Comparison of Tools for Analyzing Big Data Based on Analysis of Judicial Practice in Kazakhstan
| dc.contributor.author | Bektemirov R. | |
| dc.date.accessioned | 2024-12-25T06:36:12Z | |
| dc.date.available | 2024-12-25T06:36:12Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | This work introduces a problem of analyzing court practice in Kazakhstan. Focus of this work is to find best solution to introduced problem of analysis. The objective is to review existing solutions in big data analytics, examine them and compare their performance on the tasks of analyzing court practice. To complete this objective many of modern solutions were reviewed and separated by groups, such as frameworks, programming languages and software tools. For comparison Tableau, Orange and RapidMiner software tools were chosen. Furthermore, a program developed to generate sample data for analysis. Results of conducted comparison shows that Tableau is the best software to solve problem of analyzing court practice in Kazakhstan. Measured results fully reflect real solution of analyzing court practice in Kazakhstan and can help Supreme Court to improve their analytical systems. | |
| dc.identifier.uri | https://repository.sdu.edu.kz/handle/123456789/1617 | |
| dc.language.iso | en | |
| dc.subject | big data analytics, programming languages, court practice, Kazakhstan, analytical systems | |
| dc.title | Comparison of Tools for Analyzing Big Data Based on Analysis of Judicial Practice in Kazakhstan | |
| dc.type | Other |