While the technological uses of data mining
are attractive, there are several issues that must be addressed.
can also directly affect a business' bottom line by improving quality.
1 "Magic Quadrant for Customer Data Mining
, 1Q06," by Gareth Herschel, Gartner Inc.
Pentaho was an obvious choice, based on the strength of its data mining
technology, its team, and its clear leadership in open source BI.
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.
The Knowledge Discovery Center will be used to support these services and to provide an environment for demonstrating the latest data mining
tools and train clients in their use.
Touches on core data mining
techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more
But the head of the agency would still have to certify in writing that the data mining
was necessary and appropriate for a lawful purpose.
Users build a map of their data mining
project--called a "stream"--by selecting icons--called "nodes"--that represent steps in the process.