Results 11 to 20 of about 17,882 (265)

Modified Genetic Algorithm and Association Rule Mining for the Retail Sector

Journal of Information Systems and Informatics, 2023
This paper concentrates on the optimization of elementary association rule mining. The basic approach of association rule mining generates the positive association rule but focusing on both positive and negative association rule mining to find out ...
Piyush Vyas, Aditya Nagdiya
doaj   +1 more source

Coverage-Based Classification Using Association Rule Mining

Applied Sciences, 2020
Building accurate and compact classifiers in real-world applications is one of the crucial tasks in data mining nowadays. In this paper, we propose a new method that can reduce the number of class association rules produced by classical class association
Jamolbek Mattiev, Branko Kavsek
doaj   +1 more source

Data on coding association rules from an inpatient administrative health data coded by International classification of disease - 10th revision (ICD-10) codes

Data in Brief, 2018
Data presented in this article relates to the research article entitled “Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data” (Peng et al.
Mingkai Peng, Vijaya Sundararajan, Tyler Williamson, Evan P. Minty, Tony C. Smith, Chelsea T.A. Doktorchik, Hude Quan   +6 more
doaj   +1 more source

Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach

Wasit Journal of Computer and Mathematics Science, 2023
The Apriori algorithm creates all possible association rules between items in the database using the Association Rule Mining and Apriori Algorithm. Using Ant Colony Optimization, a new algorithm is proposed for improving association rule mining results.
Roni La’biran, Muhammad Kristiawan
doaj   +1 more source

Automatic Finding Trapezoidal Membership Functions in Mining Fuzzy Association Rules Based on Learning Automata.

International Journal of Interactive Multimedia and Artificial Intelligence, 2022
Association rule mining is an important data mining technique used for discovering relationships among all data items. Membership functions have a significant impact on the outcome of the mining association rules.
Zohreh Anari, Abdolreza Hatamlou, Babak Anari   +2 more
doaj   +1 more source

NiaAutoARM: Automated Framework for Constructing and Evaluating Association Rule Mining Pipelines

Mathematics
Numerical Association Rule Mining (NARM), which simultaneously handles both numerical and categorical attributes, is a powerful approach for uncovering meaningful associations in heterogeneous datasets.
Uroš Mlakar, Iztok Fister, Iztok Fister
doaj   +1 more source

A GENERAL SURVEY ON FREQUENT PATTERN MINING USING GENETIC ALGORITHM [PDF]

ICTACT Journal on Soft Computing, 2012
In recent years, data mining is an important aspect for generating association rules among the large number of itemsets. Association rule mining is one of the techniques in data mining that that has two sub processes. First, the process called as finding
K. Poornamala, R. Lawrance
doaj  

Associative Classifier Coupled With Unsupervised Feature Reduction for Dengue Fever Classification Using Gene Expression Data

IEEE Access, 2022
Recent studies have established the potential of classifiers designed using association rule mining methods. The current study proposes such an associative classifier to efficiently detect dengue fever using gene expression data. Labelled gene expression
Diptaraj Sen, Saubhik Paladhi, Jaroslav Frnda, Sankhadeep Chatterjee, Soumen Banerjee, Jan Nedoma   +5 more
doaj   +1 more source

Online association rule mining [PDF]

Proceedings of the 1999 ACM SIGMOD international conference on Management of data, 1999
We present a novel algorithm to compute large itemsets online. The user is free to change the support threshold any time during the first scan of the transaction sequence. The algorithm maintains a superset of all large itemsets and for each itemset a shrinking, deterministic interval on its support.
openaire   +1 more source

Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer

FEBS Open Bio, EarlyView.
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui, Taobo Hu, Thomson Christian Husein, Wai Hei Shek, Bingrong Chen, Depeng Wang, Shu Wang, Weichuan Yu, Xiaodan Fan, Mengping Long, Toyotaka Ishibashi   +10 more
wiley   +1 more source