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DATA WAREHOUSING AND MINING LAB- INDEX. S.No. Experiment Name. 1. Unit-I Build Data Warehouse and Explore WEKA. 2. Unit-II Perform data preprocessing tasks Data mining techniques to identify customer segments and understand their buying behavior and to use standard databases available to understand DM processes It is my great pleasure to present this laboratory manual for FINAL YEAR practical/Lab Sessions related Data warehousing and data mining covering Try reduced error pruning for training your Decision Trees using cross -validation (you can do this in Weka) and report the Decision Tree you obtain? Also, Aim: This experiment illustrates some of the basic data preprocessing operations that can be performed using WEKA-Explorer. The sample dataset used for this WEKA). 3. Understand the data sets and data preprocessing. 4. Demonstrate the working of algorithms for data mining tasks such association rule WEKA). 3. Understand the data sets and data preprocessing. 4. Demonstrate the working of algorithms for data mining tasks such association rule LAB MANUAL. DATA Create an Employee Table with the help of Data Mining Tool WEKA. 8) Click on edit button which shows employee table on weka. Citation preview. [DATA MINING LAB] [MGIT] [IV/IV INDEX S.NO Name of the Experiment Page No 1. Fundamentals of Data Mining 3 2. Introduction to WEKA