Results 11 to 20 of about 161,462 (303)
Bayesian Belief Network untuk Menghasilkan Fuzzy Association Rules
Jurnal Teknik Industri, 2010 Bayesian Belief Network (BBN), one of the data mining classification methods, is used in this research for mining and analyzing medical track record from a relational data table.
Rolly Intan +2 more
doaj +2 more sources
Journal on spesial topics in mobile networks and applications, 2021 The multi-dimensional characteristics of public opinion in online education lead to the difficulty of data cross-dimensional mining. To solve this problem, this paper designs a cross-dimensional data mining model of public opinion in online education ...
Li-xuan Li, Ying Huo, J. Lin
semanticscholar +1 more source
Fuzzy Meta-Association Rules [PDF]
Advances in Intelligent Systems Research, 2015 Association rules is a useful tool to extract new information from raw data expressed in a comprehensive way for decision makers. However, in some applications raw data might not be available for several reasons. First, stream data are only temporarily available for their processing or if it is stored, only summaries or representations of the extracted
Miguel Delgado +4 more
openaire +1 more source
Fuzzy Association Rule Mining [PDF]
Journal of Computer Science, 2015 The paper attempts to propose a fuzzy logic association algorithm to predict the risks involved in identifying diseases like breast cancer. Fuzzy logic algorithm is used to find association rules. The results of the study revealed that the prediction is better reliable than conventional methods.
A. Lekha, C. V. Srikrishna, Viji Vinod
openaire +1 more source
Data Mining Using Association Rules for Intuitionistic Fuzzy Data
Information, 2023 This paper considers approaches to the computation of association rules for intuitionistic fuzzy data. Association rules can provide guidance for assessing the significant relationships that can be determined while analyzing data.
Frederick Petry, Ronald Yager
doaj +1 more source
Risk assessment of data asset management based on fuzzy hierarchy method and association rules [PDF]
SHS Web of Conferences, 2023 In the current data asset management risk assessment, the processing of assessment indicators is relatively simple, which leads to large errors in the assessment results.
Chen Shuguo +3 more
doaj +1 more source
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
Neutrosophic Fuzzy Association Rule Generation-Based Big Data Mining Analysis Algorithm
International Transactions on Electrical Energy Systems, 2022 As a very common and classic big data (BD) mining algorithm, the association rule data mining (DM) algorithm is often used to determine the internal correlation between different items and set a certain threshold to determine the size of the correlation.
Qunfeng Wei, Bin Qi
doaj +1 more source
Building an Associative Classifier Based on Fuzzy Association Rules [PDF]
International Journal of Computational Intelligence Systems, 2008 Classification based on association rules is considered to be effective and advantageous in many cases. However, there is a so-called "sharp boundary" problem in association rules mining with quantitative attribute domains.
Zuoliang Chen, Guoqing Chen
doaj +1 more source
Journal of Physics: Conference Series, 2020 In order to monitor the operation status of distribution network in real time and ensure the security and stability of distribution internet of things, a fault monitoring method based on fuzzy association rule mining was proposed. Fuzzy association rules
Wei Zhang +5 more
semanticscholar +1 more source