Results 11 to 20 of about 3,089 (222)
Applied Sciences, 2022 The spatial distribution of elements can be regarded as a numerical field of concentration values with a continuous spatial coverage. An active area of research is to discover geologically meaningful relationships among elements from their spatial ...
Baoyi Zhang +5 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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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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A Brief Overview of Swarm Intelligence-Based Algorithms for Numerical Association Rule Mining [PDF]
, 2021 Numerical Association Rule Mining is a popular variant of Association Rule Mining, where numerical attributes are handled without discretization. This means that the algorithms for dealing with this problem can operate directly, not only with categorical, but also with numerical attributes.
Iztok Fister Jr., Iztok Fister 0001
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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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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 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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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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NiaAutoARM: Automated Framework for Constructing and Evaluating Association Rule Mining Pipelines
MathematicsNumerical Association Rule Mining (NARM), which simultaneously handles both numerical and categorical attributes, is a powerful approach for uncovering meaningful associations in heterogeneous datasets.
Uroš Mlakar, Iztok Fister, Iztok Fister
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SoftwareXNumerical association rule mining remains comparatively underexplored in interpretable machine learning, largely due to the challenges of handling continuous variables and the limited availability of effective visualization techniques.
Iztok Fister Jr +4 more
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