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How the apriori algorithm can help to find semantic duplicates in ontologyAstrova, Irina; Koschel, Arne; Lee, Su LingKnowledge-Based Software Engineering: 2020 : Proceedings of the 13th International Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2020), Larnaca, Cyprus, August 24-26, 20202020 / p. 178-191 https://doi.org/10.1007/978-3-030-53949-8_16

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Performance of a distributed apriori algorithm using the serverless functions of the Apollo frameworkShahin, Mahtab; Shah, Syed Attique; Sharma, Rahul; Ghasempouri, Tara; Poveda, Juan Aznar; Fahringer, Thomas; Draheim, DirkMachine Learning Methods in Systems : proceedings of 13th Computer Science On-line Conference 20242024 / 12 p https://link.springer.com/book/9783031705946 https://doi.org/10.1007/978-3-031-70595-3_37 Conference proceedings at Scopus Article at Scopus Article at WOS

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Related publications 1
- Efficient and effective association rule mining on big data and cloud technology : a multifaceted analysis = Tõhus ja efektiivne assotsiatsioonireeglite kaevandamine suurandmetel ja pilvetehnoloogial : mitmekülgne analüüs
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Using market basket analysis to find semantic duplicates in ontologyAstrova, Irina; Koschel, Arne; Lee, Su LingComputational Science and Its Applications – ICCSA 2020 : 20th International Conference, Cagliari, Italy, July 1–4, 2020 : Proceedings, Part IV2020 / p. 197-211 https://doi.org/10.1007/978-3-030-58811-3_14 Conference proceedings at Scopus Article at Scopus Conference proceedings at WOS Article at WOS

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Number of records 3, displaying 1 - 3

1. apriori algorithm
2. apriori
3. A* algorithm
4. adaptive algorithm
5. algorithm
6. algorithm aversion
7. algorithm controlling the learning process
8. algorithm design and theory
9. algorithm optimization
10. algorithm-based decision
11. artificial hummingbird algorithm
12. Bat algorithm (BA)
13. BLAST algorithm
14. Bound Optimization BY Quadratic Approximation optimization algorithm
15. chameleon swarm algorithm
16. Cocke-Younger-Kasami algorithm
17. consensus algorithm
18. constrained algorithm (CA)
19. control algorithm
20. distributed algorithm
21. evolutionary algorithm
22. evolutionary algorithm multi-objective
23. FP Growth (Frequent-Pattern Growth) algorithm
24. genetic algorithm
25. Genetic Algorithm (GA)
26. gravitational search algorithm
27. greedy algorithm (GA)
28. humpback whale optimization algorithm (HWOA)
29. hybrid genetic algorithm (GA)
30. ICD (Iterated Contextual Distance) algorithm
31. inductive learning algorithm
32. intelligent algorithm's (ICA GA PSO)
33. iterative algorithm
34. learning algorithm
35. Levenberg–Marquardt algorithm
36. LogCluster algorithm
37. matching algorithm
38. meta-heuristic algorithm
39. montgomery algorithm
40. multi-algorithm methodology
41. nearest neighbour (k-NN) algorithm
42. non overlapping backoff algorithm (NOBA)
43. non sorting genetic algorithm II (NSGA-II)
44. non-dominated sorting genetic algorithm II (NSGA II)
45. non-overlapping backoff algorithm (NOBA)
46. optimization algorithm
47. parallel genetic algorithm
48. Prim's algorithm
49. Q-learning algorithm
50. recognition algorithm
51. reconstruction algorithm
52. routing algorithm
53. rule-based algorithm
54. search algorithm
55. SLAM algorithm
56. STA/LTA trigger algorithm
57. startup algorithm
58. Steepest descent algorithm
59. super twisting algorithm
60. Unique Backoff Algorithm (UBA)
61. water filling algorithm
62. XgBoost algorithm

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