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Titlebook: Data Mining and Big Data; 8th International Co Ying Tan,Yuhui Shi Conference proceedings 2024 The Editor(s) (if applicable) and The Author(

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31#
發(fā)表于 2025-3-27 00:16:46 | 只看該作者
John McDermid,Martyn Thomas,Felix Redmilluccessful AI applications with the help of knowledge graphs. High-quality knowledge graphs are often built with a domain ontology, which is known to be a tedious and manual intensive task. Well-designed Relational Databases (RDBs) is an important source for obtaining ontologies and knowledge graphs.
32#
發(fā)表于 2025-3-27 02:57:18 | 只看該作者
33#
發(fā)表于 2025-3-27 09:14:57 | 只看該作者
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發(fā)表于 2025-3-27 11:58:39 | 只看該作者
35#
發(fā)表于 2025-3-27 15:52:23 | 只看該作者
J?rn Stuphorn,Bernd Sieker,Peter B. Ladkintegration and management capabilities of computing power, data, algorithm, and AI framework required for AI computing. It also tackles the difficulty of sharing, discovery, and flexible scheduling of distributed computing resources under the condition of storage-computing separation architecture. Th
36#
發(fā)表于 2025-3-27 19:11:58 | 只看該作者
Data Mining and Big Data978-981-97-0844-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
37#
發(fā)表于 2025-3-27 23:12:10 | 只看該作者
A Local Interpretability Model-Based Approach for Black-Box Adversarial Attacke whole example, and added perturbations may be large and easily detected by human eyes. This study proposes a Local Interpretable Model-agnostic Explanations (LIME)-based approach for black-box adversarial Attack (LIME-Attack). The approach can reduce the size of perturbations via adding perturbati
38#
發(fā)表于 2025-3-28 05:32:20 | 只看該作者
FirewaLLM: A Portable Data Protection and?Recovery Framework for?LLM Services regarding user privacy. These large language models possess the potential to inadvertently expose sensitive information, encompassing personal identities, health particulars, and financial data. The inadvertent exposure and misuse of such information can lead to significant privacy breaches, thereb
39#
發(fā)表于 2025-3-28 08:28:42 | 只看該作者
40#
發(fā)表于 2025-3-28 12:18:22 | 只看該作者
Query Reverse Engineering of?Pre-deleted Uncorrelated Operatorsto write complex programs, especially query statements. Query Reverse Engineering solves the problem of deriving query statements from the database and the desired output table in reverse. SQUARES, which is based on Domain-Specific Languages (DSL), is one of the most advanced models in this field. H
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