WEKA supports several standard data mining tasks, including data preprocessing, clustering, classification, regression, visualization and feature selection.
Its free under the GNU General Public License, which is a big plus compared to RapidMiner, because users can customize it however they please. With the Java-based version, the tool is very sophisticated and used in many different applications including visualization and algorithms for data analysis and predictive modeling. The original non-Java version of WEKA primarily was developed for analyzing data from the agricultural domain. RapidMiner is distributed under the AGPL open source licence and can be downloaded from SourceForge where it is rated the number one business analytics software. What makes it even more powerful is that it provides learning schemes, models and algorithms from WEKA and R scripts. In addition to data mining, RapidMiner also provides functionality like data preprocessing and visualization, predictive analytics and statistical modeling, evaluation, and deployment. Offered as a service, rather than a piece of local software, this tool holds top position on the list of data mining tools. A bonus: Users hardly have to write any code. Written in the Java Programming language, this tool offers advanced analytics through template-based frameworks. Here are six powerful open source data mining tools available: RapidMiner (formerly YALE) Plenty of tools are available for data mining tasks using artificial intelligence, machine learning and other techniques to extract data. This is where data mining comes into picture. However, most of the data is unstructured and hence it takes a process and method to extract useful information from the data and transform it into understandable and usable form. It is rightfully said that data is money in today’s world. Along with the transition to an app-based world comes the exponential growth of data.
0 kommentar(er)
