Results 21 to 30 of about 15,306 (225)
New and Efficient Algorithms for Producing Frequent Itemsets with the Map-Reduce Framework
Algorithms, 2018 The Map-Reduce (MR) framework has become a popular framework for developing new parallel algorithms for Big Data. Efficient algorithms for data mining of big data and distributed databases has become an important problem.
Yaron Gonen, Ehud Gudes, Kirill Kandalov
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3D CAD model classification based on Convolutional Neural Network
Journal of Harbin University of Science and Technology, 2020 Due to the intrinsic complexity of 3D CAD models, the automatic model classification methods are scarce. In this paper, an automatic 3D CAD model classification approach based on Convolutional Neural Network (CNN) is proposed.
DING Bo, YI Ming
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JEPIN (Jurnal Edukasi dan Penelitian Informatika), 2019 Dalam memprediksi persediaan barang banyak metode yang dapat dilakukan antara lain yaitu dengan melakukan pengolahan data penjualan menggunakan metode Data Mining yang disertai dengan algoritma apriori didasarkan pada proses pembelian yang dilakukan oleh
Usman Ependi, Ade Putra
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Matrix: Jurnal Manajemen Teknologi dan Informatika, 2023 The popular association rule algorithms are Apriori and fp-growth; both of these algorithms are very familiar among data mining researchers; however, there are some weaknesses found in the association rule algorithm, including long dataset scans in the ...
Moch. Syahrir, Lalu Zazuli Azhar Mardedi
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Association Analysis with Apriori Algorithm for Electronic Sales Decision Support System
International Journal of Informatics, Information System and Computer Engineering, 2022 The purpose of this study was to determine the level of dependence of various items in order to dig up information on what items are dependent on other items.
R. Fenny Syafariani
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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
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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
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Apriori algorithm based prediction of students’ mental health risks in the context of artificial intelligence [PDF]
Frontiers in Public HealthFu Y, Ren F, Lin J.
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Buletin Al-Turas, 2018 Language syllabus can be defined as a general outline of the language teaching program which guides a teacher what to teach and how to teach in a language program. It, of course, should consist of the approach to apply, materials to teach, the techniques
Muhammad Farkhan
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Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT In this second part of our series of papers, we develop an abstract framework suitable for de Rham complexes that depend on a parameter belonging to an arbitrary Banach space. Our primary focus is on spectral perturbation problems and the differentiability of eigenvalues with respect to perturbations of the involved parameters. As a byproduct,
Pier Domenico Lamberti +2 more
wiley +1 more source