| Course |
CSE622 |
| Title |
Advanced Database Systems |
| Description |
The course will cover selected topics on the cutting edge of database technology, such as deductive database query languages and systems, object-oriented data models, persistent programming languages, heterogeneous databases, and advanced transaction models.
|
| Prerequisite |
CSE 532
|
| Credits |
3 - credits |
| Course Outcomes |
- Data Mining, called also Knowledge Discovery in Databases (KDD) is a new multidisciplinary field. It brings together research and ideas from database technology, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, information retrieval, high-performance computing, and data visualization. Its main focus is the automated extraction of patterns representing knowledge implicitly stored in large databases, data warehouses, and other massive information repositories.
- The course will closely follow the book and is designed to give a broad, yet in-depth overview of the Data Mining field and examine the most recognized techniques in a more rigorous detail.
|
| Textbook |
Jiawei Han and Micheline Kamber, DATA MINING Concepts and Techniques, Morgan Kaufman Publishers, 2001.
|
| Course Webpage |
|
