Data Warehousing and Data Mining Lab
Subject Code- CIE 425P
Introduction
The Data Warehousing and Data Mining Lab of CSE Department is a research facility dedicated to the study and application of advanced techniques in data management and analytics. The lab focuses on the design and implementation of data warehousing systems, encompassing data integration, ETL (Extract, Transform, Load) processes, and the optimization of data storage solutions for efficient analytical querying. Additionally, the lab explores a range of data mining methodologies, including classification, clustering, association rule mining, and anomaly detection, to extract valuable insights from large and complex datasets. The primary objective of the lab is to enhance the understanding of data storage, processing, and analysis, with the aim of providing actionable insights that support decision-making, process optimization, and innovation across diverse engineering fields.
Objective of the Laboratory
- To understand the need of data warehousing for data analysis.
- To understand and apply OLAP operations.
- To identify the need of various data mining techniques.
- To apply various data mining techniques.
Facilities
Simulation Facilities: Weka
People
- Faculty Coordinator: Ms. Nitasha Rathore
- Other Faculty Users: Dr. Deepika Kumar, Mr. Mohit Tiwari
- Lab Technician: Mr. Prateek Bhatia