Results 71 to 80 of about 19,159 (179)

Analisis Market Basket Dengan Algoritma Apriori dan FP-Growth [PDF]

, 2009
Algoritma yang umum digunakan dalam proses pencarian frequent itemsets (data yang paling sering muncul) adalah Apriori. Tetapi algoritma Apriori memiliki kekurangan yaitu membutuhkan waktu yang lama dalam proses pencarian frequent itemsets.
Erwin, Erwin
core   +1 more source

Domain‐Knowledge‑Guided Rule Extraction for Governing Nepheline Amount in High‑Level Waste Glasses

International Journal of Applied Glass Science, Volume 17, Issue 4, October 2026.
ABSTRACT Nepheline crystallization during canister centerline cooling is one of the most constraining factors limiting waste loading in high‐level waste (HLW) borosilicate glasses. Existing predictive models treat nepheline formation as a binary outcome, yet durability degradation depends continuously on nepheline fraction.
Irmak Sargin
wiley   +1 more source

Meat Intake and Risk of Gastric and Esophageal Adenocarcinoma in the European Prospective Investigation Into Cancer and Nutrition (EPIC) Study

International Journal of Cancer, Volume 159, Issue 5, Page 1176-1187, 1 September 2026.
Limited evidence links processed meat intake and non‐cardia gastric cancer, while esophageal adenocarcinoma is increasing in Western countries, where diets are typically high in red and processed meats. Using data from over 450,000 participants from a large prospective study, the authors examined meat consumption and the risk of gastric and esophageal ...
Catalina Bonet, Lucía Rizzolo‐Brime, Sara Montañés, Mariem Hajji, Chloé Marques, Gianluca Severi, Matthias B Schulze, Christina C. Dahm, Anne Tjønneland, Anja Olsen, Maria S. De Magistris, Valeria Pala, Alberto Catalano, Guri Skeie, Magritt Brustad, Torill Enget Jensen, Maria‐José Sánchez, Marcela Guevara, Natalia Cabrera Castro, Keren Papier, Elisabete Weiderpass, Viktoria Knaze, Jin Young Park, Gwen Murphy, Antonio Agudo, Paula Jakszyn   +25 more
wiley   +1 more source

Symbolic Data Mining in Databases Using the Apriori Algorithm

, 2013
This thesis discusses symbolic data mining, its concepts and uses in the discovery of knowledge hidden in large datasets. Data mining is a multidisciplinary field, drawing work from areas including database technology, machine learning, statistics ...
Imouokhome, Eseohen
core  

Accurate and Efficient Data‐Driven Partitioned Scheme for Coupled Heterogeneous Numerical Models

Numerical Methods for Partial Differential Equations, Volume 42, Issue 5, September 2026.
ABSTRACT Heterogeneous numerical models (HNMs) combine conventional discretization modules such as finite elements with nonconventional data‐driven and reduced‐order modules. HNMs can improve computational efficiency and enable simulations of multi‐physics systems in which one or more constituent components lack first‐principles descriptions and must ...
Edward Huynh, Justin Owen, Paul Kuberry, Pavel Bochev   +3 more
wiley   +1 more source

Mineração de dados de um plano de saúde para obter regras de associação [PDF]

, 2000
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Produção, Florianópolis, 2000As organizações estão investindo cada vez mais na exploração da informação e conhecimento ...
Souza, Otávio Roberto Martins de
core  

arules - A Computational Environment for Mining Association Rules and Frequent Item Sets [PDF]

Mining frequent itemsets and association rules is a popular and well researched approach for discovering interesting relationships between variables in large databases.
Bettina Grün, Kurt Hornik, Michael Hahsler   +2 more
core  

Enhancing The Server-Side Internet Proxy Detection Technique in Network Infrastructure Based on Apriori Algorithm of Machine Learning Technique

JOIV: International Journal on Informatics Visualization
The widespread use of proxy servers has introduced challenges in managing and securing internet connections, particularly in detecting non-transparent proxies that obscure the originating IP address.
Kamaruzaman Maskat, Mohd Rizal Mohd Isa, Mohammad Adib Khairuddin, Nur Diyana Kamarudin, Mohd Nazri Ismail   +4 more
doaj   +1 more source

Scalable and Efficient Improved Apriori Algorithm

, 2020
: Apriori algorithm is a classical algorithm of association rule mining and widely used for mining association rule which uses frequent item. Based on the Apriori algorithm analysis and research, this paper points out the main problems on the application,
Prof. Sheetal Dhande, Miss Nutan Dhange
core  

Sistem Rekomendasi Mata Kuliah Menggunakan Algoritma Apriori [PDF]

, 2018
Sistem rekomendasi ini digunakan untuk merekomendasikan mata kuliah pada mahasiswa yang sedang merencanakan kartu rencana studi. Sistem ini menerapkan metode association rule, dimana metode ini merupakan teknik data mining yang digunakan untuk menemukan ...
Wati, Heni Noviya Isma
core   +1 more source