Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Robert Ş. Győrödi"'
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 3, p 153 (2023)
The accelerating pace of application development requires more frequent database switching, as technological advancements demand agile adaptation. The increase in the volume of data and at the same time, the number of transactions has determined that
Externí odkaz:
https://doaj.org/article/b3f8d69dfefa44d295a5f65f44748479
Publikováno v:
Big Data and Cognitive Computing, Vol 6, Iss 2, p 49 (2022)
In the context of the heavy demands of Big Data, software developers have also begun to consider NoSQL data storage solutions. One of the important criteria when choosing a NoSQL database for an application is its performance in terms of speed of dat
Externí odkaz:
https://doaj.org/article/97816162ae474a9d9bd5d120df8629ca
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11590 (2021)
In recent years, with the increase in the volume and complexity of data, choosing a suitable database for storing huge amounts of data is not easy, because it must consider aspects such as manageability, scalability, and extensibility. Nowadays, the
Externí odkaz:
https://doaj.org/article/ac32a78f932749d8892a9fdbd3c365e3
Autor:
Cornelia A. Győrödi, Diana V. Dumşe-Burescu, Robert Ş. Győrödi, Doina R. Zmaranda, Livia Bandici, Daniela E. Popescu
Publikováno v:
Applied Sciences, Vol 11, Iss 15, p 6794 (2021)
Databases are an important part of today’s applications where large amounts of data need to be stored, processed, and accessed quickly. One of the important criteria when choosing to use a database technology is its data processing performance. In
Externí odkaz:
https://doaj.org/article/becd9d7ed31f4b959c984f988774722a
Autor:
Cornelia A. Győrödi, Diana V. Dumşe-Burescu, Doina R. Zmaranda, Robert Ş. Győrödi, Gianina A. Gabor, George D. Pecherle
Publikováno v:
Applied Sciences, Vol 10, Iss 23, p 8524 (2020)
In the current context of emerging several types of database systems (relational and non-relational), choosing the type and database system for storing large amounts of data in today’s big data applications has become an important challenge. In thi
Externí odkaz:
https://doaj.org/article/4539ade2bce8403785c0d14d4e01e252
Autor:
Livia Bandici, Daniela Elena Popescu, Doina Zmaranda, Robert Ş. Győrödi, Cornelia A. Győrödi, Diana V. Dumşe-Burescu
Publikováno v:
Applied Sciences
Volume 11
Issue 15
Applied Sciences, Vol 11, Iss 6794, p 6794 (2021)
Volume 11
Issue 15
Applied Sciences, Vol 11, Iss 6794, p 6794 (2021)
Databases are an important part of today’s applications where large amounts of data need to be stored, processed, and accessed quickly. One of the important criteria when choosing to use a database technology is its data processing performance. In
Autor:
Doina Zmaranda, Gianina Gabor, George Pecherle, Diana V. Dumşe-Burescu, Cornelia A. Győrödi, Robert Ş. Győrödi
Publikováno v:
Applied Sciences
Volume 10
Issue 23
Applied Sciences, Vol 10, Iss 8524, p 8524 (2020)
Volume 10
Issue 23
Applied Sciences, Vol 10, Iss 8524, p 8524 (2020)
In the current context of emerging several types of database systems (relational and non-relational), choosing the type and database system for storing large amounts of data in today&rsquo
s big data applications has become an important challeng
s big data applications has become an important challeng
Publikováno v:
Studies in Computational Intelligence ISBN: 9783642289583
New Concepts and Applications in Soft Computing
New Concepts and Applications in Soft Computing
In the last years, artificial intelligence has been an important field as the environments in which human-made devices have to operate become more and more complex, and designing a new algorithm for each environment can be very time and resources con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b65013b99a56add578f7d447297520e
https://doi.org/10.1007/978-3-642-28959-0_10
https://doi.org/10.1007/978-3-642-28959-0_10
Publikováno v:
WIMS
In this paper, we would like to present an algorithm to determine the repeating patterns inside the DOM tree of a webpage. By doing this we can cluster the content inside a web page and obtain more relevant structured data. The determined DOM structu