Analysis of data mining techniques in diagnalising heart disease

N Pa, A Mb, B Kb, D Ab - Intelligent Systems and Computer …, 2020 - ebooks.iospress.nl
Data mining is a technique used for extracting the hidden database technology on a large
database. Further, the medical data mining became extremely important research field due …

[HTML][HTML] Operation strategy optimization of desulfurization system based on data mining

S Liu, L Sun, S Zhu, J Li, X Chen, W Zhong - Applied Mathematical …, 2020 - Elsevier
Desulfurization systems in coal-fired power stations often suffer the problem of high
operating costs caused by a rule-of-thumb control strategy, which implies great potential for …

Ontology-based approach to support life cycle engineering: Development of a data and knowledge structure

AS Wilde, F Wanielik, M Rolinck, M Mennenga… - Procedia CIRP, 2022 - Elsevier
The data supported consideration of the whole life cycle of a product or component for an
optimization of the life cycle and single life cycle stages is a promising research area in Life …

Applying clustering and classification data mining techniques for competitive and knowledge‐intensive processes improvement

M Khanbabaei, M Alborzi, FM Sobhani… - Knowledge and …, 2019 - Wiley Online Library
Processes as one of the valuable knowledge resources can create sustainable competitive
advantages in organizations. There is a large number of processes in organizations. They …

Machine learning and process mining applied to process optimization: bibliometric and systemic analysis

EC Fernandes, B Fitzgerald, L Brown, M Borsato - Procedia Manufacturing, 2019 - Elsevier
The highly competitive business environment has been increasing with the advent of
Industry 4.0, since the fast-changing market requirements need rapid decision-making to …

Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents

J Li, N Huo, Y Gao, J Shi, Y Zhao, G Qu, Y Wu… - arXiv preprint arXiv …, 2024 - arxiv.org
Interactive Data Analysis, the collaboration between humans and LLM agents, enables real-
time data exploration for informed decision-making. The challenges and costs of collecting …

[PDF][PDF] A novel academic performance estimation model using two stage feature selection

P Chaudhury, HK Tripathy - Indonesian Journal of Electrical …, 2020 - academia.edu
Educational data mining has gained tremendous interest from researchers across the globe.
Using data mining techniques in the field of education several significant findings have been …

A variability-aware design approach to the data analysis modeling process

MCV Tavares, P Alencar… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
The massive amount of current data has led to many different forms of data analysis
processes that aim to explore this data to uncover valuable insights. Methodologies to guide …

Mobilya üretimde kullanılan farklı malzemelerin web madenciliği yöntemleri ile değerlendirilmesi

E Sözen, T Bardak - Mobilya ve Ahşap Malzeme Araştırmaları …, 2021 - dergipark.org.tr
İnternet günümüzde yaygın olarak kullanılan ve içerisinde birçok alandan faydalı bilgiler
bulunduran zengin bir kaynaktır. Web madenciliği ise temelde tüketiciler ve tüketicilerin …

Framework for process improvement in manufacturing of metal packaging

E Rautenbach - 2022 - scholar.sun.ac.za
Due to increased competitiveness in the packaging industry, process improvement is
important to give businesses an edge over their competition. This thesis represents a study …