Organizations today are gathering ever-growing volumes of information from all kinds of sources, including websites, enterprise applications, social media, mobile devices, and increasingly the internet of things (IoT).The big question is: How can you derive real business value from this information? That’s where data mining can contribute in a big way.

Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships, to solve business problems or generate new opportunities through the analysis of the data.[ Roundup: TensorFlow, Spark MLlib, Scikit-learn, MXNet, Microsoft Cognitive Toolkit, and Caffe machine learning and deep learning frameworks. | Cut to the key news and issues in cutting-edge enterprise technology with the InfoWorld Daily newsletter. ]
It’s not just a matter of looking at data to see what has happened in the past to be able to act intelligently in the present.

Data mining tools and techniques let you predict what’s going to happen in the future and act accordingly to take advantage of coming trends.To read this article in full or to leave a comment, please click here

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