Programming Languages for Data Mining : A Review
|© 2020 by IJCTT Journal|
|Year of Publication : 2020|
|Authors : Neha Walia, Arvind Kalia|
|DOI : 10.14445/22312803/IJCTT-V68I1P109|
How to Cite?
Neha Walia, Arvind Kalia, "Programming Languages for Data Mining : A Review," International Journal of Computer Trends and Technology, vol. 68, no. 1, pp. 38-41, 2020. Crossref, https://doi.org/10.14445/22312803/IJCTT-V68I1P109
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.
Programming Languages, Data mining, R, Python, Julia, Java, Open Source, Object Oriented
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