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2. Efficiently Discover Multi-level Maximal High-Utility Patterns from Hierarchical Databases

3. Investigation of Machine Learning and Deep Learning Approaches for Early PM2.5 Forecasting: A Case Study in Vietnam

4. Enhancing Machine Learning Approaches for Early Detection of Depression Levels for Vietnamese Students

7. Efficient Pruning Strategy for Mining High Utility Quantitative Itemsets

8. Extracting Top-k High Utility Patterns from Multi-level Transaction Databases

11. Auto Machine Learning-Based Approach for Source Printer Identification

12. Updating the Result Ontology Integration at the Concept Level in the Event of the Evolution of Their Components

14. Cross-Level High-Utility Itemset Mining Using Multi-core Processing

15. An Efficient Approach for Mining High-Utility Itemsets from Multiple Abstraction Levels

16. Mining Class Association Rules on Dataset with Missing Data

17. Updating Ontology Alignment on the Instance Level Based on Ontology Evolution

20. Incremental clickstream pattern mining with search boundaries

21. Effect of Cu2+ Ions Substitution on Structure and Photocatalytic Activity of CuxNi1−xFe2O4 Nanoparticles.

22. High Utility Association Rule Mining

23. A Parallel Algorithm for Mining High Utility Itemsets

25. A Dynamic Packed Approach for Analytic Data Warehouse in Ad-Hoc Queries

26. Constraint-Based Method for Mining Colossal Patterns in High Dimensional Databases

27. An Improved Algorithm for Mining Top-k Association Rules

31. Mining Association Rules from a Single Large Graph.

32. Mining Class Association Rules with Synthesis Constraints

37. Mining Class Association Rules with the Difference of Obidsets

40. Mining Association Rules from a Single Large Graph

43. Interestingness Measures for Classification Based on Association Rules

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