Sunil Venkayala is a J2EE and XML group leader and principal member of technical staff at Oracle Data Mining Technologies group. He is an expert group member of the Java Data Mining (JDM) standard developed under JSR-73. Sunil has more than five years of experience in developing applications using predictive technologies available in the Oracle Database. He has more than seven years of experience working with Java and Internet technologies.
With the standardization of the Java Data Mining (JDM) API, Enterprise Java
applications have been given predictive technologies.
Data mining is a widely accepted technology used for extracting hidden
patterns from data. It is used to solve many business problems like
identifying cross-sell or up-sell opportunities for specific customers based
on customer profiles and purchase patterns, predicting which customers are
likely to churn, creating effective product campaigns, detecting fraud, and
finding natural segments.
More and more data mining algorithms are being embedded in databases.
Advanced analytics, like data mining, is now widely integrated with
applications. The objective of this article is to introduce Java developers
to data mining and explain how the JDM stan... (more)
Sunil Venkayala is a J2EE and XML group leader and principal member of technical staff at Oracle Data Mining Technologies group. He is an expert group member of the Java Data Mining (JDM) standard developed under JSR-73. Sunil has more than five years of experience in developing applications using predictive technologies available in the Oracle Database. He has more than seven years of experience working with Java and Internet technologies.
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