IT-603 (B) RGPV B.Tech
Data Mining (DM)
Previous year papers and the official syllabus are free to read, no account needed.
Previous Year Papers
1 paper, latest Jun 2025
Syllabus, notes and important questions for IT-603 (B)
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Data Warehousing 16 topics
- Need for data warehousing
- Basic elements of data warehousing
- Data Mart
- Data Warehouse Architecture
- Extract and load process
- Clean and Transform data
- $\text{Star}$, $\text{Snowflake}$ and $\text{Galaxy}$ schemas for multidimensional databases
- Fact and dimension data
- Partitioning strategy – horizontal and vertical partitioning
- Data Warehouse and OLAP technology
- Multidimensional data models and different OLAP operations
- OLAP server types: ROLAP, MOLAP
- Data Warehouse implementation
- Efficient computation of data cubes
- Processing of OLAP queries
- Indexing data
Unit 2 Data Mining 8 topics
- Data preprocessing
- Data integration and transformation
- Data reduction
- Discretization and concept‑hierarchy generation
- Basics of data mining
- Data mining techniques
- Knowledge Discovery Process (KDP)
- Applications and challenges of data mining
Unit 3 Mining Association Rules in Large Databases 7 topics
- Association rule mining
- Single‑dimensional Boolean association rules
- Multi‑level association rules
- Apriori algorithm
- FP‑Growth algorithm
- Time‑series mining association rules
- Latest trends in association‑rule mining
Unit 4 Classification and Clustering 10 topics
- Distance measures
- Types of clustering algorithms
- K‑Means algorithm
- Decision tree classification
- Bayesian classification
- Other classification methods
- Prediction
- Classifier accuracy
- Categorization of methods
- Outlier analysis
Unit 5 Web Mining and its Types 7 topics
- Introduction to web mining and its types
- Spatial mining
- Temporal mining
- Text mining
- Security issues in web mining
- Privacy issues in web mining
- Ethical issues in web mining