CRISP-DM (CRoss-Industry Standard Process for Data Mining
) is a non-proprietary, documented and freely available data mining
Selecting just one of the definitions is not as important as realizing that people will use the term data mining
in at least the four ways described in the sidebar.
While data mining
tools can identify information that is useful for future planning, data mining
can also be very useful for detecting fraudulent (theft or invoice manipulations) or high-risk activities (bad loans, investments).
For instance, data mining
can help them identify such key elements in a case or series of events as patterns of time and location--by forecasting future events based on this historical data, agencies potentially could anticipate strategic locations for deployment.
Written in C for Windows, Linux or Solaris platforms, NAG Data Mining
Components can extract data from flat files or OBDC compliant databases.
One of the key challenges is integrating tons of data in the mainframe data warehouse with business-specific data in data marts on the open systems client-server platform, said Kent Bauer, director of data mining
and analytics at Axa Financial.
s enterprise-strength data mining
workbench, helps businesses improve the profitability of customer relationships through in-depth understanding of data.
tools are especially important for marketing departments because marketing efforts succeed when they single out customer segments with high profit potential.