WEB MINING LAB

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

Course Outcome (at course level)

Learning and teaching strategies

Assessment Strategies

The students will:

CO72. Investigate the need for mining web data through various real-life scenarios

CO73. Perform installation of WEKA tool to inspect data

CO74. Create and access datasets to implement mining.

CO75. Compare the outputs of different models and select the best as per the application requirement

CO76. 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

 

Unit I: 
ESSENTIAL READINGS: 

E-RESOURCES:

  1. https://youtu.be/9KFPB2LRnf4?list=PLaQ4ExxoPsDZj96MvExi7-ULeK1xoOaf_
  2. https://youtu.be/huhl1JZMW48?list=PLaQ4ExxoPsDZj96MvExi7-ULeK1xoOaf_
  3. https://slideplayer.com/slide/8189973/
  4. https://www.academia.edu/32208992/Web_Mining_Accomplishments_and_Future_Directions?auto=download

 

Academic Year: 
2023-24
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