https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/ 2026-05-13T08:09:49+00:00 https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/ https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/_media/wiki:dokuwiki-128.png text/html 2007-08-01T13:57:34+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/contact?rev=1185976654&do=diff Contact Course Director * Bob J. Smith * Office: CSE 999 (Computer Science and Engineering Building) * Phone: (416) 736-2100 x. 11111 * Email: bobsmith AT cse DOT yorku DOT ca You may contact the course director by e-mail at any time. Teaching Assistants text/html 2007-07-31T19:53:17+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/course_outline?rev=1185911597&do=diff Course Outline The course outline is a guideline to topics that will be discussed in the course, and when they will be discussed: Week 1 Your notes here. Week 2 Midterm Drop Deadline Week 13 Final Exam text/html 2007-08-01T14:34:50+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/faq?rev=1185978890&do=diff Frequently Asked Questions Here, you can list frequently asked questions from your students along with responses. General Do I need to register for a CSE Computer Account? Yes. Do I need to attend class? If you wish to pass. Tests Do I need to write all tests? text/html 2007-08-02T17:22:57+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/forums?rev=1186075377&do=diff Forums This page acts as a future placeholder for a link to a forum system. text/html 2020-09-02T23:08:56+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/grades?rev=1599088136&do=diff Grades Under construction. This is a template! The weight distribution of the course components is as follows: * 25% - Assignment 1 * 25% - Midterm * 25% - Assignment 2 * 25% - Final Exam You can view your marks here. Conversion from numeric to letter grade is applied to the overall mark only and in accordance with the following departmental standard: text/html 2020-09-08T17:20:07+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/grading_scheme?rev=1599585607&do=diff Grading Scheme * Assignments (30%) * Course project (30%) * Paper review and presentation (in-class, online)(10%) * Final exam (20%) * Participation (10%) text/html 2007-07-31T17:53:24+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/important_dates?rev=1185904404&do=diff Important Dates Here, you would list important dates for your course. * Sept 1 - Assignment 1 Due * Oct 1 - Course finished text/html 2007-07-31T18:55:53+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/policies?rev=1185908153&do=diff Policies Here, you can list specific course policies. Academic Dishonesty For more information on Academic Dishonesty, click here. text/html 2020-09-08T03:47:15+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/resources?rev=1599536835&do=diff Resources Useful Online Resources. * Weka * UCI Machine Learning Repository * KDnuggets * KDD Cup Datasets * Data Mining Software, Applications and Tools * Open Source Software and Data Sets * Google Data Set Search Engine * Kaggle text/html 2024-03-08T14:02:31+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/sidebar?rev=1709906551&do=diff * Home * What's New * Textbook * Grading Scheme <!-- * Course Outline * Important Dates * Grades * Assignments * Assignment 1 * Assignment 2 * Assignment 3 --> <!-- * Forums --> <!-- * Contact --> <!-- * Policies --> * Resources <!-- * FAQs --> * Academic Dishonesty text/html 2020-09-08T03:29:49+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/start?rev=1599535789&do=diff EECS 6412 - Data Mining Description Data mining or knowledge discovery from databases (KDD) is one of the most active areas of research in computer science. It is at the intersection of AI/machine learning, database systems, statistics, and data visualization. In this course, we will introduce the concepts of data mining and present data mining algorithms and applications. Topics include association rule mining, sequential pattern mining, classification models, and clustering. text/html 2020-09-08T17:17:28+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/textbook?rev=1599585448&do=diff Reference Books No textbook is required for the course. The following are reference books: * Jiawei Han, Micheline Kamber and Jian Pei, Data Mining -- Concepts and Techniques, Morgan Kaufmann, Third Edition, 2011. * Charu C. Aggarwal, Data Mining, The Textbook, Springer, 2015. text/html 2020-10-31T01:57:07+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2020-21/F/6412/whats_new?rev=1604109427&do=diff What's New? October 30, 2020 Assignment 3 is posted on eClass. Please find it in the Assignments section in eClass. It is due Friday November 13 at 11:00pm, and accounts for 12% of your total mark. October 14, 2020 The list of potential topics for student presentations is posted on