This paper proposes the automated translation of rules extracted from data mining or knowledge discovery tools into active database rules. We term this process of translating a knowledge discovery rule and incorporating it into a database schema in the form of an ECA (eventcondition-action) rule as database schema refinement. We introduce a new rule identification measure for categorising knowl...

Stock market serves as an important indicator of today’s economy. Predicting the price fluctuation stocks and acquiring maximum gains has been main concern investors. In recent years, deep learning models are widely applied to stock prediction have achieved good performances. However, majority these based belong supervised methods not capable dealing with long-term targets. Therefore, in this p...