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 Causal Chain Identification: Comprehensive Insights from?Text and?Knowledge Graphss to depict a logical pathway, which is also beneficial in preventing ambiguity problems during text generation. However, most causal chains tend to lose their causal meaning after multiple hops, also this phenomenon occurs in other chains of relations. To discriminate the broken linkage in chain de

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Towards Regional Explanations with?Validity Domains for?Local Explanationsxplanations are of major interest because they are intelligible and claim to be locally faithful to the machine learning model. However, there is no guarantee that these explanations can apply to new similar observations. This raises questions about the usefulness of acquired knowledge through such

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Ada2vec: Adaptive Representation Learning for?Large-Scale Dynamic Heterogeneous Networksuts to various downstream machine learning tasks, such as classification, clustering and similarity search. The research area has attracted great interest and effort in recent years. However, due to its complexity, few of the existing representation learning methods have been developed for dynamic h

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0302-9743 too place in Naples, Italy, during August 26-28, 2024.?..The 16 full and 20 short papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Modeling and design; entity matching and similarity; classification; machine l

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0302-9743 rom 83 submissions. They were organized in topical sections as follows: Modeling and design; entity matching and similarity; classification; machine learning methods and applications; time series; data repositories;optimization; and data quality and applications.?.978-3-031-68322-0978-3-031-68323-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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