首页    期刊浏览 2024年11月23日 星期六
登录注册

文章基本信息

  • 标题:Programming Languages for Data Mining : A Review
  • 本地全文:下载
  • 作者:Neha Walia ; Arvind Kalia
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2020
  • 卷号:68
  • 期号:1
  • 页码:38-41
  • DOI:10.14445/22312803/IJCTT-V68I1P109
  • 出版社:Seventh Sense Research Group
  • 摘要:Explosive growth of data from zettabytes to yottabytes resulted in the flooding of data in this digital universe but the availability of knowledge is very much limited. There are prevalent tools and techniques available now a days to mine data and find useful knowledge from it. Data mining is one of the utmost commonly used approach for exploring new relations /knowledge from the huge databases. There are number of progamming lanaguages available to accomplish this task. Tha paper focuses on the study of four prevailing programming languages namely R, Python, Julia and Java with their technical features. The study emphasize on the programming languages that are easily available, open source, high level, platform independent and object oriented. The study can proliferate the choice of programming languages for extracting valuable information by the programmers and developers..
  • 关键词:Programming Languages; Data mining; R; Python; Julia; Java; Open Source; Object Oriented
国家哲学社会科学文献中心版权所有