Welcome to the laboratory for database and data mining at Simon Fraser university. In today's information society, we witness an explosive growth of the amount of information becoming available in ...

Data mining and pattern recognition form the cornerstone of modern data science by enabling the extraction of meaningful information from vast and complex data sets. These techniques integrate ...

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 ...

This article is published inTsinghua Science and Technology(Tsinghua University Journal of Science and Technology, Natural Science Edition, English) 2026, Issue 1.

Laura Brown: Always Learning and Collaborating When Laura Brown was a graduate student, data science wasn't yet a separate discipline; it was spread throughout many areas. As data science started to ...

Identify the key components of the data mining pipeline and describe how they're related Apply techniques to address challenges in each component of the data mining pipeline. Identify particular ...

In many application domains, such as social networks, business, and healthcare, increasingly large amounts of data are being collected requiring sophisticated computational tools to discover the ...

Identify the core functionalities of data modeling in the data mining pipeline. Apply techniques that can be used to accomplish the core functionalities of data modeling and explain how they work.

The government plans to amend copyright laws following a consultation on the use of artificial intelligence (AI) for technical innovation and creative works. As it advances and evolves, AI may very ...

Both Computer Science and Data Science are similar but have some key differences. Computer Science or CS enables one to study computer hardware and software. You can learn how to create software, ...