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, ...

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 ...

Competitive Influence Diffusion in Social Networks. Analysis of Social Networks. Game Theory Applications. Data Mining and Knowledge Discovery in Databases. Machine learning algorithms for Database ...

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 ...

Anchorage may not be the most well-connected location in the world. But as it turns out, when people and data are well-connected, location may follow. Anchorage was host to SIGKDD's Conference on ...

Information overload often hinders knowledge discovery on the Web. Existing tools lack analysis and visualization capabilities. Search engine displays often overwhelm users with irrelevant information ...

Written at a time when the boundaries of scientific knowledge, geographical discovery and technological change were being challenged, Frankenstein looks at the key question of whether mankind can have ...