10 Best Data Mining Softwares

1. RapidMiner

RapidMiner is one of the most popular data mining tool available for free. It is an open source data mining software. The best thing is that users do not need to write codes. It already has many templates and other tools that lets us analyse the data easily.

It tools for data preprocessing, predictive analysis, various classifiers, statistical modelling, etc. Rapid Miner lets you convert the data into actions. It will help you predict the future outcomes using various data mining and machine learning algorithms.

RapidMiner

 

2. SAS Data Mining

Discover data set patterns using SAS data mining commercial software. Its descriptive and predictive modelling provides insights for better understanding of the data.

The users do not need to do any coding stuff. They offer an easy to use GUI. They have automated tools from data processing, clustering to the end where you can find best results for taking right decisions. As it is a commercial data mining software there are a number of advanced tools included like scalable processing, automation, intensive algorithms, modelling, data visualization and exploration etc.

 

3. WEKA

WEKA is a very sophisticated data mining tool. It shows you various relationships between the data sets, clusters, predictive modelling, visualization etc. There are a number of classifiers you can apply to get more insight into the data.

WEKA is available for free under GNU public license. They have a package of various machine learning algorithms for data mining applications.

WEKA Data Mining Software

4. Software – R

R-Software is another popular GNU open-source data mining tool. It already has a number of pre-defined modules and functions. Users need to write scripts for their operations.

R- software is a great tool for statistical computing and graphics. This data mining tool is more used by scientists, researchers and students for data mining and analysis requirements. It also provides tools for linear and non-linear modelling, statistical tests, classification, clustering etc.

R-Software

5. Orange Data Mining Software

Orange is an open-source data mining and machine learning tool with visual programming front-end and python libraries and bindings. The package comes with fully fledged components for data preprocessing, scoring & filtering, data exploration, model evaluation, classification & clustering etc.

Orange Data Mining Software

6. KNIME

KNIME has all the data mining tools that you require for data extraction, preprocessing, transformation and loading. It has a graphical user interface which helps users to easily connect the nodes for data processing.

It combines various components for data mining and machine learning. KNIME is very helpful in business intelligence and financial data analysis. You can easily extend KNIME by adding plugins.

KNIME

7. NLTK

NLTK(Natural Language Tool Kit) is best for language processing tasks. Build python programs to deal with human language data. There is a pool of language processing components. There are packages for different purposes.

You only need to pull your desired package and use it. You can also customize small tasks using python.

NLTK

9. Pentaho

Pentaho provides a comprehensive platform for data integration, business analytics and big data. With this commercial tool you can easily blend data from any source. Get insights into your business data and make more accurate information driven decisions for future.

Pentaho

10. Tanagra

Tanagra is a data mining software developed for academic and research purposes. It is available for free. There are tools for exploratory data analysis, statistical learning, machine learning and databases area.

Tanagra

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