Results 11 to 20 of about 2,974 (234)
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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Numerical Association Rule Mining: A Systematic Literature Review
, 2023 Numerical association rule mining is a widely used variant of the association rule mining technique, and it has been extensively used in discovering patterns and relationships in numerical data. Initially, researchers and scientists integrated numerical attributes in association rule mining using various discretization approaches; however, over time, a
Kaushik, Minakshi +3 more
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Time series numerical association rule mining variants in smart agriculture
Journal of Ambient Intelligence and Humanized Computing, 2023 AbstractNumerical association rule mining offers a very efficient way of mining association rules, where algorithms can operate directly with categorical and numerical attributes. These methods are suitable for mining different transaction databases, where data are entered sequentially.
Iztok Fister +4 more
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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 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.
Fister Jr., Iztok, Fister, Iztok
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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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Mining Numeric Association Rules with Genetic Algorithms
, 2001 In this last decade, association rules are being, inside Data Mining techniques, one of the most used tools to find relationships among attributes of a database. Numerous scopes have found in these techniques an important source of qualitative information that can be analyzed by experts in order to improve some aspects in their environment.
Mata Vázquez, Jacinto +2 more
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