Results 41 to 50 of about 400,771 (185)

Privacy-preserving mining of association rules based on paillier encryption algorithm

open access: yes网络与信息安全学报, 2016
In privacy preserving association rule mining, the precision and security of mining are always a pair of contradictions. A method of privacy-preserving mining of association rules based on paillier encryption algorithm over distributed databases was ...
Huan XING,Lin ZHANG
doaj   +3 more sources

Introducing an algorithm for use to hide sensitive association rules through perturb technique [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining, 2016
Due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. Association Rules Mining is one of the data mining techniques to extract useful patterns in the form of association rules.
M. Sakenian Dehkordi, M. Naderi Dehkordi
doaj   +1 more source

Penerapan Algoritma Eclat untuk Menemukan Pola Asosiasi Antar Barang di Aneka Sandang Collection

open access: yesJRST: Jurnal Riset Sains dan Teknologi, 2023
Aneka Sandang Collection merupakan usaha yang menjual berbagai macam pakaian. Pencatatan transaksi masih dilakukan secara manual yang mengakibatkan banyaknya tumupukan nota transaksi. Kendala lain dalam mencari barang karena toko terbagi menjadi beberapa
Lisna Zahrotun, Al Fath Imam Robbani
doaj   +1 more source

DATA MINING IN RELATIONAL SYSTEMS

open access: yesСучасний стан наукових досліджень та технологій в промисловості, 2020
The subject of the research is methods of relational database mining. The purpose of the research is to develop scientifically grounded models for supporting intelligent technologies for integrating and managing information resources of distributed ...
Valentin Filatov   +2 more
doaj   +1 more source

Efficient Incremental Breadth-Depth XML Event Mining

open access: yes, 2011
Many applications log a large amount of events continuously. Extracting interesting knowledge from logged events is an emerging active research area in data mining.
Boussaïd, Omar   +2 more
core   +2 more sources

Fuzzy Association Rule Mining [PDF]

open access: yesJournal 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

Dynamic Parallel Mining Algorithm of Association Rules Based on Interval Concept Lattice

open access: yesMathematics, 2019
An interval concept lattice is an expansion form of a classical concept lattice and a rough concept lattice. It is a conceptual hierarchy consisting of a set of objects with a certain number or proportion of intent attributes.
Yafeng Yang, Ru Zhang, Baoxiang Liu
doaj   +1 more source

Filtered-ARN: Asymmetric objective measures applied to filter Association Rules Networks

open access: yesCLEI Electronic Journal, 2019
In this paper, the Filtered-Association Rules Network (Filtered-ARN) is presented to structure, prune, and analyze a set of association rules in order to construct candidate hypotheses. The Filtered-ARN algorithm selects association rules with the use of
DARIO BRITO CALÇADA   +1 more
doaj   +1 more source

SCARF: a biomedical association rule finding webserver

open access: yesJournal of Integrative Bioinformatics, 2022
The analysis of enormous datasets with missing data entries is a standard task in biological and medical data processing. Large-scale, multi-institution clinical studies are the typical examples of such datasets.
Szalkai Balázs, Grolmusz Vince
doaj   +1 more source

Particle Swarm Optimization-Based Association Rule Mining in Big Data Environment

open access: yesIEEE Access, 2019
With the explosive growth of information data in today's society, the continuous accumulation and increase of data in recent years make it difficult to extract useful information from it, so data mining comes into being.
Tong Su, Haitao Xu, Xianwei Zhou
doaj   +1 more source

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