Results 181 to 190 of about 2,974 (234)

Generative artificial intelligence for automated data extraction from unstructured medical text. [PDF]

JAMIA Open
Dao N, Quesada L, Hassan SM, Campo MI, Johnson S, Ghose S, San José Estépar R, Waxman A, Washko G, Rahaghi FN.   +9 more
europepmc   +1 more source

A simulation study on risk emergence mechanism and transmission path of coal mine workers' unsafe behaviours based on DEMATEL-ISM and Arena simulation. [PDF]

Sci Rep
Zhou L, Wang M, Yu K, Wang T, Mu Z, Wang Z.   +5 more
europepmc   +1 more source

Mining fuzzy association rules on large numerical data : a data mining system for NAWN

, 2003
openaire   +1 more source

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

Mining 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, Rahul Sharma, Sijo Arakkal Peious, Mahtab Shahin, Sadok Ben Yahia, Dirk Draheim   +5 more
openaire   +1 more source

Toward Reusing the Numerical Association Rule Mining Models

2021
Nowadays, it is no secret that modern machine learning methods are amongst the more computationally-intensive learning methods. The rise in the applications of computationally-intensive deep learning, automated machine learning methods, and even metaheuristics for optimization, have increased the consumption of electrical energy dramatically ...
Fister, Iztok, Iglesias, Andres, Galvez, Akemi, Fister, Iztok   +3 more
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Wolf search algorithm for numeric association rule mining

2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), 2016
Big data has become one of the key sources for valuable information and as information becomes larger it poses some computational challenge in finding a best possible solution for mining association rules and discovering patterns in data. Meta-heuristic algorithm when applied to mining association rules aims to find best possible rules from data ...
Israel Edem Agbehadji, Simon Fong, Richard Millham   +2 more
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Improved Nature-Inspired Algorithms for Numeric Association Rule Mining

2021
Nowadays, only a few papers exist dealing with Association Rule Mining with numerical attributes. When we are confronted with solving this problem using nature-inspired algorithms, two issues emerge: How to shrink the values of the upper and lower bounds of attributes properly, and How to define the evaluation function properly?
Iztok Fister, Vili Podgorelec, Iztok Fister   +2 more
openaire   +1 more source