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Titlebook: Big Data Analytics and Knowledge Discovery; 26th International C Robert Wrembel,Silvia Chiusano,Ismail Khalil Conference proceedings 2024 T

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Exploring Evaluation Metrics for Binary Classification in Data Analysis: the Worthiness Benchmark Col superiority, but different metrics may yield varying interpretations of the same matrices. We propose the . (.), a novel concept characterizing the classification metrics’ principles for ranking classifiers and is useful to select the best metric for a given problem.
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Towards Regional Explanations with Validity Domains for Local Explanationsing users to determine the extent to which the explanation generalizes. We experimentally show that our approach is more precise regarding the machine learning model and has a better coverage of the dataset than Anchors, a known competitor that paved the way for this issue.
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What Do the Retrievals Really Tell Us?for the subtree similarity search problem based on the structure and contents of the trees. We demonstrate through experiments that our proposed method outperforms the previous scan-based methods in terms of speed and is competitive with index-based methods.
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https://doi.org/10.1007/978-981-99-9400-7f the workloads in real-world applications change frequently. This poses the challenge of automatically adapting the indexes to the changing workload. An effective approach to solve this problem is an online index selection process, which does not assume prior knowledge of the workload pattern but a
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