**Sequential Pattern mining** to solve Sequential Pattern Mining Problem with/without time constraint

**[PPIC]**[1] : Find all frequents sequences. Additional constraints are available as well. *Software + Code + Benchmarks

**[PPICt]**[2] : Handle timed constraints (gap, span) over timed-datasets in sequential pattern mining. Additional constraints are available as well. *Software + Code + Benchmarks

**Itemset Mining** to solve 3 itemset mining problems: Frequent Itemset Mining, Frequent closed Itemset Mining and Discriminative (or correlated) Itemset Mining with the possibility to handle additional constraints.

**[CoverSize]**[3] : Find all itemsets. Additional constraints are available as well. *Software + Code + Benchmarks

### References

- An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming,
Aoga, John O. R., Guns Tias, and Schaus Pierre
, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II, Cham, p.315–330, (2016)
- Mining Time-constrained Sequential Patterns with Constraint Programming,
Aoga, John O. R., Guns Tias, and Schaus Pierre
, Constraints, Volume 22, (2017)
- CoverSize: {A} Global Constraint for Frequency-Based Itemset Mining,
Schaus, Pierre, Aoga John O. R., and Guns Tias
, Principles and Practice of Constraint Programming: 23rd International Conference, {CP 2017}, Volume 10416, Melbourne, VIC, Australia, p.529–546, (2017)