Data Warehousing and Data Mining detailed syllabus scheme for Information Technology (IT), 2017 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For 7th Sem Scheme of Information Technology (IT), 2017 Onwards, do visit IT 7th Sem Scheme, 2017 Onwards. For the Elective-IX scheme of 7th Sem 2017 onwards, refer to IT 7th Sem Elective-IX Scheme 2017 Onwards. The detail syllabus for data warehousing and data mining is as follows.
Data Warehousing and Data Mining Syllabus for Information Technology (IT) 4th Year 7th Sem 2017 DBATU
Lab Experiments Objective:
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Lab Experiments List:
- Creation of a Data Warehouse.
- Apriori Algorithm.
- FP-Growth Algorithm.
- K-means clustering.
- One Hierarchical clustering algorithm.
- Bayesian Classification.
- Decision Tree.
- Support Vector Machines.
- Applications of classification for web mining.
- Case Study on Text Mining or any commercial application.
For detail syllabus of all subjects of Information Technology (IT) 7th Sem 2017 onwards, visit IT 7th Sem Subjects of 2017 Onwards.