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Data Mining Techniques CS6220

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                                                                             Spring 2023

Welcome to Data Mining Techniques!  

The key objectives of this course are two-fold: (1) to teach the fundamental concepts of data mining and (2) to provide extensive hands-on experience in applying the concepts to real-world applications. The core topics to be covered in this course include classification, clustering, association analysis, and anomaly/novelty detection. This course consists of about 13 weeks of lecture, followed by 1 week of project presentations by students who will be responsible for developing and/or applying data mining techniques to applications such as intrusion detection, Web usage analysis, financial data analysis, text mining, bioinformatics, systems management, Earth Science, and other scientific and engineering areas. At the end of this course, students are expected to possess the fundamental skills needed to conduct their own research in data mining or to apply data mining techniques to production level engineering infrastructure. 

Course Reference: CRN 39065 (San Jose), CRN 39064 (San Francisco)

Course Information

This course starts on January 11.

There will be industry lecturers and engineering and venture capital leaders visiting throughout the course for networking opportunities.

Prerequisites

• Knowledge of basic computer science principles and skills, at a level sufficient to write a reasonably non-trivial computer program (e.g., CS107 or CS145 or equivalent are recommended).

• Good knowledge of Python will be helpful

• Knowledge of basic probability theory, statistics, linear algebra, and algorithmic analysis 

• Have taken: CS 5800: Algorithms and CS 7800: Advanced Algorithms

Teaching Staff

Professor: Karl Ni (k.ni@northeastern.edu)	TA San Jose: Pratyaksh Bhalla (bhalla.pr@northeastern.edu)	TA San Francisco: Kristine Umeh (umeh.k@northeastern.edu)