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[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 …
as well as the development of technologies related to data, information and knowledge …
A generic data analytics system for manufacturing production
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 …
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 …
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
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 …
business processes. A major problem is the high volume of business process datasets with …
[PDF][PDF] Building research productivity framework in higher education institution
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 …
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 …
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 …
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 …
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
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 …
decision-making process. This study aims to focus on the integration of data mining …