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 ...

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 ...

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.

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 ...

A marketing database supports sophisticated data mining and an operational database does not. Sophisticated data mining, in turn, is impossible without the ability to recreate multiple ...

What tools are included in the data-mining solution to help construct the data-mining database? Premining data preparation entails considerable effort. Consider choosing a solution that includes ...

This concentration prepares students to utilize collected data to make predictions and discern in them patterns of objects being observed. Statistical analyses, along with forecasting 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 ...

State and federal educational databases provide countless opportunities for private companies exploiting public schoolchildren subjected to annual assessments, which exploded after adoption of the ...