Titlebook: Advances in Databases and Information Systems; 28th European Confer Joe Tekli,Johann Gamper,Yannis Manolopoulos Conference proceedings 2024

Fantasy

Formalising Evolutionary Theory, social networks, human contact networks, financial transaction networks, etc.) are time-varying in nature, i.e., the relationship changes over time. Such networks are often modeled as Temporal Networks. In this paper, we study the problem of enumerating cohesive substructures present in a given te

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Executive Functioning Theory and ADHDability under syntactic transformations, where two columns are not equi-joinable but can become equi-joinable after some transformations. Discovering those transformations is a challenge because of the large space of possible candidates, which grows with the input length and the number of rows. Our

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Davide Cenadelli,Andrea Bernagozzinstance, data processing systems already shifted from disk-oriented to main memory-oriented architectures to efficiently exploit the ever-increasing capacities of main memory. A prominent example for such new developments are emerging memory technologies such as very large caches, high-bandwidth mem

PURG

Handbook of Experimental Structural Dynamicsus datasets and prepare them for machine learning (ML). However, current data lakes lack mature capabilities to support ML requirements. AutoML is the process of automating the end-to-end application of ML to real-world problems. Large Language Models (LLMs) can potentially increase ML pipeline auto

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佛刊

https://doi.org/10.1007/978-3-031-70626-4DISCOVERY AND DATA ANALYSIS; ALGORITHMS AND OPTIMIZATION; ACCESS METHODS AND QUERY PROCESSING; ADVANCED