Main data mining prototypes

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DMT4SP : extraction of episodes and of sequential patterns under constraints

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Other selected prototypes

Here are mentioned only the main data mining prototypes, developed under contract with a company, or distributed and used by other academic teams in other labs.

For each, my participation covers several of the following aspects: pattern specification / pattern ranking measure / algorithm design / proofs of soundness and completeness / implementation / parameter tuning methods / pre-processing and post-processing techniques.

• Marguerite (PhD Ieva Mitasiunaite) Differential mining of string sets under constraints.
• WinMiner (PhD Nicolas Meger) Finding episode rules and their maximal confidence temporal windows in sequences of events.
• Go-Spec (PhD Marion Leleu) Extracting sequential patterns in sequences containing contiguous event repetitions.
• ACE3 (PhD Thomas Daurel) Extracting classification rules with delta-free antecedents.
• ACMiner (PhD Artur Bykowski) Finding delta-free sets and delta-strong rules in Boolean transaction databases.

Special thanks to users, experts in application domains, and other data mining researchers that contributed to these works.