effect, which reduces the runtime and improves the mining efficiency compared with the Apriori algorithms.
Proceedings ArticleDOI
Relevant association rule mining from medical dataset using new irrelevant rule elimination technique
TL;DR: This paper proposes the n-cross validation technique to reduce association rules which are irrelevant to the transaction set and produces new set of rules with high confidence to mine medical relevant rule mining.
Proceedings ArticleDOI
Mining frequent patterns with multiple minimum supports using basic Apriori
Tiantian Xu,Xiangjun Dong +1 more
TL;DR: An algorithm, named MSB_apriori, is proposed, which uses basic Apriori to solve the mining of frequent patterns with multiple minimum supports problem, and experimental results on real-life datasets show that the MSB-APriori+ is much more efficient than MSB _aprioru and close to MSaprioro.
Journal ArticleDOI
Inferring Intra-Community Microbial Interaction Patterns from Metagenomic Datasets Using Associative Rule Mining Techniques.
TL;DR: The efficiency/utility of this rule mining approach in deciphering multiple (biologically meaningful) association patterns between 'subsets/subgroups' of microbes (constituting microbiome samples) is demonstrated.
Journal ArticleDOI
A mutual-information-based mining method for marine abnormal association rules
TL;DR: This paper proposes a mutual-information-based quantitative association rule-mining algorithm (MIQarma) with mutual information to extract pair-wise related items and presents two case studies: one considers performance analysis and the other identifies marine abnormal association relationships.