Results 11 to 20 of about 5,285 (267)
Optimizing Membership Functions using Learning Automata for Fuzzy Association Rule Mining [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 The Transactions in web data often consist of quantitative data, suggesting that fuzzy set theory can be used to represent such data. The time spent by users on each web page is one type of web data, was regarded as a trapezoidal membership function (TMF)
Z. Anari +3 more
doaj +1 more source
Incremental Fuzzy Association Rule Mining for Classification and Regression
IEEE Access, 2019 The aim of mining fuzzy association rules is to find both the association and the casual relationships between the itemsets. With the arrival of dynamic data, the fuzzy association rules should be updated in real time.
Ling Wang, Qian Ma, Jianyao Meng
doaj +1 more source
A Recommendation System in E-Commerce with Profit-Support Fuzzy Association Rule Mining (P-FARM)
Journal of Theoretical and Applied Electronic Commerce Research, 2023 E-commerce is snowballing with advancements in technology, and as a result, understanding complex transactional data has become increasingly important. To keep customers engaged, e-commerce systems need to have practical product recommendations.
Onur Dogan
doaj +1 more source
Research on Fuzzy Temporal Event Association Mining Model and Algorithm
Axioms, 2023 As traditional models and algorithms are less effective in dealing with complex and irregular temporal data streams, this work proposed a fuzzy temporal association model as well as an algorithm. The core idea is to granulate and fuzzify information from
Aihua Zhu, Zhiqing Meng, Rui Shen
doaj +1 more source
Incremental maintenance of discovered fuzzy association rules
Fuzzy Optimization and Decision Making, 2021 Fuzzy association rules (FARs) are a recognized model to study existing relations among data, commonly stored in data repositories. In real-world applications, transactions are continuously processed with upcoming new data, rendering the discovered rules information inexact or obsolete in a short time.
Alain Pérez-Alonso +3 more
openaire +2 more sources
An Adaptive Approach to Quantify Plant Features by Using Association Rule-Based Similarity
IEEE Access, 2019 In elementary school, the first step to learning about plants is observing plant features. In this study, we developed a plant search system that allows users to do a search even when they do not know the plant name simply by observing plant ...
Shu-Chen Cheng, Yu-Ping Cheng
doaj +1 more source
International Islamic University Malaysia Engineering Journal, 2019 Higher education has great potential in producing new startups in the IT (Information Technology) field. Many choices influence students to become IT- entrepreneurs.
Endang Supriyati +2 more
doaj +1 more source
Quality measures for fuzzy predicates in conjunctive and disjunctive normal forms
Ingeniería e Investigación, 2014 Association rule mining is a very popular data mining technique. Rules in this technique are often used to identify and represent de-pendencies between attributes in databases.
Taymi Ceruto Cordovés +2 more
doaj +1 more source
JUTI: Jurnal Ilmiah Teknologi Informasi, 2015 Pertumbuhan dunia digital dalam dokumen tekstual terutama di World Wide Web mengalami pertumbuhan pesat. Pen-ingkatan dokumen tekstual ini menyebabkan terjadinya penumpukan informasi, sehingga diperlukan sebuah pengorgan-isasian yang efisien untuk ...
Fahrur Rozi +2 more
doaj +1 more source
Fire, 2023 Targeting the challenges in the risk analysis of laboratory fire accidents, particularly considering fire accidents in Chinese universities, an integrated approach is proposed with the combination of association rule learning, a Bayesian network (BN ...
Fuqiang Yang +3 more
doaj +1 more source