Traditionally, enterprise data has been kept in information silos that are physically separate from other data repositories and serve specialized functions. Enterprise-wide reporting was difficult at ...

The second step in data mining process is the application of various modeling techniques. These are used to calibrate the parameters to optimal values. Techniques employed largely depend on analytic ...

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Natalya Yashina is a CPA, DASM with over 12 years of experience in ...

We are living in an increasingly interconnected world – not just in the number of digital devices, but also in how actions can have dozens, if not hundreds or more consequences that cascade through a ...

Data mining is a growing field of research at the nexus of computer science and statistics. With the advent of the Internet and remote sensing, the challenges of manipulating and learning from “big ...

A variety of software products and services are being introduced to analyze complex biological and chemical data in an intuitive and efficient manner. Data mining has been defined as “the nontrivial ...

Data mining has been defined as “the nontrivial extraction of implicit, previously unknown, and potentially useful information from data”. 1 In areas other than the life sciences and healthcare, data ...