Research Program
Application Domains
New Results
- Introduction
- Mining Periodic Patterns with a MDL Criterion
- NegPSpan: Efficient Extraction of Negative Sequential Patterns with Embedding Constraints
- NTGSP: Mining Negative Temporal Patterns
- Accelerating Itemset Sampling using Satisfiability Constraints on FPGA
- Are your data data gathered? The Folding Test of Unimodality
- Day-ahead Time Series Forecasting: Application to Capacity Planning
- PerForecast: A Tool to Forecast the Evolution of Time Series for Capacity Planning.
- Tree-based Cost-Sensitive Methods for Fraud Detection in Imbalanced Data
- An Algorithm to Optimize the F-measure by Proper Weighting of Classification Errors
- Learning Maximum excluding Ellipsoids from Imbalanced Data with Theoretical Guarantees
- Answering Provenance-Aware Queries on RDF Data Cubes under Memory Budgets
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Research Program
Application Domains
New Results
- Introduction
- Mining Periodic Patterns with a MDL Criterion
- NegPSpan: Efficient Extraction of Negative Sequential Patterns with Embedding Constraints
- NTGSP: Mining Negative Temporal Patterns
- Accelerating Itemset Sampling using Satisfiability Constraints on FPGA
- Are your data data gathered? The Folding Test of Unimodality
- Day-ahead Time Series Forecasting: Application to Capacity Planning
- PerForecast: A Tool to Forecast the Evolution of Time Series for Capacity Planning.
- Tree-based Cost-Sensitive Methods for Fraud Detection in Imbalanced Data
- An Algorithm to Optimize the F-measure by Proper Weighting of Classification Errors
- Learning Maximum excluding Ellipsoids from Imbalanced Data with Theoretical Guarantees
- Answering Provenance-Aware Queries on RDF Data Cubes under Memory Budgets
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
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