Application of the rule-growing algorithm RIPPER to particle physics analysis

Understand

A large hadron machine like the LHC with its high track multiplicities always asks for powerful tools that drastically reduce the large background while selecting signal events efficiently.

• Actually such tools are widely needed and used in all parts of particle physics.
• Regarding the huge amount of data that will be produced at the LHC, the process of training as well as the process of applying these tools to data, must be time efficient.
• Such tools can be multivariate analysis -- also called data mining -- tools.