It has become essential in many businesses to make decisions based on information discovered from BigData. Data mining and machine learning are one of key technologies for advanced data analytics. We are developing practical data mining processes, and also try to create new business opportunities in which data analysis and knowledge discovery are very important factors.
Our main focus is on:
- Theoretical research in data mining and machine learning
- Development data mining software (i.e., data mining engines)
- Establishment of data mining processes for business applications
The first activity is research of fundamental principles to invent novel data mining algorithms. We are studying a bunch of element cores including data modeling, optimization, etc. from mathematical and statistical viewpoints. The second is development of efficient and scalable data mining algorithms. We review the results of the first activity from viewpoints of computational/memory/maintenance efficiency, and implement them as software libraries. The last step is technology transfer of the aforementioned research and development states to real-world business applications.
Some of our work includes: