Research
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
Child pages
- Analysis of physiological data
- Analysis of sensor network data
- Index Support for Itemset Mining in a RDBMS
- Associative classification
- Network traffic analysis
- BioSumm
- Classification Distance
- Large-scale itemset mining
- Cardinality-based Generalized Itemset Miner
- Bioinformatics