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 ...

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 ...

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 ...

Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

In the post-9/11 world, there's much focus on connecting the dots. Many believe data mining is the crystal ball that will enable us to uncover future terrorist plots. But even in the most wildly ...