[LIBRO][B] Data Mining: Algoritma dan Penerapannya

RF Putra, RSY Zebua, B Budiman, PW Rahayu… - 2023 - books.google.com
Buku" Data Mining: Algoritma dan Penerapannya" adalah panduan komprehensif yang
membahas konsep dan praktik data mining dalam dunia informatika. Buku ini mengulas …

RETRACTED: Evaluation of machine learning techniques for heart disease prediction using multi-criteria decision making

A Kumar, AK Singh, A Garg - Journal of Intelligent & Fuzzy …, 2024 - content.iospress.com
More than 70% of all fatalities are caused by heart disease which is the main reason for
mortality and morbidity worldwide as noted by Bhatt et al.[1]. Poor diet, smoking, a lot of …

[HTML][HTML] Energy Disaggregation of Industrial Machinery Utilizing Artificial Neural Networks for Non-intrusive Load Monitoring

P Pelger, J Steinleitner, A Sauer - Energy and AI, 2024 - Elsevier
This paper explores the application of non-intrusive load monitoring techniques in the
industrial sector for disaggregating the energy consumption of machinery in manufacturing …

[HTML][HTML] Prediction of individual weight loss using supervised learning: findings from the CALERIETM 2 study

C Glasbrenner, C Höchsmann, CF Pieper… - The American Journal of …, 2024 - Elsevier
Background Predicting individual weight loss (WL) responses to lifestyle interventions is
challenging but might help practitioners and clinicians select the most promising approach …

K-Means Algorithm Implementation for Project Health Clustering

AAC Rindu, R Astriratma, A Zaidiah - Jurnal RESTI (Rekayasa …, 2023 - jurnal.iaii.or.id
Indonesia has several companies that are involved in the telecommunications sector.
Various projects run in parallel to support the success of telecommunications companies …

Classification of flood disaster level news articles using Machine Learning

R Santosa, A Fariza, F Arifin - The Indonesian Journal of Computer Science, 2024 - ijcs.net
Floods have a significant socio-economic impact on Indonesian society. Much of this
information is sourced from online news articles and social media. This research …

Redes neuronales como heurísticas para resolver problemas NP-completos

L Martín García - 2024 - docta.ucm.es
Los problemas NP-completos representan uno de los desafíos más significativos en el
campo de la informática. Estos problemas son de gran importancia en la vida real, ya que …

Supply Chain Optimisation with Machine Learning and Neural Networks: Applications to Demand Planning, Supply Planning, and Inventory Planning.

L Cully - 2024 - arc.cct.ie
This thesis explores the impact of machine learning (ML) on supply chain planning,
particularly in demand forecasting, supply planning, and inventory optimisation. By …

Predicting Risk Level in Life Insurance Application: Comparing Accuracy of Logistic Regression, DecisionTree, Random Forest and Linear Support VectorClassifiers

P Karthik Reddy, S Veerababu - 2023 - diva-portal.org
Background: Over the last decade, there has been a significant rise in the life insurance
industry. Every life insurance application is associated with some level ofrisk, which …

Prediction the Choice of Financing for Start-ups using Machine Learning Algorithms and Behavioral Biases

N Niazi, H Razavi - Engineering Management and Soft Computing, 2024 - jemsc.qom.ac.ir
The aim of this paper is to predict financing methods to support decision-making for startup
founders and their investors. Initially, factors influencing the choice of financing methods …