106 results on '"García, Salvador"'
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2. Lose the Memory, Lose the History, Lose the City
3. Lose the Memory, Lose the History, Lose the City
4. Dual Antiplatelet Therapy Versus Antiplatelet Monotherapy Plus Oral Anticoagulation in Patients with Acute Coronary Syndrome and Coronary Artery Ectasia: Design and Rationale of OVER-TIME Randomized Clinical Trial
5. Adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams
6. Monotonic Constrained Clustering: A First Approach
7. A Preliminary Approach for using Metric Learning in Monotonic Classification
8. Modeling Human Decision-Making Delays and Their Impacts on Supply Chain System Performance: A Case Study
9. Data Reduction for Big Data
10. Imperfect Big Data
11. Big Data: Technologies and Tools
12. Big Data Software
13. Big Data Discretization
14. Imbalanced Data Preprocessing for Big Data
15. Smart Data
16. Introduction
17. Final Thoughts: From Big Data to Smart Data
18. Distance Metric Learning with Prototype Selection for Imbalanced Classification
19. A Preliminary Approach for using Metric Learning in Monotonic Classification
20. Monotonic Constrained Clustering: A First Approach
21. Modeling Human Decision-Making Delays and Their Impacts on Supply Chain System Performance: A Case Study
22. Agglomerative Constrained Clustering Through Similarity and Distance Recalculation
23. Software and Libraries for Imbalanced Classification
24. Imbalanced Classification with Multiple Classes
25. Performance Measures
26. Algorithm-Level Approaches
27. Dimensionality Reduction for Imbalanced Learning
28. Ensemble Learning
29. Cost-Sensitive Learning
30. Introduction to KDD and Data Science
31. Data Level Preprocessing Methods
32. Foundations on Imbalanced Classification
33. Imbalanced Classification for Big Data
34. Data Intrinsic Characteristics
35. Non-classical Imbalanced Classification Problems
36. Learning from Imbalanced Data Streams
37. Approximations and error bounds for traveling and standing wave solutions of the one-dimensional M5-model for mesenchymal motion
38. On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data
39. Big Data Preprocessing
40. Modeling the Antecedents and Effects of Integrated Marketing Communication (IMC) in the Hospitality Industry: An Extended Abstract
41. rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests
42. Discretization
43. Instance Selection
44. Feature Selection
45. Data Reduction
46. Dealing with Missing Values
47. Dealing with Noisy Data
48. Data Preparation Basic Models
49. A Data Mining Software Package Including Data Preparation and Reduction: KEEL
50. Data Sets and Proper Statistical Analysis of Data Mining Techniques
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