Is there gold in them there mountains of data? The average large enterprise has terabytes of data on hand — customer information, supplier exchanges, and internal company records that contain data.

Knowledge discovery and data mining have become areas of growing significance because of the recent increasing demand for KDD techniques, including those used in machine learning, databases, ...

Data mining and knowledge discovery refers to the systematic process of extracting useful patterns, trends and models from large and complex data sets. At its heart lies a cycle of problem definition, ...

In many domains, data now arrives faster than we are able to mine it. To avoid wasting this data, we must switch from the traditional “one-shot” data mining approach to systems that are able to mine ...

Because data is stored in tools in different formats, cross-tool metrics require data normalization to make sense of it all. Moreover, unique (and unpublished) database schemas per tool require ...