Data Mining tools
- Data Mining tools have objective of discovering patterns/trends/groupings on large sets of data and transforming data into more refined information.
The Most Popular Data Mining Tools are:
Data Mining Tools
Orange Data Mining:
- This tool is a perfect machine learning and data mining software suite. It supports the visualization and may be a software-based on components written in Python computing language and developed at the bioinformatics laboratory at the faculty of computer and information science, Ljubljana University, Slovenia.
Orange Data Mining
Significant functionalities such as:
- Data reading
- Displaying data table and allowing to select features
- Data element visualization, etc.
- Training predictors and comparison of learning algorithms
Why Orange?
- Orange allows users to make smarter decisions in a short time rapidly comparing and analyzing the data. Orange quite interesting to users. A good open-source data visualization as well as evaluation that concerns beginners and professionals. This is also used as a python library.
- Orange can read documents in native and other data formats. Orange dedicated to machine learning techniques for classification or supervised data mining.
SAS Data Mining
- It is a product of SAS(Statistical Analysis System) Institute created for analytics and data management.
- SAS distributed memory processing architecture that is highly scalable.
- It is suitable for data mining, optimization and text mining purposes.
- It offers a graphical UI for non-technical users.
SAS Data Mining
DataMelt Data Mining
- DMelt is a multi-platform utility written in JAVA.
- It consists of Science(Scientific libraries are used for drawing the 2D/3D plots.) and mathematics(Mathematical libraries are used for random number generation, algorithms, curve fitting, etc.) libraries.
DataMelt Data Mining
- DataMelt is a computation and visualization environment.
- DMelt can be used for the analysis of the large volume of data, data mining, and statistical analysis.
Rattle
- Rattle exposes the statical power of R by offering significant data mining features. Rattle gives other options to review a code, use it for many purposes, and extend the code without any restriction.
Rattle
Rapid Miner
Rapid Miner
- It is written in JAVA programming language.
- It offers an integrated environment for text mining.
- Rapid Miner is one of the most popular predictive analysis and it can be used for a wide range of applications
- Rapid Miner comes with template-based frameworks that enable fast delivery