International Scientific Publications
© 2007-2026 Science Events Ltd
Termeni de utilizare  ·  Politica de confidențialitate
Language English French Polish Romanian Bulgarian
Conference room
Materials, Methods & Technologies 2026, 28th International Conference
13-16 August, Burgas, Bulgaria
Call for Papers

Materials, Methods & Technologies, Volume 7, 2013

RELATION OF FIREWALLS, MACHINE LEARNING METHODS AND HIGH-PERFORMANCE COMPUTING SYSTEMS
Erkan Ozhan, Erdem Ucar
Pagini: 187-194
Publicat: 1 Jan 2013
Vizualizări: 244
Descărcări: 19
Rezumat: In this study to ensure network security which is one of the important elements were investigated firewalls and consistency of written rules. For this purpose were sampled to investigate data mining, are explained firewalls operating principles, types and importance and then are indicated the scope and application of data mining science. As in the third section is highlighted the definition and the advantages of machine learning and are introduced Weka software from of machine learning tools. subject of study which is shown a sample analysis and application. For the analysis used in the firewall logs to big data volume and this data which data mining, machine learning and is studied importance of advantages to provide of interdisciplinary systematic connection.
Cuvinte cheie: firewalls, machine learning, data mining, parallel computing
Citează acest articol: Erkan Ozhan, Erdem Ucar. RELATION OF FIREWALLS, MACHINE LEARNING METHODS AND HIGH-PERFORMANCE COMPUTING SYSTEMS. Journal of International Scientific Publications: Materials, Methods & Technologies 7, 187-194 (2013). https://www.scientific-publications.net/en/article/1003048/
Înapoi la cuprinsul volumului

Submit Feedback

We value your input! Use this form to report any concerns or provide feedback on our published articles. All submissions will be kept confidential.

Prin utilizarea acestui site, sunteți de acord cu Politica noastră de confidențialitate și Termenii și condițiile de utilizare. Folosim cookie-uri, inclusiv pentru analiză, personalizare și reclame.