Results 21 to 30 of about 104,957 (252)

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
doaj   +1 more source

Sequential Association Rule Mining for Autonomously Extracting Hierarchical Task Structures in Reinforcement Learning

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, Fatemeh Afghah, Matthew E. Taylor   +2 more
doaj   +1 more source

Evolving temporal fuzzy association rules from quantitative data with a multi-objective evolutionary algorithm [PDF]

, 2011
A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifies numerous temporal association rules that occur more frequently in areas ...
C. Carmona, C.A.C. Coello, E. Corchado, K. Deb, M. Kaya, M. Kaya, S.G. Matthews, T.-P. Hong, Y. Li   +8 more
core   +1 more source

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, Álvarez Macías, José Luis, Riquelme Santos, José Cristóbal   +2 more
openaire   +3 more sources

NiaAutoARM: Automated Framework for Constructing and Evaluating Association Rule Mining Pipelines

Mathematics
Numerical 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
doaj   +1 more source

niarules: Advancing interpretable machine learning through numerical association rule mining and 3D coral plot visualization

SoftwareX
Numerical 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, Gerlinde Emsenhuber, Jan Hendrik Plümer, Iztok Fister, Andreas Holzinger   +4 more
doaj   +1 more source

Re-mining item associations: methodology and a case study in apparel retailing [PDF]

, 2010
Association mining is the conventional data mining technique for analyzing market basket data and it reveals the positive and negative associations between items.
Atan, Tankut, Demiriz, Ayhan, Ertek, Gurdal, Ertek, Gürdal, Kula, Ufuk   +4 more
core   +1 more source

Measurement of body temperature and heart rate for the development of healthcare system using IOT platform [PDF]

, 2019
Health can be define as a state of complete mental, physical and social well-being and not merely the absence of disease or infirmity according to the World Health Organization (WHO) [1].
Fairuz Norsidek, Nur Izza, Ibrahim, Nabilah, Mei Ying, Ng   +2 more
core   +1 more source

EDNRB‐dependent endothelin signaling reduces proliferation and promotes proneural‐to‐mesenchymal transition in gliomas

Molecular Oncology, EarlyView.
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau, Leonor Garcia, Hugo Arnold, Antonija Hanžek, Maialen Arrieta, Laurent R Gauthier, Christine Granotier‐Beckers, François D Boussin, Amaury Herbet, Marie Hautière, Valentin Asei‐Ceschino, Clémentin Jacques, Laura Brard, Thomas Harnois, Valérie Coronas, Bruno Constantin, Aurélien Chatelier, Jean Chemin, Serge Urbach, Martial Seveno, Szimonetta Hideg, Chantal Ripoll, Kasandra Aguilar‐Cázarez, Min Zheng, Guo‐Hao Huang, Sheng‐Qing Lv, Lei Zhang, Philippe Rondard, Laurent Prezeau, Jean‐Philippe Pin, Hugues Duffau, Luc Bauchet, Valérie Rigau, Franck Denat, Charles Truillet, Didier Boquet, Jean‐Philippe Hugnot   +36 more
wiley   +1 more source

A Multi-Objective Nutcracker Optimization Algorithm Based on Cubic Chaotic Map for Numerical Association Rule Mining

Applied Sciences
Traditional numerical association rule mining optimization algorithms have limitations in handling discrete attributes, and they are susceptible to becoming trapped in local optima, uneven population distribution, and poor convergence.
Qiwei Hu, Shengbo Hu, Mengxia Liu
doaj   +1 more source