Examples of using Knowledge discovery in English and their translations into Chinese
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Knowledge Discovery Framework.
It is also often called knowledge discovery.
Knowledge discovery and data mining.
Statistical Data Mining and Knowledge Discovery.
Knowledge discovery and decision support.
Big Data analytics, geographic knowledge discovery.
Data mining and knowledge discovery handbook(pp. 667- 685).
This book will be anexcellent textbook for courses on Data Mining and Knowledge Discovery.
Data Mining and knowledge discovery.
The knowledge discovery in databases(KDD) process is commonly defined with the stages:.
Sometimes it is also called knowledge discovery in databases(KDD).
The term“Knowledge Discovery in Databases”(KDD) was coined by Gregory Piatetsky-Shapiro in 1989.
The work was presented at the Conference on Knowledge Discovery and Data Mining in Canada this month.
Training samples maybe externally supplied orsupplied by a previous stage of the knowledge discovery process.
The term“Knowledge Discovery in Databases”(KDD) was coined by Gregory Piatetsky-Shapiro in 1989.
(7) Early papers in this area mentioned the possibility of knowledge discovery from the biomedical literature.
Knowledge Discovery and Databases(KDD) deals with the overall process of discovering useful knowledge from data.
This will open new application domains for deep learning, such as robotics,data mining, and knowledge discovery.
Knowledge discovery in databases(KDD) is the process of discovering usefulknowledge from a collection of data.
This will open new application domains for deep learning, such as robotics,data mining, and knowledge discovery.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD) is one of the top data mining conferences in the world.
UCI KDD Database Repository forlarge datasets used in machine learning and knowledge discovery research.
The knowledge discovery they make possible raises considerable questions about how our framework for privacy protection applies in a big data ecosystem.
He served as the founding Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data(TKDD).
The knowledge discovery initiatives at UNIMAS are premised partly upon the wealth of natural resources and diverse socio-cultural make up of the State of Sarawak.
He is an Associate Editor of the ACM Transactions on Knowledge Discovery from Data(ACM TKDD) and Journal of Neural Networks.
By combining attributes, attribute construction can discover missing information about the relationships betweendata attributes that can be useful for knowledge discovery.
Cluster analysis as such is not an automatic task,but an iterative process of knowledge discovery or interactive multi-objective optimization that involves trial and failure.
He is an associate editor of ACM Transactions on Database Systems andwas recently editor-in-chief of the Journal of Data Mining and Knowledge Discovery.