Data mining refers to the process of discovering patterns and trends in large volumes of data as well as transforming that data into actionable information. It utilizes statistical analysis, specific algorithms and artificial intelligence. Data mining can prove to be a challenging and time-consuming affair, especially if you don’t have the right tools. If you are a specialist in this field, here are some reliable data mining tools that you can use to make your work easier.
Rapid Miner remains one of the most popular data mining tools. It’s also one of the most effective. Created in Java, this tool can be used for data mining operations in various fields such as commercial applications, business applications, education, training, research, machine learning and application development.
It’s compatible with most systems. It comes with an integrated template-based framework which ensures fast data delivery as well as minimal errors.
Rapid Miner is available in 3 modules – the Miner Studio, Miner Server and Miner Radoop.
Orange is a great piece of software especially when it comes to data mining and machine learning. Being a component software, this tool is best for data visualization.
It’s uses the Python language. Its components are commonly known as widgets. You can then use these widgets for data visualization and predictive modeling as well as evaluation of algorithms.
Also, these widgets provide key functionalities such as visualizing data elements, training predictors and reading data. Orange is available in interactive and fun colors as opposed to most of the other dull tools on the market.
Weka is a machine learning language which was developed in New Zealand at the University of Waikato. This tool is best for predictive modeling and data analysis.
It features visualization tools and algorithms which support machine learning. It comes with an interactive GUI which makes it easy to access all its features.
Written in Java, this software supports major data mining operations such as visualization, processing and regression. Also, this tool can provide access to major databases such as SQL via database connectivity. It can then process the returned results through query.
SiSense is a powerful data mining tool which is best for reporting tasks within a company. It has a great capacity for processing data, both for small and large organizations.
With this tool you can combine data from different sources and then come up with a common repository. Furthermore, it allows you to come up with rich reports which are easy to share across different departments.
Since its launch, SiSense has won several awards in the industry. The reports it generates are exceptionally visual. Thanks to its drag and drop interface, people who are not technical will find it extremely easy to use it.
Final Thoughts On Good Data Mining Tools
Before choosing one data mining tool over the other, you should first analyze your business to understand its needs. Once you’ve done that, it will be easy to identify a tool that aligns with your needs and preferences.