Results 21 to 30 of about 11,335,082 (272)
EOQ estimation for imperfect quality items using association rule mining with clustering [PDF]
Decision Science Letters, 2015 Timely identification of newly emerging trends is needed in business process. Data mining techniques like clustering, association rule mining, classification, etc. are very important for business support and decision making.
Mandeep Mittal +2 more
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Applied Sciences, 2021 Most large distribution centers’ order picking processes are highly labor-intensive. Increasing the efficiency of order picking allows these facilities to move higher volumes of products.
Yue Li +4 more
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LC an effective classification based association rule mining algorithm [PDF]
Classification using association rules is a research field in data mining that primarily uses association rule discovery techniques in classification benchmarks.
Mahmood, Qazafi
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Categorization and regression algorithm based on the quantitative association rule tree
工程科学学报, 2016 To solve the problem of the low efficiency and accuracy of numerical data mining based on the Apriori categorization association rule algorithm,this article introduces a categorization and regression algorithm based on the quantitative association rule ...
WANG Ling, LI Shu-lin, WU Lu-lu
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A fault diagnosis system for CNC hydraulic machines: a conceptual framework
Jurnal Ilmiah SINERGI, 2023 The fault diagnosis process in Computer Numerical Control (CNC) hydraulic machines for steel processing relies on skills, experiences, and maintenance technicians' understanding of the machine.
Fajar Anzari +3 more
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A review of associative classification mining [PDF]
, 2007 Associative classification mining is a promising approach in data mining that utilizes the association rule discovery techniques to construct classification systems, also known as associative classifiers.
Fadi Abdeljaber Thabtah, Thabtah, Fadi
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Mining the optimal class association rule set [PDF]
, 2002 We define an optimal class association rule set to be the minimum rule set with the same predictive power of the complete class association rule set.
Hong Shen +12 more
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A Discrete Constrained Optimization Using Genetic Algorithms for A Bookstore Layout [PDF]
International Journal of Computational Intelligence Systems, 2013 In retail industry, one of the most important decisions of shelf space management is the shelf location decision for products and product categories to be displayed in-store.
Tuncay Ozcan, Sakir Esnaf
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Looking at the class associative classification training algorithm [PDF]
, 2007 Associative classification (AC) is a branch in data mining that utilises association rule discovery methods in classification problems. In this paper, we propose a new training method called Looking at the Class (LC), which can be adapted by any rule ...
McCluskey, T.L. +2 more
core +5 more sources
IEEE Access, 2020 Reinforcement learning (RL) techniques, while often powerful, can suffer from slow learning speeds, particularly in high dimensional spaces or in environments with sparse rewards.
Behzad Ghazanfari +2 more
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