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, ...

The sheer volume of ‘Big Data’ produced today by various sectors is beginning to overwhelm even the extremely efficient computational techniques developed to sift through all that information. But a ...

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 ...

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.

For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving toward a world of distributed data centers.

In the digital age, where data is often referred to as the "new oil," the ability to extract meaningful insights from massive datasets has become a cornerstone of innovation. Data mining—the process ...

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 ...

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 ...