Results 51 to 60 of about 102,603 (200)
Comparison of Apriori and FP-Growth Algorithms in Market Basket Analysis for Online Book Sales
Journal of Applied Informatics and ComputingThis research aims to compare the performance of the Apriori and FP-Growth algorithms in the process of data mining association patterns in the online sales transaction data of a bookstore.
Sofia Rizkal Karimah +1 more
doaj +1 more source
Determination of Temporal Association Rules Pattern Using Apriori Algorithm
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2020 A supermarket must have good business plan in order to meet customer desires. One way that can be done to meet customer desires is to find out the pattern of shopping purchases resulting from processing sales transaction data.
Shona Chayy Bilqisth, Khabib Mustofa
doaj +1 more source
A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control Dataset
مجلة بغداد للعلوم, 2023 Administrative procedures in various organizations produce numerous crucial records and data. These records and data are also used in other processes like customer relationship management and accounting operations.It is incredibly challenging to use ...
Yahya Asmar Zakur +2 more
doaj +1 more source
Recommender Systems: Taxonomy, Applications and Current Research Trends
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.Integrating taxonomy, application developments, open‐source software, and publication trends, this paper identifies and outlines promising future directions for recommender systems research. ABSTRACT Recommender Systems play an essential role in assisting users to navigate the immense amount of information and services available online, aiding them in ...
Daniel Ranchal‐Parrado +2 more
wiley +1 more source
Investigating factors affecting electricity energy consumption using association rules(Case study: Yazd city) [PDF]
کاوشهای جغرافیایی مناطق بیابانیExtended Abstract:1. IntroductionElectricity is an essential input for all production systems and a necessity for all modern families. Hence, relevant energy policies are needed to induce efficient electricity consumption in the residential sector in ...
Alireza Sarsangi Aliabad +4 more
doaj +1 more source
Engineering Reports, Volume 8, Issue 5, May 2026.Social media algorithms drive a hidden risk chain: over‐disclosure → behavioral fusion → targeted attacks. We propose a 128‐dim, law‐aware risk scoring model with Drools‐based dynamic alerts for universities. ABSTRACT As universities undergo accelerated digital transformation, social media algorithms—while streamlining campus services—have emerged as a
Weishu Ye, Zhi Li
wiley +1 more source
Association Rule Analysis for Sales Strategy Optimization with Apriori Algorithm Method
Sistemasi: Jurnal Sistem InformasiPT XYZ is a manufacturing company that produces various types of industrial valves. Despite having entered the export market, the company continues to experience monthly fluctuations in order volumes due to the suboptimal use of data in formulating ...
Avril Firda Amelia +1 more
doaj +1 more source
D-Apriori: An Algorithm to Incorporate Dynamism in Apriori Algorithm
International Journal of Computer Applications, 2014 Apriori algorithm mines the data from the large scale data warehouse using association rule mining. In this paper a new algorithm named as Dynamic Apriori (D-Apriori) algorithm is presented. The proposed D-Apriori algorithm incorporates the dynamism in classical Apriori for efficiently mining the frequent itemsets from a large scale database.
N. Badal, S. Bagga
openaire +1 more source
British Journal of Health Psychology, Volume 31, Issue 2, May 2026.Abstract Objectives To explore the delivery of the train the trainer (TtT) model for Making Every Contact Count (MECC) training in the North East and North Cumbria (NENC) region of England. Design A qualitative study, utilizing semi‐structured interviews.
Beth Nichol +7 more
wiley +1 more source
How do some concepts vanish over time? [PDF]
, 2009 This paper presents the current stage of my PhD research focused on the use of machine learning in supporting the human learn from examples. I present here an approach to answer how some concepts change their contexts in time, using two techniques ...
Pavel, Gabriela
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