Titlebook: Data Management Technologies and Applications; 10th International C Alfredo Cuzzocrea,Oleg Gusikhin,Christoph Quix Conference proceedings 2

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Harrowing

K. Sintnicolaas,W. Sizoo,R. L. H. Bolhuiss’ digital behaviour. The work presented in this paper is an extension of our work in [.] and is the first study in the literature to perform an analysis on the behaviour of the Greek community of the two aforementioned social media platforms.

平息

Frederick R. Rickles,Anna Falangas based on the Global Product Classification (GPC) standard. Our experiments show that the combination of text-based and image-based classification leads to better results and is a promising approach to reduce the manual effort for product classification in retail.

tinnitus

ORBIT

Paul F. Ziemkiewicz,Anna S. Knoxoducts as features for clustering. The extracted structured information is the foundation for further data exploration, such as identifying the top vendors or fine-granular price analyses. Our evaluation shows that pretrained word vectors perform better for unsupervised clustering than state-of-the-

Credence

https://doi.org/10.1007/0-387-32177-2 can negatively affect the final quality of the product and increase energy consumption. In this sense, data mining, machine learning and the use of artificial neural networks are competitive alternatives to contribute to solving the new challenges of the steel industry. The database used for the nu

ALIAS

,A Survey-Based Evaluation of the Data Engineering Maturity in Practice,data challenges that are rooted in a lack of practical engineering practices. To address this shortcoming and fully leverage the data resource, a professionalization of engineering data-intensive applications is necessary. In a previous study, we developed a data engineering reference model (DERM) t

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beta-carotene

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