Journal for Developers

Best Programming Languages for Data Mining

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The process of converting raw data into some valuable info is basically termed as Data Mining. To know more about the clienteles and progress more effective marketing/advertising strategies the industries are now using specified softwares. Data mining depends on the computer processing and an assortment of data. The tools used for data mining forecast the future drift plus behavior. They also permit business to reach the knowledge driven choice. Let’s have a look at some of the best programming languages for data mining.

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Best Programming Languages for Data Mining

R Project “R”

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. The R language was first revealed in 1993 as per their WIKI page.

R is the most widespread language in data science. With just a few lines of code, you could generate sleek graphics toward representing the figures. Normally, excel files are used by data analyst; however, now R is gradually being used for fiscal modeling mainly as a visualization tool.

One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. At its essential, R offers imposing tools for data mining plus analysis.

 

Python“Python”

Programmers regard Python as a clear and simple language with a high readability. The simplicity exists both in the language itself as well as in the encouragement to write clear and simple code prevalent among Python programmers. Python has firm data mining abilities and has appeared as a decent option in data processing. Python is the finest tool for medium scale documents processing.

Python is extensive and flexible, so persons easily connect to it. We all distinguish Python as an interpreted language, we might think that it is slow, however, some astonishing work has been done above the past years toward improving Python’s performance. The point here is that, if you want high-performance calculations, Python is a feasible finest option today. Python is fast gaining majority and becoming a more concrete language. Python is instinctive and easier to learn than R, and its ecology has grown intensively in recent years for freelance services, creating it more accomplished of the statistical analysis beforehand reserved for R.

These are two most successful programming languages for data mining widely used by the programmers and data analysts. There are other programming languages also which are used for data mining and some of them are mentioned below:

  • Java
  • Hadoop and Hive
  • Kafka and Storm
  • Julia

Do let us know if we need to include any language that we have missed here in the list but you as developers are using in your data mining projects.

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