Results 51 to 60 of about 6,703 (218)
Sistemasi: Jurnal Sistem InformasiThe apriori algorithm uses minimum support and minimum confidence to determine appropriate itemset rules for decision making. The problem faced in this research is how to improve the performance of the a priori algorithm in the process of searching for ...
Moch Syahrir +3 more
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Shopping and Basket Analysis by Using an Improved Apriori Algorithm in WEKA
Journal of Studies in Science and Engineering, 2021 In the past years, e-commerce and online shopping grew fast. It became more helpful by letting people buy the desired product online. Also, to help their users to find the product of their desire easily and make the process simpler, the online shopping ...
Shahab H. Kaka Ali +1 more
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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
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
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Comparative Study of Different Improvements of Apriori Algorithm
, 2016 Data mining is a process of finding out the most frequent patterns from a large set of dataset. Association rule mining is an important technique in data mining.
, Anneshya Ghosh, Ambar Dutta
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Knowledge Engineering and Data Science, 2020 Apriori algorithm is one of the methods with regard to association rules in data mining. This algorithm uses knowledge from an itemset previously formed with frequent occurrence frequencies to form the next itemset.
Adie Wahyudi Oktavia Gama +1 more
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Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.Abstract The three‐dimensional (3D) gravity inversion problem is the process of delineating the volumetric mass distributions from the surface gravity anomalies. Recently, many innovative Convolutional Neural Network (CNN) based algorithms have found some success in reduction of computation costs and delineation of sharper boundaries of causative ...
Abhirup Chaudhuri +2 more
wiley +1 more source
Intelligent data analysis based on natural language processing technology in educational evaluation
Discover Artificial IntelligenceTraditional educational evaluation models cannot comprehensively evaluate students' learning effects and learning abilities in advance, and it is also difficult to track the development and changes of students' abilities in the learning process in real ...
Ruili Zheng
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Optimization of Teaching Management System Based on Association Rules Algorithm
Complexity, 2021 The teaching management department carries all the work related to teaching in the whole school. A scientific, efficient, and complete teaching management system cannot only help the teaching management department improve work efficiency and quality but ...
Qing Niu
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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