Publishing data about individuals without revealing sensitive information about them is an important problem. Distributed data mining applications, such as those dealing with health care, finance, ...

LONDON--(BUSINESS WIRE)--Quantzig, a global data analytics and advisory firm, that delivers actionable analytics solutions to resolve complex business problems has announced the completion of its ...

Oracle Corp. announced today that its Globally Distributed Autonomous Database is generally available. Aimed at customers that have strict data sovereignty requirements, usually because of regulations ...

In general, the goal of data mining is to extract knowledge from data. Data mining is an inter-disciplinary field, whose core is at the intersection of machine learning, statistics and databases.

Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships. Organizations today are gathering ever-growing volumes of ...

LONDON--(BUSINESS WIRE)--Quantzig, a leading analytics advisory firm that delivers customized analytics solutions, has announced the completion of its free resource that highlights the importance of ...

Identify the key components of the data mining pipeline and describe how they're related Apply techniques to address challenges in each component of the data mining pipeline. Identify particular ...

The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables. "Jump ...