R23
CSE · 3-1
✓ VERIFIED VS. PUBLISHED SYLLABUS 2026-07-09
Data Warehousing and Data Mining JNTUK R23 · CSE · semester 3-1 · syllabus
This JNTUK R23 professional core course is listed for Computer Science and Engineering (CSE). It is listed in semester 3-1. It carries 3 credits. The published coverage runs across 5 units, from Data Warehousing and Online Analytical Processing through Cluster Analysis.
Verified vs. published syllabus
Checked
Offered in
| Branches | Semester | L | T | P | C |
|---|---|---|---|---|---|
| CSE | 3-1 | 3 | 0 | 0 | 3 |
SOURCE DOCKET
✓ Verified
Published evidence
- Source
- Official JNTUK syllabus jntuk.edu.in
- Checked
- Record
- 5 published units
Verification scopeSubject name, credits, unit-wise syllabus, and course outcomes are sourced directly from JNTUK's own official R23 course structure and syllabus document, not an autonomous college's adaptation.
What you'll be able to do
- Explain the concepts of data warehousing, OLAP, data cubes, cloud data warehouses, and data visualization to support decision-making
- Apply data preprocessing techniques, including cleaning, integration, transformation, reduction, and discretization, to prepare datasets for analysis
- Analyze classification problems using decision trees, Bayesian and rule-based classifiers, and evaluate models for accuracy and scalability
- Develop association rules from transactional data using algorithms such as Apriori and FP-Growth, and perform pruning and compact representation of frequent itemsets
- Analyze clustering techniques such as K-means, hierarchical clustering, and DBSCAN to group data and interpret the resulting clusters for knowledge discovery
5 units, from Data Warehousing and Online Analytical Processing to Cluster Analysis. Tick off units as you cover them — your progress stays on this device.