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Featured Reviews
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 SqlSpec |
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Includes a comment editor supporting SQL Server, Oracle, and more.
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| Universal SQL Editor |
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Support Oracle, DB2, SQL Server, Sybase and other ODBC databases.
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| Softerra LDAP Browser |
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A premier explorer like LDAP client designed for Windows and admins.
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| Secure Auditor |
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IT security assessment software which performs database auditing.
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| DBA Easy Control |
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A unique versatile database management suite for Oracle DBA.
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| Secure Bytes |
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Solution for conducting automated audits on Windows, Oracle and SQL.
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| DB2 Intelligent Miner Modeling |
| By using DB2 Intelligent
Miner Modeling, you can discover hidden relationships in
your data without exporting data to a special data mining
computer or resorting to small samples of data. DB2 Intelligent
Miner Modeling delivers DB2 Extenders for the following
modeling operations: Associations discovery. Application
examples include the discovery of product associations in
a market basket analysis, site visit patterns an eCommerce
site, or combinations of financial offerings purchased.
Demographic clustering.
Application examples include
market segmentation, store profiling, and buying-behavior
patterns. Tree classification. Application examples include
profiling customers based on a desired outcome such as propensity
to buy, projected spending level, and the likelihood of
attrition within a period of time. DB2 Intelligent Miner
Modeling is a sophisticated SQL extension of the DB2 database
and enables modeling functions to be imbedded into business
applications.
DB2 Intelligent Miner Modeling
supports the development of data mining models in a format
which conforms with Predictive Model Markup Language (PMML)
V2.0, the new industry standard for analytic models. When
new relationships are discovered, DB2 Intelligent Miner
Scoring allows you to apply the new relationships in your
data to new data in real-time. Data-mining model-analysis
is available via DB2 Intelligent Miner Visualizer, a Java-based
results browser. It allows even non-experts to view and
evaluate the results of the data-mining modeling-process. |
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