Data mining techniques have already been successfully applied in a wide range of applications including direct marketing, fraud detection, analysis of web logs, and analysis of genome data. Knowledge ...

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 ...

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

There are many facets of data mining, which includes using information for a database for anything from increasing a business's revenue to developing better healthcare infrastructures. (Kaleena ...

Data mining uncovers patterns in large data sets, revealing valuable insights for decision-making.

OLAP is thus a database technology that has evolved to be an important category that supports business intelligence and encompasses relational database and data mining.

With enterprises operating out of multiple geographic locations, multi-database mining is becoming important for effective and informed decision making. The following data mining techniques will ...

Researchers combine machine learning with data mining methods to create a record-breaking underwater adhesive hydrogel ...