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10 Best Data Mining Software For Better Analysis

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10 Best Data Mining Software For Better Analysis

 
Review of: Best Data Mining Tools
Reviewed by: Alka Saha
Rating:
4
On November 30, 2014
Last modified:December 11, 2014

Summary:

More Details

What is data mining? analysing the data and discovering patterns in large data sets is called data mining. Data mining tools are a must have for all the businesses these days. As the data is growing exponentially in today's world it has become possible to predict the future 10 years from now based on this data. We have a huge amount of data (also called Big data) and we need to make smart decisions out of them.

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There are a number of effective software tools for Data Mining that can help us to find relationships, clusters, patterns, categorizing, summarizing, etc from the huge data sets. Such data mining tools can help us to take most accurate decisions which comes out profitable for our business.

We have compiled a list of 10 Best Data Mining Software Tools for analysing big data from various angles. These software can help you in taking out inferences from your business data.

 Top 10 Data Mining Tools

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

 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.

 SAS data mining

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

 weka data mining

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

 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

 orange data mining tool

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

 knime data mining tool

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

 nltk data mining tools

8. JHepWork

JHepWork is another open-source data mining tool best for scientists, engineering students and researchers. It is an interactive data mining tool competitive to commercial data mining software.

JHepWork shows interactive 2D and 3D plots for data sets for better analysis. There are numerical scientific libraries and mathematical functions implemented in Java.

JHepWork

image: http://cdn.techgyd.com/jHepWork.jpg

jHepWork

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

 

image: http://cdn.techgyd.com/pentaho.jpg

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

image: http://cdn.techgyd.com/tanagra.jpg

tanagra

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