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| − | == Logistics ==
| + | AP Spring 2023 |
| − | *Class Timings: '''Fridays''' 1:00 pm - 3:00 pm (5<sup>th</sup> and 6<sup>th</sup> slot)
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| − | *Classroom: R34
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| − | *Lab Timings: '''Thursdays''' 1:00 pm - 5:00 pm (5<sup>th</sup> - 8<sup>th</sup>slots)
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| − | *Labs: CS Lab 3
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| − | | |
| − | == Course Overview ==
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| − | * As per the Delhi University [http://cs.du.ac.in/uploads/ug_guidelines/BSc-H-CS/V/BHCS11-Internet%20Technologies1.pdf Course Guidelines]
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| − | | |
| − | == Lectures ==
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| − | {| class="wikitable" style="text-align: left; width: 100%";
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| − | |-
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| − | !Lecture
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| − | !Topic
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| − | !Lecture Slides
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| − | !Readings
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| − | | style="width: 10%; " | Unit 1 / Chapter 1
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| − | | style="width: 60%" | '''''Introduction''''': 1.1 - What Is Data Mining? 1.2 Challenges 1.3 Data Mining Origins 1.4 Data Mining Tasks
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| − | | style="width: 15%" | [http://mkbhandari.com/mkwiki/data/spring2023/DM/1Intro.pdf '''1Intro.pdf''']
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| − | | Chapter 1 (CB1)
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| − | | Unit 2 / Chapter 2
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| − | | '''''Data mining techniques''''':
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| − | | [http://mkbhandari.com/mkwiki/data/spring2023/DM/2dmt.pdf '''2DMT.pdf''']
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| − | | Chapter 2 (CB2)
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| − | |}
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| − | | |
| − | == Assignments and Tests==
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| − | ===Class Assignments===
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| − | * '''''Assignment No. 1''''',
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| − | * '''''Assignment No. 2''''',
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| − | ===Tests and Quizzes===
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| − | * '''Test 1''' :
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| − | * '''Quiz 1''' :
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| − | == Resources ==
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| − | ===Course Books:===
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| − | * '''CB1''': Introduction to Data Mining, Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Pearson Education. <br>
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| − | ===References:===
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| − | * '''R2''': Data Mining: Concepts and Techniques, 3nd edition,Jiawei Han and Micheline Kamber. <br>
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| − | * '''R3''': Data Mining: A Tutorial Based Primer, Richard Roiger, Michael Geatz, Pearson Education 2003. <br>
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| − | * '''R4''': Introduction to Data Mining with Case Studies, G.K. Gupta, PHI 2006. <br>
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| − | * '''R5''': Insight into Data mining: Theory and Practice, Soman K. P., DiwakarShyam, Ajay V., PHI 2006
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