Difference between revisions of "Spring 2023: Data Mining"

Revision as of 22:51, 31 January 2023

Class Timings: Wednesdays 1:00 pm - 3:00 pm (5^th and 6^th slot)and Thursdays 10:45 am - 12:45 pm (3^rd and 4^th slot)
Classroom: R33
Lab Timings: Mondays 8:45 am - 12:45 pm (1^st - 4^thslots)
Labs: CS Lab 5

Lecture	Topic	Lecture Slides	Readings
Unit1/Chapter1	Introduction: 1.1 - What Is Data Mining? 1.2 Challenges 1.3 Data Mining Origins 1.4 Data Mining Tasks	Introduction.pdf	Chapter 1 (R1)

Assignment No. 1, Uploaded on Google Classroom, Submission Deadline: 01/11/2022.
Group Assignment/ Presentations

R1: Learning PHP, MySQL, JavaScript, CSS & HTML5, (Robin Nixon), 3rd Edition, O’Reilly Media.
R2: JavaScript and JQuery – Interactive Front-end Web Development, (Jon Duckett), John Wiley and Sons, Inc.
R3: Web Design with HTML and CSS Digital Classroom, (Jeremy Osborn, Jemmifer Smith and AGI Creative Team), Wiley Publishing, Inc.

@@ Line 16: / Line 16: @@
 !Readings
 |-
-| style="width: 10%; " | Unit/Chapter 1.3 (26/07/22)
+| style="width: 10%; " | Unit1/Chapter1
-| style="width: 60%" |  '''''Introduction to Internet''''': What is Internet? Evolution of the Internet. Working of the Internet. Difference between Intranet and Internet.
+| style="width: 60%" |  '''''Introduction''''': 1.1 - What Is Data Mining? 1.2 Challenges 1.3 Data Mining Origins 1.4 Data Mining Tasks
 | style="width: 15%" | [http://mkbhandari.com/mkwiki/data/spring2023/DM/1Intro.pdf '''Introduction.pdf''']
 | Chapter 1 (R1)