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 ...

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.

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 ...

Self-service data exploration by line-of-business analysts is an ideal that has been elusive in the world of big data. Whether hampered by issues with hardware or data-set tuning, business analysts ...

Companies across every industry increasingly understand that making data-driven decisions is a necessity to compete now, in the next five years, in the next 20 and beyond. Data growth — unstructured ...

The problem: Your mobile app just went viral, and you’ve got a boatload of new users flooding your servers with a bazillion packets of data. How can you store this firehose of sensor data? Is there a ...

Text and Data Mining (TDM) is the practice of using technology to scan large amounts of data or text in order to identify themes, issues and correlations across different publications. This is ...

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 Moreover, unique (and unpublished) database schemas per tool require ...