Stony Brook University Logo Computer Science


Course CSE622
Title Advanced Database Systems

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.


Jiawei Han and Micheline Kamber, DATA MINING Concepts and Techniques, Morgan Kaufman Publishers, 2001.

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