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 ...

A few days ago, we highlighted the drastic privacy implications of new guidelines issued to govern data-mining by the National Counterterrorism Center (“NCTC”). Yesterday, we testified to Congress ...

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 ...

1. Can existing data and infrastructure support the proposed data-mining tool? Some solutions will require a separate server for analysis, which could increase the expenditure by adding server ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

Is there gold in them there mountains of data? The average large enterprise has terabytes of data on hand — customer information, supplier exchanges, and internal company records that contain data.

Because data is stored in tools in different formats, cross-tool metrics require data normalization to make sense of it all. Moreover, unique (and unpublished) database schemas per tool require ...

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL ...