Data mining is the process of extracting data from a pattern by utilizing artificial intelligence, statistics, database systems and machine learning. When the data has been extracted, it will be transformed into an understandable and simple structure so that industry practitioners can use it.
It is widely used for marketing (digital and offline), surveillance, experiments and fraud detection.
Data mining involves four tasks namely classification, clustering, association rule learning and regression.
Classification- this is the task of generalizing and structuring familiar structures to employ to new data
Clustering- finding structures and groups in the data that are in one way or another, the same; but without using noted structures in the data
Association rule learning- looking for the inter-relationships of the data
Regression-this step aims to look for a function that models the data with the least error
There are various data mining tools available online, but here are five of the top free open-source data mining software that you can download.
And just like any business, these tools can help in every digital marketing campaign that you are running.
With over 3 million downloads, this is one of the most popular data mining platform. Formerly known as Yet Another Learning Environment (YALE), it is an environment for machine learning and data mining experiments used primarily for research and real-world data mining tasks.
It is integrated with ETL (Extract, Transform and Load) and predictive reporting. It also provides real-time error recognition and recommends quick fixes. RapidMiner also provides more that 500 operators for all main machine learning procedures and there are many extensions available for analysis of time series and texts.
This tool can do pre-processing, clustering, regression, classification and visualization; but aside from this, it can also be integrated with other products like RapidMiner and Knime.
It is written in Java and provides access to SQL databases that utilizes Java Database Connectivity and process the result returned by a database query. Waikato Environment for Knowledge Analysis was developed from New Zealand.
Along with RapidMiner, this is also a widely used free data mining tool for visualization and reporting graphical workbench. Knime is based from Eclipse IDE platform.
It incorporates many different nodes for data I/O, processing cleansing, modelling, analysis and data mining. It is user-friendly, intelligible and comprehensive. It is also written in Java which makes use of its extensions to support plug-ins to provide added functionality.
This is also a visualization and analysis tool with easy to use interface. It is a component-based data mining and machine learning software suite that has powerful, fast and versatile visual programming for analysis.
It is written in C++ and Python. Analysis is achieved through its visual programming interface and most tools are supported with scatterplots, bar charts, trees, dendograms and heatmaps.
Pronounced as “jWork”, it is an environment that is designed for engineers, scientists and students for commercial programs. It is designed for interactive scientific plots in 2D and 3D and has scientific libraries implemented in Java for random numbers and data mining algorithms.
These are just five of the most widely used data mining tools used today. Each one is designed for specific environment or industry, but the good thing about it is that, most of it can be re-written to specify your needs, specifically when it comes to your business.
These tools are mostly used by accounting and audit companies (especially big ones) worldwide. Most of these tools function the way these companies required it to be.
But thinking out of the box, these tools can also provide huge value to digital marketing companies especially those who are running big campaigns.