Results 11 to 20 of about 104,957 (252)
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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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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Mining range associations for classification and characterization [PDF]
, 2018 In this paper, we propose a method that is able to derive rules involving range associations from numerical attributes, and to use such rules to build comprehensible classification and characterization (data summary) models.
Shao, Jianhua, Tziatzios, Achilleas
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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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Assessing the interestingness of temporal rules with Sequential Implication Intensity [PDF]
, 2008 In this article, we study the assessment of the interestingness of sequential rules (generally temporal rules). This is a crucial problem in sequence analysis since the frequent pattern mining algorithms are unsupervised and can produce huge amounts of ...
Blanchard, Julien +2 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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Survey of data mining approaches to user modeling for adaptive hypermedia [PDF]
, 2006 The ability of an adaptive hypermedia system to create tailored environments depends mainly on the amount and accuracy of information stored in each user model.
Chen, SY, Frias-Martinez, E, Liu, X
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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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