A survey of evolutionary computation for association rule mining

A Telikani, AH Gandomi, A Shahbahrami - Information Sciences, 2020 - Elsevier
… ARM approaches including numerical rules, fuzzy rules, high-utility itemsets, class association
rules, and rare association rules. … using a fitness function in order to select individuals for …

A novel hybrid GA–PSO framework for mining quantitative association rules

F Moslehi, A Haeri, F Martínez-Álvarez - soft computing, 2020 - Springer
… GA method, which is widely applied on mining association rule… , and modified through
mutation in order to generate a new … Step 5: The GA and PSO outputs are combined in order to …

An improved random forest-based rule extraction method for breast cancer diagnosis

S Wang, Y Wang, D Wang, Y Yin, Y Wang, Y Jin - Applied Soft Computing, 2020 - Elsevier
Association rule extraction algorithm has also been popularly utilized for breast cancer
diagnosis. Gao et al. [32] proposed an association rules … non-dominated sorting method and the …

Association rule mining on market basket dataset using Apriori algorithm

K Salgotra, A Tiwari, D Singhal, A Singh - AIP Conference Proceedings, 2024 - pubs.aip.org
… (General Rule Induction) algorithm to establish association rulesassociation rules that
represent the possibility of buying one item along with another includes Association Rule Mining […

An intelligent system based on optimized ANFIS and association rules for power transformer fault diagnosis

L Tightiz, MA Nasab, H Yang, A Addeh - ISA transactions, 2020 - Elsevier
method, we used ARLT as the attribute selection approach. The ARLT is a rule-based machine
learning method … proposed method, ANFIS is formed by using BWOA in order to classify

Scalable Action Mining Hybrid Method for Enhanced User Emotions in Education and Business Domain

S Chatterjee, AA Tzacheva, Z Ras - International Journal on …, 2024 - ijcionline.com
Association Rules and Decision are the few fragments of rule-based methods that actually
generates rules to associate patterns and classifyAssociation Action Rules [40] in order to …

LoRMIkA: Local rule-based model interpretability with k-optimal associations

D Rajapaksha, C Bergmeir, W Buntine - Information Sciences, 2020 - Elsevier
… We propose a novel approach based on class association rules to generate local rule-…
on the most predictive rules is the inability to uncover higher-order associations, which are …

IoMT-based computational approach for detecting brain tumor

SR Khan, M Sikandar, A Almogren, IU Din… - Future Generation …, 2020 - Elsevier
organization (WHO). However, in this study we adopted a novel computational method, ie,
PART — an association rule … In order to show the robustness of PART, we compare it with …

A review on classification of imbalanced data for wireless sensor networks

H Patel, D Singh Rajput… - International …, 2020 - journals.sagepub.com
Classification based on Association Rules (PCAR) to classifymethod, scoring procedure
and rule sorting index of CBA to achieve such purpose. Another associative classification

Review on the application of machine learning algorithms in the sequence data mining of DNA

A Yang, W Zhang, J Wang, K Yang, Y Han… - … in Bioengineering and …, 2020 - frontiersin.org
… Base order contributes to the diversity of DNA molecules. … Association rule mining not only
plays an important role in … uses a guided method to mine association rules between data …