A new systematic review and survey of 350 practitioners distills decades of fragmented research into a 24-factor taxonomy of ...

The latest volume of SLAS Discovery showcases how artificial intelligence, deep learning and data-mining strategies are ...

Volume 42 of SLAS Discovery includes one review, eight original research articles and 1 short communication for oncology, ...

In an era where data is often called the new oil, artificial intelligence (AI) is the tool extracting valuable insights from vast digital reserves. AI-powered data mining, a technology at the ...

For a field that has been working to learn from the data trails students leave in online systems, generative AI brings new promises — and new challenges. These days, proponents of learning analytics ...

Predictive analytics and machine learning help companies make better decisions by anticipating what will happen. Both approaches can predict future outcomes by analyzing current and past data. As such ...

Data mining and knowledge discovery refers to the systematic process of extracting useful patterns, trends and models from large and complex data sets. At its heart lies a cycle of problem definition, ...

Text mining is the process of exploring and analyzing large amounts of unstructured text data aided by software that can identify concepts, patterns, topics, keywords and other attributes in the data.

With data analytics needs influencing every major industry—including health care, tech, finance, communication, entertainment, energy, transportation, government, and manufacturing, to name some—there ...

Spread the loveData science is no longer just a buzzword; it’s a fundamental component of decision-making across industries. With the increasing amount of data available, mastering how to analyze and ...

This program prepares participants for successful careers helping organizations make better decisions through analytics. It prepares participants to work effectively with complex, real-world data and ...