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Rational Design of Single-Phase High-Entropy Oxides via Large Language Model Data Mining and Explainable Machine Learning. [PDF]

open access: yesJ Chem Inf Model
da Silva Sousa Santos A   +5 more
europepmc   +1 more source

Mining Association Rules using Lattice Theory (6th Workshop on Stochastic Numerics)

open access: yesMining Association Rules using Lattice Theory (6th Workshop on Stochastic Numerics)
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A Systematic Assessment of Numerical Association Rule Mining Methods

SN Computer Science, 2021
In data mining, the classical association rule mining techniques deal with binary attributes; however, real-world data have a variety of attributes (numerical, categorical, Boolean). To deal with the variety of data attributes, the classical association rule mining technique was extended to numerical association rule mining.
Minakshi Kaushik   +2 more
exaly   +2 more sources

On the Potential of Numerical Association Rule Mining

Communications in Computer and Information Science, 2020
In association rule mining, both the classical algorithms and today’s available tools either use binary data items or discretized data. However, in real-world scenarios, data are available in many different forms (numerical, text) and these types of data items are not supported in the classical association rule mining algorithms.
Minakshi Kaushik   +2 more
exaly   +2 more sources

Time series numerical association rule mining variants in smart agriculture

open access: yesJournal 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   +2 more
exaly   +5 more sources

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