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 ...

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 ...

This is a preview. Log in through your library . Abstract Knowledge discovery in databases (KDD) techniques have been extensively employed to extract knowledge from massive data stores to support ...

WASHINGTON, Aug. 12, 2022 — KDD 2022, the premier interdisciplinary conference in data science, today announced the official lineup of research and applied data science papers that will be presented ...

BOSTON--(BUSINESS WIRE)--Zoovu, a leading AI-powered search and product discovery platform, announced today that it has been recognized as a Major Player in the IDC MarketScape: Worldwide Knowledge ...

The story of how data scientists became sexy is mostly the story of the coupling of the mature discipline of statistics with a very young one--computer science. The term “Data Science” has emerged ...

Aureus Pharma has announced that GlaxoSmithKline (GSK) has signed a multi-year license for Aureus Pharma’s AurSCOPE Knowledge databases. Researchers at GSK’s global research and development centers ...

Government, industry, and academic representatives at IBC Life Science's 9th Annual World Congress on Drug Discovery Technology in Boston last week called for a heightened effort to better understand ...

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, ...