Data warehousing and data mining lab manual

  • What is the methodology of data warehouse and data mining?

    Data warehousing is a method of organizing and compiling data into one database, whereas data mining deals with fetching important data from databases.
    Data mining attempts to depict meaningful patterns through a dependency on the data that is compiled in the data warehouse..

  • In Data Mining Lab, we perform interesting research projects on key models, algorithms, and systems for artificial intelligence (AI), knowledge discovery, and machine learning.

How do I learn data mining in Pentaho?

Pentaho Data Integration Tool, Pentaho Business Analytics)

2

Learn to perform data mining tasks using a data mining toolkit (such as open source WEKA)

3

Understand the data sets and data preprocessing

4

Demonstrate the working of algorithms for data mining tasks such association rule mining, classification, clustering and regression

5

What is a data mining module?

This module communicates between users and the data mining system,allowing the user to interact with the system by specifying a data mining query or task, providing information to help focus the search, and performing exploratory datamining based on the intermediate data mining results

What is a r15a data warehouse & mining course?

COURSE NAME: DATA WAREHOUSING AND MINING LAB COURSE CODE: R15A COURSE OBJECTIVES: 1

Learn how to build a data warehouse and query it (using open source tools like Pentaho Data Integration Tool, Pentaho Business Analytics)

2

Learn to perform data mining tasks using a data mining toolkit (such as open source WEKA)

3

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