Results 11 to 20 of about 237,412 (261)

Measuring Positive and Negative Association of Apriori Algorithm with Cosine Correlation Analysis

open access: yesمجلة بغداد للعلوم, 2021
This work aims to see the positive association rules and negative association rules in the Apriori algorithm by using cosine correlation analysis.
Dewi Wisnu Wardani
doaj   +1 more source

Association Rules over Time [PDF]

open access: yes, 2021
Decisions made nowadays by Artificial Intelligence powered systems are usually hard for users to understand. One of the more important issues faced by developers is exposed as how to create more explainable Machine Learning models. In line with this, more explainable techniques need to be developed, where visual explanation also plays a more important ...
Iztok Fister Jr., Iztok Fister 0001
openaire   +2 more sources

Evolutionary Selection of a Set of Association Rules Considering Biological Constraints Describing the Prevalent Elements in Bacterial Vaginosis

open access: yesMathematical and Computational Applications, 2023
Bacterial Vaginosis is a common disease and recurring public health problem. Additionally, this infection can trigger other sexually transmitted diseases.
María Concepción Salvador-González   +4 more
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

Selective association rule generation [PDF]

open access: yesComputational Statistics, 2007
Mining association rules is a popular and well researched method for discovering interesting relations between variables in large databases. A practical problem is that at medium to low support values often a large number of frequent itemsets and an even larger number of association rules are found in a database.
Michael Hahsler   +2 more
openaire   +3 more sources

Medical Health Benefit Management System for Real-Time Notification of Fraud Using Historical Medical Records

open access: yesApplied Sciences, 2020
This paper presents a novel framework for fraud detection in healthcare systems which self-learns from the historical medical data. Historical medical records are required for training and testing of machine learning models.
Irum Matloob   +3 more
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

Penerapan Association Rules untuk Elemen Cross Selling Pada Sistem Informasi Customer Development

open access: yesTechno.Com, 2021
Tingkat persaingan yang tinggi dalam dunia bisnis, membuat HPAI harus melakukan strategi yang kuat dalam pemasaran dan penjualan produk. Semakin hari, data transaksi penjualan semakin banyak, dikarenakan ada 1500 transaksi setiap bulan yang terdiri dari ...
Siti Monalisa, Amelia Septia Roza
doaj   +1 more source

Association rules with graph patterns [PDF]

open access: yesProceedings of the VLDB Endowment, 2015
We propose graph-pattern association rules (GPARs) for social media marketing. Extending association rules for item-sets, GPARs help us discover regularities between entities in social graphs, and identify potential customers by exploring social influence. We study the problem of discovering top- k diversified GPARs.
Fan, Wenfei   +3 more
openaire   +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

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