DataBase and Data Mining Group

Research Areas

The DataBase and Data Mining Group is a research group of the Department of Computer Engineering of the Politecnico di Torino.
Interests of the group span all aspects of database systems and data analysis.

• Theoretical and application issues related to databases
• Sensor-based data, time series, and stream processing
• Biological (e.g., microarray) and physiological data analysis
• XML data management
• Data integration
• Data warehousing and data mining

Projects

The DataBase and Data Mining Group is currently focusing on the following projects

• Strong Flipping Generalized Itemsets
• Expressive generalized itemset mining
• Bioinformatics
• Large-scale itemset mining
• Sports data analysis
• Analysis of physiological data
• Analysis of sensor network data
• Index support for Itemset Mining in a Relational DBMS
• Associative classification
• Network traffic analysis
• Document summarization
• Social network analysis and mining
• Recommendation systems
• infrequent itemset mining
• ONTIC
• Discovering profitable stocks for intraday trading

Demos

The following demos, related to accepted papers, are available

• TUCAN – Twitter User Centric ANalyzer