https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/ 2026-05-12T07:06:50+00:00 https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/ https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/lib/tpl/dokuwiki/images/favicon.ico text/html 2014-09-07T16:29:55+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/books_monographs_theses?rev=1410107395&do=diff text/html 2014-11-17T16:33:41+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/calendar.pdf?rev=1416242021&do=diff Course Calendar * [CSE4412 course calendar] text/html 2014-07-21T19:21:13+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/contact?rev=1405970473&do=diff Contact Course Director * Nick Cercone * Office: Lassonde (LAS) 3050 (Lassonde Computer Science Building) * Phone: (416) 736-2100 ext5 44782 * Email: nick.cercone@lassonde.yorku.ca You may contact the course director by e-mail at any time. text/html 2014-09-08T17:46:27+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/course_outline?rev=1410198387&do=diff Course Outline wiki: <https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/> Course Description, Learning Objectives, Grading, Materials Course Description: Data mining is computationally intelligent extraction of interesting, useful and previously unknown knowledge from large databases. It is a highly inter-disciplinary area representing the confluence of machine learning, statistics, database systems and high-performance computing. This course introduces the fundamental concepts of dat… text/html 2007-08-01T14:34:50+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/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/2014-15/F/4412/forums?rev=1186075377&do=diff Forums This page acts as a future placeholder for a link to a forum system. text/html 2014-08-22T15:11:21+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/grades?rev=1408720281&do=diff Grades * Grading – Undergraduates (CSE 4412): * The course will be graded on the basis of one minor and substantial assignment (10% * and 15%), one in-class presentation (10%), one final exam (25%) and one project (40%). * * Grading – Graduate Students ( text/html 2014-11-09T22:44:21+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/handouts?rev=1415573061&do=diff Handouts *General [active reading] [paper writing] [representational typology] [introduction to machine learning concepts] [heuristics] [logic] [data mining tasks] [rough sets introduction] *Early data mining - the DBLEARN family [Yandong Cai's thesis - DBLEARN] [Learning in relational databases: an attribute-oriented approach] [Knowledge Discovery in Databases: An Attribute-Oriented Approach] [The Software Architecture of DBLEARN] [Performance Improvement in the Implementation … text/html 2014-10-16T13:39:19+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/important_dates?rev=1413466759&do=diff Important Dates * Sept 9 - Assignment initial out and due in class; Assignment 1 (small) out * * Oct 14 - Assignment 2 (big) out * Oct 16 - Assignment 1 (small) due in class * * Oct 23 - First Project write-up due (possible project, scope of project, etc.) text/html 2014-11-27T17:40:59+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/lectures?rev=1417110059&do=diff * class lectures * [|Lecture 1 - Introduction to Data Mining] * [|Lecture 2 - Continue with Introduction, data mining concepts] * [Lecture 2 example- Visualization] * [Lecture 3 - Introduction to Preprocessing] * [Lecture 4 - Introduction to Data Warehouses and Data Cubes, DBLEARN] * [Lecture 5 - Introduction to Rough Sets] * [Lecture 5+ - Approximating Answers - Guest Graham Toppin] * [Lecture 6 - Association Rule Mining - Guest Aijun An] * [Lecture 7 - … text/html 2007-07-31T18:55:53+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/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 2014-10-16T13:21:52+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/presentations?rev=1413465712&do=diff Student Presentations * [ - Student Presentation Information and grading] * [ - Student Presentations Assignments] * [ - Student Presentation Grading] text/html 2014-10-15T20:09:21+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/projects?rev=1413403761&do=diff Project Suggestions [Project suggestions] Project Grading [Project Grading] Project Examples York EECS 6339 computational linguistics sample projects [Classification of Movie Reviews using Character N-­‐gram] [Classification of Movie Reviews Based on Character N-­‐gram] [Finding Best Match in Virtual Database Using Semantic Matching Algorithms] [Detection of Stress by Voice & Textual Information Analysis] Stanford examples [Large-scale Profiling of Movie Scenes and Charac… text/html 2014-09-16T16:09:27+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/related_material?rev=1410883767&do=diff Seminal Papers * [Top 10 algorithms in data mining - Wu et al.] * [PageRank algorithm - Brin & Page] * [From data mining to KDD - Fayyad et al.] * [random forests - Leo Breiman] * [Inductive Inference: Theory and Methods - Angluin & Smith] * [Theory of Inductive Inference I - Ray Solomonoff] * [Theory of Inductive Inference II - Ray Solomonoff] * [Two Kinds of Probabilistic Induction - Ray Solomonoff] * [Language Identification in the Limit - Mark Gold] * [… text/html 2007-07-31T18:59:29+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/resources?rev=1185908369&do=diff Resources Use this page to list additional Resources that may be helpful to your students. * Department of CSE Home Page * York Exam Schedule text/html 2024-03-08T14:02:31+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/sidebar?rev=1709906551&do=diff * What's New * Course Outline * Important Dates * Calendar * Grades * Assignments * Presentations * Forums * Contact * Policies * Resources * Lectures * Handouts * Projects * Related Material * FAQs * Academic Dishonesty text/html 2014-08-15T18:27:50+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/start?rev=1408127270&do=diff Your Course Description The course lays the conceptual foundation of data (and text) mining. Lecture Times * Tuesdays and Thursdays, 13:00am - 14:20pm text/html 2014-07-21T19:12:27+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/textbook?rev=1405969947&do=diff Textbook You will not require a textbook for this course, material will be supplied to you. Please look under books for useful books, under papers for useful papers and under handouts for other course material text/html 2014-11-17T16:34:36+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2014-15/F/4412/whats_new?rev=1416242076&do=diff What's New? 9 Sept 2014: Assignment initial(0) and small(1) given. Assignment initial(0) collected. 11 Sept 2014: added DBLEARN family stuff; enhanced handouts; updated calendar 16 Sept 2014: added rough sets materials, updated calendar, added basic stuff