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, ...

Incomplete data affects classification accuracy and hinders effective data mining. The following techniques are effective for working with incomplete data. The ISOM-DH model handles incomplete data ...

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 ...

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 ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Analytics initiatives are not failure proof. In practice, they fail often. Bernard Marr, Forbes contributor and author of Big Data: Using SMART Big Data, Analytics and Metrics to Make Better Decisions ...