This course is not scheduled.
|Course code||DWC52AU||Delivery type||Instructor led|
|Duration||2.0 days||Course type||Public or Private on-site|
|Public price||Set by Partner|
This course is a subset of the course InfoSphere Warehouse 9 Components (DW352). It is designed to give you in-depth knowledge of the data mining and unstructured text analysis components of InfoSphere Warehouse. You will first be given a foundation in data mining. Then you will learn about the various types of data mining algorithms supported by InfoSphere Warehouses. Exercises will allow you to create mining flows that invoke the various mining algorithms. Much data resides in data warehouses in free-form text. Unstructured text analysis allows you to create dictionaries and extract relevant data from the text fields that can then be used to enhance a data mining run or to possibly add additional dimensions to a star schema.
The course is for students who will be using the data mining and unstructured text analysis components of InfoSphere Warehouse.
You should be familiar with DB2 and have attended InfoSphere Warehouse 9 - SQL Warehouse Tool and Administration Console (DWA52). Attendance in Infosphere Warehouse 9 - Cubing Services (DWB52) would be a benefit, but is not required.
A Data Mining Foundation
An Introduction to InfoSphere Intelligent Miner
InfoSphere Intelligent Miner Supported Mining Techniques
Unstructured Text Analytics