Titlebook: Big Data Analytics and Knowledge Discovery; 23rd International C Matteo Golfarelli,Robert Wrembel,Ismail Khalil Conference proceedings 2021

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Introducing JavaScript Game Developmentsub-expressions. More recently, a few largely industry-led studies have focussed on the problem of identifying beneficial sub-expressions for large-scale workloads running outside of a DBMS for materialization purposes. However, these works have unfortunately ignored the large-scale workloads runnin

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Linux Distro Selection Criteriascene understanding task with a wide range of applications, including visual question answering, automated vehicle systems, and clinical decision support. Previous approaches to solving the VCR task generally rely on pre-training or exploiting memory with long dependency relationship encoded models.

moratorium

https://doi.org/10.1007/978-1-4842-1392-6Resource Description Framework (RDF) plays a big role in modelling and linking web data and their relations. Dedicated systems (RDF stores/triple stores) were designed to store and query the RDF data. Due to the size of RDF data, a distributed RDF store may use several federated working nodes to sto

Friction

Linux Distro Selection Criteriauted to the establishment of standards such as the SPARQL query language and the emergence of production-ready database management systems based on this data model. In this paper, we however argue that by concentrating on transaction related functionalities rather than analytical operations, most of

Mirage

https://doi.org/10.1007/978-1-349-86084-5tention has been given to the use of various document ranking algorithms to support the maintenance of CDDs. The typical approach is to represent the update document collection using a form of word embedding and to input this into a ranking model; the resulting document rankings can then be used to

RECUR

Introducing Markdown and Pandoc that describes the environment and pedestrian behaviors at the pedestrian encounter scenes. The performance is compared against a baseline BiLSTM-CRF model trained for each factor separately. The evaluation results show that the proposed NLP framework outperforms the baseline model. We show that th