WEB MINING LAB

Paper Code: 
GBCA 201B
Credits: 
3
Periods/week: 
6
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

CO 67 Describe the need for mining web data through various scenarios

CO 68 Implement preprocessing on data before applying mining

CO 69 Installation of WEKA tool.

CO 70 Create and access datasets to implement mining.

CO 71 Perform classification on preprocessed data through WEKA and analyze the results

CO 72 Perform clustering on preprocessed data through WEKA and analyze the results

Interactive Lectures, Discussion, Tutorials, reading assignments, Demonstrations, Team teaching, Teaching using advanced IT audio-video tools, 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: 
2020-21
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