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CSE 521

Data Mining Concepts and Techniques

Stony Brook University 3 credits CSE

Course Description

Data Mining is a new, promising and flourishing interdisciplinary field drawing work from areas including database technology, artificial intelligence, machine learning, pattern recognition, high-performance computing, and data visualization. It focuses on issues relating to the feasibility, usefulness, efficiency, and scalability of techniques for automated extraction of patterns representing knowledge implicitly stored in large databases, warehouses, and other massive information repositories. The course gives a broad, yet in-depth overview of the field of data mining and presents one or two techniques in rigorous detail. 3 credits Grading Letter graded (A, A-, B+, etc.)

Code
CSE 521
Credits
3
Subject
CSE

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