Results 11 to 20 of about 6,573,619 (301)

Employing data mining to explore association rules in drug addicts [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining, 2014
Drug addiction is a major social, economic, and hygienic challenge that impacts on all the community and needs serious threat. Available treatments are successful only in short-term unless underlying reasons making individuals prone to the phenomenon are
Farzaneh Zahedi   +1 more
doaj   +1 more source

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

Research on Knowledge Management of Aviation Manufacturing Based on Association Rules

open access: yesZhishi guanli luntan, 2019
[Purpose/significance] The two major measures to strengthen Chinese industrial infrastructure capacity, including the “Strengthening the Basic Domain Standards System” and the “Strengthening the Development of ...
Du Jiang, Liu Hang, Bai Yu
doaj   +1 more source

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

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

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 ...
Fister Jr., Iztok, Fister, Iztok
openaire   +2 more sources

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

Recommender system based on pairwise association rules

open access: yesExpert systems with applications, 2019
Recommender systems based on methods such as collaborative and content-based filtering rely on extensive user profiles and item descriptors as well as on an extensive history of user preferences.
Timur Osadchiy   +4 more
semanticscholar   +1 more source

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