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Data mining is an innovative way of gaining new and valuable business insights by analyzing the information held in your company database. These insights can enable you to identify market niches, and they support and facilitate the making of well-informed business decisions. Essentially, data mining is a groundbreaking way to leverage the information that your company already has in order to plan a business strategy for the future.
Data mining uncovers this in-depth business intelligence by using advanced analytical and modeling techniques. With data mining, you can ask far more sophisticated questions of your data than you can with conventional querying methods. The information that data mining provides can lead to an immense improvement in the quality and dependability of business decision-making.
The new challenge of integrated solutions is to get more knowledge from data in order to build the most valuable solutions. This series of IBM tutorials can help address the business issues by real usage experience and to position the value of DB2 Intelligent Miner in a Business Intelligence (BI) architecture. IBM positions its mining technology as an integrated part of its DB2 BI platform. Using Intelligent Miner's APIs you can integrate mining functionality into your business applications.
The tutorials are designed to guide application designers and application developers through the process of gaining insight from data mining analysis to applying it in end user applications. Practical examples show how business problems can be addressed with mining analytics. Application developers can use the sample applications as templates to reduce the delivery time of their own business intelligence applications.
Do these tutorials on your own time, check out the associated references listed with each tutorial, and visit the data mining pages of the DB2 Information Center. If you are new to the domain of data mining, you should work through the tutorials sequentially.
Applying Data Mining to Solve Business Problems
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Mining
your Business in Retail with IBM DB2 Intelligent Miner
This tutorial shows you how to apply data mining techniques using IBM DB2 Intelligent Miner Modeling to generate automatically product recommendations for customers in a possible e-commerce shop environment. -
Solving
Business Problems with IBM DB2 Intelligent Miner
This tutorial shows you how to generate explanations for business problems in the manufacturing industry by applying Intelligent Miner Modeling to corporate data. It also shows you how to display the results with Intelligent Miner Visualization.
Integrating Mining Techniques into Business Applications
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Building
a Data Mining Solution Using IBM Intelligent Miner Modeling and WebSphere
The objective of this tutorial is to get you confident with the problem of handling multiple mining tasks at the same time in your J2EE Web application. The tutorial also demonstrates how to use the Easy Mining Procedures interface of Intelligent Miner Modeling to handle these mining tasks. -
Integrating IBM DB2 Intelligent Miner Visualization into your Web Application
This tutorial shows you how to deploy IBM DB2 Intelligent Miner Visualization (IM Visualization) as an integrated part of your web application. -
Building
a Data Mining Solution Using IBM Intelligent Miner Scoring and WebSphere
The objective of this tutorial is to get you confident with executing Intelligent Miner Scoring statements from a J2EE Web application. The calculation and presentation of the scoring results is done in real time.
Working with the DB2 Intelligent Miner Plug-in for WebSphere Studio Application Developer
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WebSphere
Studio Application Developer Plug-In for Intelligent Miner
This tutorial shows you how to use the Data Mining Plug-In for WebSphere Studio Application Developer. You will learn how to design a data mining flow diagram with the graphical user interface of the Plug-In, which will be used for scoring.
