Department Events
Web Mining Lab
The course will enable the students to
- Acquaint students with web mining through WEKA tool.
- Analyse data with different web mining methods.
Course | Learning Outcome (at course level) | Learning and teaching strategies | Assessment Strategies | |
Course Code | Course Title | |||
24GBCA 201B | Web Mining Lab (Practical)
| CO85. Identify the need of data warehouse in web mining. CO86. Perform installation of WEKA tool to inspect data. CO87. Create and access datasets to implement mining. CO88. Compare the outputs of different models and select the best as per the application requirement CO89. Apply mining algorithms on datasets to analyse and visualize the results. CO90. Contribute effectively in course- specific interaction. | Approach in teaching: Interactive Lectures, Discussion, Tutorials, reading assignments, Demonstrations, G-suite.
Learning activities for the students: Self- learning assignments, Simulation, Seminar presentation, giving tasks, Performing practical | Class test, Semester end examinations, Quiz, Assignments, Presentation, Individual and group projects |
This course will be based on theory 24GBCA201B. 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
e -RESOURCES:
- https://youtu.be/9KFPB2LRnf4?list=PLaQ4ExxoPsDZj96MvExi7-ULeK1xoOaf_
- https://youtu.be/huhl1JZMW48?list=PLaQ4ExxoPsDZj96MvExi7-ULeK1xoOaf_
- https://slideplayer.com/slide/8189973/
- https://www.academia.edu/32208992/Web_Mining_Accomplishments_and_Future_Dir ections?auto=download
JOURNALS:
- International Journal of Mining Science and Technology, Elsevier
