WEB MINING LAB

Paper Code: 
GBCA 201B
Credits: 
03
Periods/week: 
06
Max. Marks: 
100.00
Objective: 

The course will enable the students to

  1. Acquaint students with web mining through WEKA tool.
  2. Analyze data with different web mining methods.

 

Course Outcomes (COs):

 

Learning Outcome (at course level)

Learning and teaching strategies

Assessment Strategies

The students will:

CO 72.Investigate the need for mining web data through various real-life scenarios

CO 73.Perform installation of WEKA tool to inspect data

CO 74.Create and access datasets to implement mining.

CO 75.Compare the outputs of different models and select the best as per the application requirement

CO 76.Apply mining algorithms on datasets to analyze and visualize the results

 

Interactive Lectures, Discussion, Tutorials, reading assignments, Demonstrations,  G-suite. Self-learning assignments, Effective questions, Simulation, Seminar presentation, giving tasks, Performing practical

 

 

 

 

 

 

 

 

Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects

 

 

This paper will be based on theory paper. Exercises given will be covering entire syllabi as follows:

·  Data Warehouse: introduction and its significance.

  • Installation of WEKA tool
  • Preparation of training data
  • Data files supported by WEKA
  • Data types
  • Exercises related to Preprocessing
  • Exercises related to Classification

Exercises related to Clustering

Academic Year: 
2021-22
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