Book Description
Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMSs and data mining/analysis software, is a key solution component. And this book is the essential guide to the usage of the JDM standard interface. The reference that will help you produce applications with advanced analytics and predictive analytic capabilities. The first and authoritative guide to JDM, written by contributors to the JDM standard.
The book discusses and illustrates how to solve real problems using the JDM API. The authors provide you with:
• an overview of data mining and JDM’s place in strategic solutions to data mining-related problems;
• JDM's essentials—the design approach and design issues, with detailed code examples; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects;
• JDM in practice—the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure. Here, we illustrate how to build applications that use the JDM API.
Mark F. Hornick is a senior manager of Data Mining Technologies at Oracle Corporation. He has lead the Java Data Mining (JSR-73) expert group since July of 2000, and now the JSR-247 expert group working towards JDM 2.0. Mark brings 20 years experience in the design and implementation of advanced software systems. Erik Marcade is Founder and Chief Technical Officer of KXEN, which provides next generation business analytics software, and a member of the JSR-73 and JSR-247 expert group. Sunil Venkayala, is a J2EE and XML group leader and a Principal Member of Technical Staff at Oracle Corporation. Sunil is also an expert group member of Java Data Mining (JDM) standard developed under JSR-73 and JSR-247.
