Mining Relational and Nonrelational Data with IBM Intelligent Miner for Data Using Oracle, SPSS, and SAS As Sample Data Sources

Intelligent Miner for Data enables users to mine structured data stored in conventional databases or flat files. Its
mining algorithms have been successfully used by customers and partners alike, to address business problems in
such areas as customer relationship marketing and fraud and abuse detection. It allows users to increasingly leverage
the data warehouse and more quickly derive business value from that investment.

This redbook will help to install, tailor and configure the IBM Intelligent Miner for Data and IBM DataJoiner products to
mine any non-IBM data sources. Oracle 8 and two non-relational ODBC data sources -- SPSS and SAS -- have been
used to demonstrate DataJoiner acting as a heterogeneous data server for Intelligent Miner in the AIX and Windows NT environments.

Not available.

Publish Date
18 December 1998

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Author(s)
Joerg Reinschmidt
Bhattacharya Rahul
Harris Paul
Kranasos Athanasios

ISBN
0738412333

IBM Form Number
SG24-5278-00

Number of pages
236