Rule-based models via the axiomatic fuzzy set clustering and their granular aggregation

F Zhao, G Li, H Guo, L Wang - Applied Soft Computing, 2022 - Elsevier
Rule-based models have become a popular way to represent and analyze the main
knowledge residing in data because of the increasing complexity and uncertainty. For …

Decoding Customer Behaviour: Relevance of Web and Purchasing Behaviour in Predictive Response Modeling

S Rogić, L Kašćelan - IFIP International Conference on Artificial …, 2023 - Springer
In this paper, an approach is presented to improve the online direct marketing process
regarding predictive customer response modeling. Namely, customer response models are …

Perancangan Sistem Informasi Layanan Pendaftaran E-Ktp Berbasis Web

A Suryadi, C Adiwihardja, RA Anggraini… - Simpatik: Jurnal Sistem …, 2021 - jurnal.bsi.ac.id
Permasalahan dalam proses pembuatan kartu tanda penduduk saat ini banyak menemui
masalah diantaranya ketersediaan blanko ktp, birokrasi pemerintah hingga pelayanan di …

Método para la predicción de la intención de compra de los usuarios en línea utilizando técnicas de aprendizaje de máquina

LF Ortiz-Clavijo - repositorio.unal.edu.co
El desafío de predecir la intención de compra de los usuarios en línea constituye un aspecto
crítico en el dinámico mundo del comercio electrónico. En este contexto, comprender y …

[PDF][PDF] INVESTIGATING RELIABILITY OF MACHINE LEARNING RESULTS DEPENDING ON A METHOD AND THE FEATURE PRE-PROCESSING-THE CASE OF E …

J Iwański, G Suchacka - scs-europe.net
ABSTRACT A plenty of studies in recent years have aimed at developing machine learning
(ML) models for various tasks, especially with the use of supervised learning (classification) …

[引用][C] Penerapan Teknik Random Undersampling untuk Mengatasi Imbalance Class dalam Prediksi Kebakaran Hutan Menggunakan Algoritma Decision Tree

I Kurniawan, DCP Buani, WA Abdussomad, E Fitriani - Forest, 2023

[引用][C] TO BUY OR NOT TO BUY: COMPARISON OF MACHINE LEARNING TECHNIQUES TO PREDICT ONLINE SHOPPING PREFERENCE OF CUSTOMERS

D KAPOOR, A CHAKRABORTY, S DANIEL