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2. Extracting Frequent Gradual Patterns Using Constraints Modeling

3. Efficient Encodings of Conditional Cardinality Constraints

4. Towards a Compact SAT-Based Encoding of Itemset Mining Tasks

6. On SAT Models Enumeration in Itemset Mining

7. On the measure of conflicts: A MUS-Decomposition Based Framework

8. Revisiting the Learned Clauses Database Reduction Strategies

9. A Mining-Based Compression Approach for Constraint Satisfaction Problems

10. Extending Modern SAT Solvers for Enumerating All Models

11. Mining to Compact CNF Propositional Formulae

12. On Maximal Frequent Itemsets Enumeration

13. On Maximal Frequent Itemsets Mining with Constraints

14. A Parallel SAT-Based Framework for Closed Frequent Itemsets Mining

15. Pushing the Envelope in Overlapping Communities Detection

16. On the Complexity of Computing Minimal Unsatisfiable LTL formulas

17. Integrating Conflict Driven Clause Learning to Local Search

18. Learning for Dynamic subsumption

19. A SAT-Based Framework for Overlapping Community Detection in Networks

20. Clustering Complex Data Represented as Propositional Formulas

21. Enumerating Non-redundant Association Rules Using Satisfiability

27. A Generic and Declarative Method for Symmetry Breaking in Itemset Mining

28. Decomposition Based SAT Encodings for Itemset Mining Problems

29. Enumerating Prime Implicants of Propositional Formulae in Conjunctive Normal Form

32. The Top-k Frequent Closed Itemset Mining Using Top-k SAT Problem

33. On Freezing and Reactivating Learnt Clauses

34. Boosting Local Search Thanks to cdcl

35. Diversification and Intensification in Parallel SAT Solving

36. Segmentation of 3D Brain Structures Using the Bayesian Generalized Fast Marching Method

37. Efficient Combination of Decision Procedures for MUS Computation

39. Circuit Based Encoding of CNF Formula

40. Eliminating Redundant Clauses in SAT Instances

42. Exploiting Past and Future: Pruning by Inconsistent Partial State Dominance

44. A Symbolic Search Based Approach for Quantified Boolean Formulas

45. Automatic Extraction of Functional Dependencies

46. Support Inference for Generic Filtering

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