Intelligent Pattern Analytics: Utility-Oriented Concept

Speaker: 

Jerry Chun-Wei Lin

Date: 

18/05/2023 - 11:00

Prof. Jerry Chun-Wei Lin will speak about  Intelligent Pattern Analytics: Utility-Oriented Concept.

Prof. Jerry Chun-Wei Lin focuses on data mining and analytics, artificial intelligence (ML/DL), optimisation and privacy preservation and security. He developed a new "utility-driven" framework, which has been widely used in different domains and applications to retrieve useful and meaningful utility patterns. Moreover, he has published more than 450+ peer-reviewed papers regarding pattern mining, ML/DL learning and privacy and security issues. He is the leader of the well-known SPMF project, which has developed more than 200 data mining and machine learning algorithms and has been widely cited as being used in many different applications.

Author: Krzysztof Grochla | Post date: 09.05.2023 | Last modified: 09.05.2023

Historia zmian

Data aktualizacji: 09/05/2023 - 19:48; autor zmian: Krzysztof Grochla (kil@iitis.pl)

Prof. Jerry Chun-Wei Lin will speak about  Intelligent Pattern Analytics: Utility-Oriented Concept.

Prof. Jerry Chun-Wei Lin focuses on data mining and analytics, artificial intelligence (ML/DL), optimisation and privacy preservation and security. He developed a new "utility-driven" framework, which has been widely used in different domains and applications to retrieve useful and meaningful utility patterns. Moreover, he has published more than 450+ peer-reviewed papers regarding pattern mining, ML/DL learning and privacy and security issues. He is the leader of the well-known SPMF project, which has developed more than 200 data mining and machine learning algorithms and has been widely cited as being used in many different applications.
Data aktualizacji: 09/05/2023 - 19:47; autor zmian: Krzysztof Grochla (kil@iitis.pl)

Prof. Jerry Chun-Wei Lin will speak about  Intelligent Pattern Analytics: Utility-Oriented Concept.

Prof. Jerry Chun-Wei Lin focuses on data mining and analytics, artificial intelligence (ML/DL), optimisation and privacy preservation and security. He developed a new "utility-driven" framework, which has been widely used in different domains and applications to retrieve useful and meaningful utility patterns. Moreover, he has published more than 450+ peer-reviewed papers regarding pattern mining, ML/DL learning and privacy and security issues. He is the leader of the well-known SPMF project, which has developed more than 200 data mining and machine learning algorithms and has been widely cited as being used in many different applications.
Data aktualizacji: 09/05/2023 - 19:46; autor zmian: Krzysztof Grochla (kil@iitis.pl)

Prof. Jerry Chun-Wei Lin will speak about  Intelligent Pattern Analytics: Utility-Oriented Concept.

He focuses on data mining and analytics, artificial intelligence (ML/DL), optimisation and privacy preservation and security. He developed a new "utility-driven" framework, which has been widely used in different domains and applications to retrieve useful and meaningful utility patterns. Moreover, he has published more than 450+ peer-reviewed papers regarding pattern mining, ML/DL learning and privacy and security issues. He is the leader of the well-known SPMF project, which has developed more than 200 data mining and machine learning algorithms and has been widely cited as being used in many different applications.
Data aktualizacji: 09/05/2023 - 16:12; autor zmian: Krzysztof Grochla (kil@iitis.pl)

Prof. Jerry Chun-Wei Lin will speak about  Intelligent Pattern Analytics: Utility-Oriented Concept.

He focuses on data mining and analytics, artificial intelligence (ML/DL), optimisation and privacy preservation and security. He developed a new "utility-driven" framework, which has been widely used in different domains and applications to retrieve useful and meaningful utility patterns. Moreover, he has published more than 450+ peer-reviewed papers regarding pattern mining, ML/DL learning and privacy and security issues. He is the leader of the well-known SPMF project, which has developed more than 200 data mining and machine learning algorithms and has been widely cited as being used in many different applications.
Data aktualizacji: 09/05/2023 - 16:11; autor zmian: Krzysztof Grochla (kil@iitis.pl)

Prof. Jerry Chun-Wei Lin will speak about  Intelligent Pattern Analytics: Utility-Oriented Concept.

He focuses on data mining and analytics, artificial intelligence (ML/DL), optimisation and privacy preservation and security. He developed a new "utility-driven" framework, which has been widely used in different domains and applications to retrieve useful and meaningful utility patterns. Moreover, he has published more than 450+ peer-reviewed papers regarding pattern mining, ML/DL learning and privacy and security issues. He is the leader of the well-known SPMF project, which has developed more than 200 data mining and machine learning algorithms and has been widely cited as being used in many different applications.
Data aktualizacji: 09/05/2023 - 16:08; autor zmian: Krzysztof Grochla (kil@iitis.pl)

Prof. Jerry Chun-Wei Lin will speak about  Intelligent Pattern Analytics: Utility-Oriented Concept.

He focuses on data mining and analytics, artificial intelligence (ML/DL), optimisation and privacy preservation and security. He developed a new "utility-driven" framework, which has been widely used in different domains and applications to retrieve useful and meaningful utility patterns. Moreover, he has published more than 450+ peer-reviewed papers regarding pattern mining, ML/DL learning and privacy and security issues. He is the leader of the well-known SPMF project, which has developed more than 200 data mining and machine learning algorithms and has been widely cited as being used in many different applications.
Data aktualizacji: 09/05/2023 - 10:00; autor zmian: Krzysztof Grochla (kil@iitis.pl)

 


J. C.-W. Lin focuses on data mining and analytics, artificial intelligence (ML/DL), optimisation and privacy preservation and security. He developed a new "utility-driven" framework, which has been widely used in different domains and applications to retrieve useful and meaningful utility patterns. Moreover, he has published more than 450+ peer-reviewed papers regarding pattern mining, ML/DL learning and privacy and security issues. He is the leader of the well-known SPMF project, which has developed more than 200 data mining and machine learning algorithms and has been widely cited as being used in many different applications (around 1000 citations).