Data mining and knowledge discovery represent an integrative process through which large, complex and heterogeneous datasets are transformed into actionable insights. This field encompasses a series ...

Almost everyone today operates multi-cloud and cloud-hybrid systems. These organizations have data in flat files, tagged files, relational databases, document stores, graph databases, and more.

Thesis/Dissertation Title: "Applying the Knowledge Discovery in Database Process Model as a Framework to Enhance Educational Data Mining and Learning Analytics” Dissertation Committee Hsien-Yuan Hsu ...

I was recently treated to a demonstration of a mission-focused IT solution that made me proud of what technologists at FBI can do. What I saw was a best in class integration of search, discovery and ...

Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including connections to different types of databases is a critical ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More For years, enterprise companies have been plagued by data silos ...

Knowledge discovery and data mining have become areas of growing significance because of the recent increasing demand for KDD techniques, including those used in machine learning, databases, ...