Over the past few years, research and development in data mining has made great progress. Many successful applications have been reported in journals and conferences. In general, data mining systems typically help businesses expose previously unknown patterns in their databases.
It has now been recognized that mining for information and knowledge from large databases and documents will be the next revolution in database systems. It is considered very important tomajor cost savings and potential revenue increase with immediate applications in business, decision systems, information management, communication, scientific research and technology development. Since data mining is still a relatively new research field, a great deal of research and applications are still in progress.
In recent years, advanced data mining techniques have been developed rapidly. More and more sophisticated techniques, such as association rules, fuzzy data mining, genetic algorithms applied to data mining, utility mining etc. have been proposed and many of them have already been deployed in many real-world applications. The major goal of this special session is to bring together the researchers in the data mining field to illustrate its pressing actual needs, demonstrate challenging research issues, and exchange the state-of-the-art research and development.
The scope of the ADMMLT 2017 includes, but is not limited to the following topics:
Classification Systems
Association Rules
Clustering
Utility Mining
Stream Mining
Temporal Mining
Spatial Mining
Features Selection for Data Mining and Machine Learning
Rough Set Applied to Data Mining and Machine Learning
Fuzzy Set Applied to Data Mining and Machine Learning
Genetic Algorithms Applied to Data Mining and Machine Learning
Neural Network Applied to Data Mining and Machine Learning
Applications of Data Mining and Machine Learning
Soft Set Applied to Data Mining and Machine Learning
07月03日
2017
07月05日
2017
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