DataBase and Data Mining Group

An optimizer to support data mining activities                

Tutor

Description

•  Association rule extraction
  • Frequent itemset extraction -> computationally intensive
  • Association rule generation from frequent itemsets
• Research activity usually focuses on defining efficient algorithms for itemset extraction
• Different algorithms are suitable for different data distribution
• Some algorithms have been integrated into a DBMS Open Source kernel

Applications:

• Data mining optimizer to automatically select appropriate algorithms and data access methods for frequent itemset mining
• Design and develop a module (i.e., an optimizer), in case integrated into a DBMS Open Source kernel (e.g., PostgreSQL), which is able to select for each mining process the best algorithm for the current data distribution