[PDF][PDF] Using Data Mining Techniques to Develop Knowledge Management in Organizations: A Review.

B Dastyar, H Kazemnejad… - Journal of …, 2017 - pdfs.semanticscholar.org
Nowadays, according to the growth of information and communication technology in society
as well as the development of technologies related to data, information and knowledge …

A generic data analytics system for manufacturing production

H Zhang, H Wang, J Li, H Gao - Big Data Mining and Analytics, 2018 - ieeexplore.ieee.org
The increase in the amount of manufacturing information available means that big data can
be collected and, with appropriate deep analysis, could be of great value to manufacturers …

Clustering wafer defect patterns within the semiconductor industry based on wafer Maps, using an agile unsupervised deep learning approach

C Weber, A Tripuramallu, P Czerner… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
In recent years, the availability of modern technology increased drastically with the raising
availability of integrated devices and applications, such as mobile phones, voice assistant …

Applying data mining techniques to business process reengineering based on simultaneous use of two novel proposed approaches

S Ghanadbashi, M Khanbabaei… - … Journal of Business …, 2013 - inderscienceonline.com
Business process reengineering (BPR) can help organisations to identify and improve their
business processes. A major problem is the high volume of business process datasets with …

[PDF][PDF] Building research productivity framework in higher education institution

A Sanmorino, DP Rini - International Journal of Advanced …, 2021 - repository.unsri.ac.id
The purpose of this study is to build a framework for improving research productivity in
higher education institutions. The research begins by collecting data and defining candidate …

[PDF][PDF] Big Data in Industrie 4.0-Eine strukturierte Aufarbeitung von Anforderungen, Anwendungsfällen und deren Umsetzung

P Gölzer - 2017 - researchgate.net
Industrie 4.0 steht für die vierte industrielle Revolution und ein neues Paradigma der
Organisation industrieller Wertschöpfungsprozesse. Produkte und Maschinen werden zu …

An improved fault detection methodology for semiconductor applications based on multi-regime identification

EGJ Huang - 2013 - rave.ohiolink.edu
As the technology trends moving forward rapidly in semiconductor manufacturing industry,
the importance of prognostics and health management cannot be neglected. Any kind of …

Automated knowledge discovery or integration: a systematic review of data mining in knowledge management

E Peu - 2021 - scholar.sun.ac.za
Abstract ENGLISH SUMMARY: Data mining and knowledge management activities have
been crucial for making sense of the vast amounts of data, information, and knowledge …

[PDF][PDF] Preliminary Overview of Data Mining Technology for Knowledge Management System in Institutions of Higher Learning

M Wook, ZM Yusof, MZA Nazri - Proceedings of World Academy of …, 2013 - researchgate.net
Data mining has been integrated into application systems to enhance the quality of the
decision-making process. This study aims to focus on the integration of data mining …