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Sense of place predictors of perceived effects of a proposed island to mainland bridge on future experienceRaadik Cottrell, Jana; Cottrell, StuartIsland studies journal2019 / p. 187-204 : ill http://doi.org/10.24043/isj.86

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Significant factors extraction : a combined logistic regression and apriori association rule mining approachShahin, Mahtab; Burtl, Markus; Heidari Iman, Mohammad Reza; Ghasempouri, Tara; Sharma, Rahul; Shah, Syed Attique; Draheim, DirkMachine Learning Methods in Systems : proceedings of 13th Computer Science On-line Conference 2024 ; Vol. 42024 / p. 295-311 https://link.springer.com/book/9783031705946 https://doi.org/10.1007/978-3-031-70595-3_30 Conference proceeding 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

Number of records 2, displaying 1 - 2

1. logistic regression
2. logistic regression AraBERT
3. logistic regression model
4. cyber-physical system logistic robot
5. logistic map
6. logistic model
7. logistic processes
8. maritime logistic
9. Bayesian additive regression tree
10. classification and regression tree
11. instrumental variable regression
12. linear regression
13. meta-regression analysis
14. multilinear regression
15. Multiple Linear Regression
16. multiple regression models
17. panel smooth transition regression
18. panel smooth transition regression (PSTR)
19. partial least squares regression
20. penalized weighted regression
21. plaque regression
22. PLS regression
23. quantile regression
24. Random Parameter Linear Regression Model (RPLRM)
25. regression
26. regression analyses
27. regression analysis
28. regression based model
29. regression models
30. regression testing
31. regression tree
32. Regression tree analysis
33. ridge regression
34. spatial panel regression
35. support vector regression
36. symbolic regression
37. tobit regression model
38. wear regression

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