The Experts below are selected from a list of 2544 Experts worldwide ranked by ideXlab platform
Kuochi Chang - One of the best experts on this subject based on the ideXlab platform.
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study of data Repetitive Record cleaning technology of mes system in high tech process
International Conference on Advanced Machine Learning Technologies and Applications, 2021Co-Authors: Kuochi Chang, Kaichun Chu, Yuhchung Lin, Fuhsiang Chang, Hsiaochuan Wang, Tsuilien Hsu, Trongthe Nguyen, Tienwen SungAbstract:High-tech industries such as semiconductors have become important pillars of Taiwan’s economy under the raging COVID-19 epidemic. The MES system actively collects and monitors the production materials generated in the manufacturing process and integrates the core business required by the company’s production such as orders, suppliers, property management, production, equipment maintenance, quality control, and other processes to improve the company’s manufacturing process and production efficiency. Big Data of the process is the foundation of information. Good data quality is the basic condition for effective data analysis applications such as OLAP and data mining. The recursive field matching algorithm uses the recursive structure of the text field. The Sorted-Neighborhood Method (SNM) algorithm cannot solve all the matching Records detected by a single keyword. Data cleaning is a relatively mature field that expects more breakthroughs and innovations. There is still a lot of room for technological development, but there is still a lot of work to be done, the specific recommendations already provided.
Tienwen Sung - One of the best experts on this subject based on the ideXlab platform.
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study of data Repetitive Record cleaning technology of mes system in high tech process
International Conference on Advanced Machine Learning Technologies and Applications, 2021Co-Authors: Kuochi Chang, Kaichun Chu, Yuhchung Lin, Fuhsiang Chang, Hsiaochuan Wang, Tsuilien Hsu, Trongthe Nguyen, Tienwen SungAbstract:High-tech industries such as semiconductors have become important pillars of Taiwan’s economy under the raging COVID-19 epidemic. The MES system actively collects and monitors the production materials generated in the manufacturing process and integrates the core business required by the company’s production such as orders, suppliers, property management, production, equipment maintenance, quality control, and other processes to improve the company’s manufacturing process and production efficiency. Big Data of the process is the foundation of information. Good data quality is the basic condition for effective data analysis applications such as OLAP and data mining. The recursive field matching algorithm uses the recursive structure of the text field. The Sorted-Neighborhood Method (SNM) algorithm cannot solve all the matching Records detected by a single keyword. Data cleaning is a relatively mature field that expects more breakthroughs and innovations. There is still a lot of room for technological development, but there is still a lot of work to be done, the specific recommendations already provided.
Kaichun Chu - One of the best experts on this subject based on the ideXlab platform.
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study of data Repetitive Record cleaning technology of mes system in high tech process
International Conference on Advanced Machine Learning Technologies and Applications, 2021Co-Authors: Kuochi Chang, Kaichun Chu, Yuhchung Lin, Fuhsiang Chang, Hsiaochuan Wang, Tsuilien Hsu, Trongthe Nguyen, Tienwen SungAbstract:High-tech industries such as semiconductors have become important pillars of Taiwan’s economy under the raging COVID-19 epidemic. The MES system actively collects and monitors the production materials generated in the manufacturing process and integrates the core business required by the company’s production such as orders, suppliers, property management, production, equipment maintenance, quality control, and other processes to improve the company’s manufacturing process and production efficiency. Big Data of the process is the foundation of information. Good data quality is the basic condition for effective data analysis applications such as OLAP and data mining. The recursive field matching algorithm uses the recursive structure of the text field. The Sorted-Neighborhood Method (SNM) algorithm cannot solve all the matching Records detected by a single keyword. Data cleaning is a relatively mature field that expects more breakthroughs and innovations. There is still a lot of room for technological development, but there is still a lot of work to be done, the specific recommendations already provided.
Yuhchung Lin - One of the best experts on this subject based on the ideXlab platform.
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study of data Repetitive Record cleaning technology of mes system in high tech process
International Conference on Advanced Machine Learning Technologies and Applications, 2021Co-Authors: Kuochi Chang, Kaichun Chu, Yuhchung Lin, Fuhsiang Chang, Hsiaochuan Wang, Tsuilien Hsu, Trongthe Nguyen, Tienwen SungAbstract:High-tech industries such as semiconductors have become important pillars of Taiwan’s economy under the raging COVID-19 epidemic. The MES system actively collects and monitors the production materials generated in the manufacturing process and integrates the core business required by the company’s production such as orders, suppliers, property management, production, equipment maintenance, quality control, and other processes to improve the company’s manufacturing process and production efficiency. Big Data of the process is the foundation of information. Good data quality is the basic condition for effective data analysis applications such as OLAP and data mining. The recursive field matching algorithm uses the recursive structure of the text field. The Sorted-Neighborhood Method (SNM) algorithm cannot solve all the matching Records detected by a single keyword. Data cleaning is a relatively mature field that expects more breakthroughs and innovations. There is still a lot of room for technological development, but there is still a lot of work to be done, the specific recommendations already provided.
Fuhsiang Chang - One of the best experts on this subject based on the ideXlab platform.
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study of data Repetitive Record cleaning technology of mes system in high tech process
International Conference on Advanced Machine Learning Technologies and Applications, 2021Co-Authors: Kuochi Chang, Kaichun Chu, Yuhchung Lin, Fuhsiang Chang, Hsiaochuan Wang, Tsuilien Hsu, Trongthe Nguyen, Tienwen SungAbstract:High-tech industries such as semiconductors have become important pillars of Taiwan’s economy under the raging COVID-19 epidemic. The MES system actively collects and monitors the production materials generated in the manufacturing process and integrates the core business required by the company’s production such as orders, suppliers, property management, production, equipment maintenance, quality control, and other processes to improve the company’s manufacturing process and production efficiency. Big Data of the process is the foundation of information. Good data quality is the basic condition for effective data analysis applications such as OLAP and data mining. The recursive field matching algorithm uses the recursive structure of the text field. The Sorted-Neighborhood Method (SNM) algorithm cannot solve all the matching Records detected by a single keyword. Data cleaning is a relatively mature field that expects more breakthroughs and innovations. There is still a lot of room for technological development, but there is still a lot of work to be done, the specific recommendations already provided.