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Titlebook: Advances in Knowledge Discovery and Data Mining; 26th Pacific-Asia Co João Gama,Tianrui Li,Fei Teng Conference proceedings 2022 The Editor(

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Self-paced Safe Co-training for Regression designed to remove “weak” instances selected in previous rounds. Experiments were undertaken on nine benchmark datasets. The results show that SPOR is superior to both popular co-training regression methods and state-of-the-art semi-supervised regressors.
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Divide and Imitate: Multi-cluster Identification and Mitigation of Selection Biass this limitation. By allowing mixtures of multivariate Gaussians, our technique is able to model multi-cluster datasets and provide solutions for a substantially wider set of problems. Experiments confirm that . not only identifies potential biases in multi-cluster datasets which can be corrected early on but also improves classifier performance.
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A Novel Clustering Algorithm with Dynamic Boundary Extraction Strategy Based on Local Gravitationre groups is clear and easy to cluster. On this basis, the core group clustering (CGC) is further proposed to cluster the core points. The experimental results show that DBELG achieves better performance than existing methods in handling datasets with fuzzy boundaries and complex structures.
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Modelling Zeros in Blockmodellingoise or Jaccard noise. Experiments performed on simulated data show that when no noise is present, the accuracy is independent of the choice of metric. But when noise is introduced, high accuracy results are obtained when the choice of metric matches the type of noise.
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