RapidMiner is another GUI based tool that supports a rich set of data mining functions and integration with various data sources and platforms. Weka is a software suite that provides a collection ...

The best insights are based on the most complete, most accurate, and most timely data. Minitab Connect empowers data users from across the enterprise with self-serve tools to transform diverse ...

All bank marketing campaigns are dependent on customers huge electronic data. The size of these data sources is impossible for a human analyst to come up with interesting information that will help in ...

Data mining tools are the set of practices which are used to analyze data from various perspectives and dimensions, classifying & grouping the data, finding previously unknown hidden patterns, and ...

We have used Rapid miner tool to implement below algorithms. RapidMiner is a data science software platform developed by the company of the same name that provides an integrated environment for data ...

This Second Edition of Data Mining: Concepts, Models ... clustering methodologies This text offers guidance on how and when to use a particular software tool (with the companion data sets) from among ...

NiceHash provides ASIC Manager for efficient ASIC mining, which includes real-time monitoring, control, and future ...

The future of data mining on Linux looks promising, with advancements in AI, quantum computing, and edge technologies paving ...

with over 110 chapter exercises * Demonstrates the Clementine data mining software suite, WEKA open source data mining software, SPSS statistical software, and Minitab statistical software * Includes ...

1 In areas other than the life sciences and healthcare, data mining is a huge industry, with more than a hundred companies providing a vast array of software products and services to clients that ...

A practical approach to data mining with large volumes of complex data ... ensemble and bundling techniques, text mining; use of leading software tools; business examples and research literature. The ...

A practical approach to data mining with large volumes of complex data; prepare, cleanse and visualise data; supervised and unsupervised modelling; ensemble and bundling techniques; use of leading ...