Difference between revisions of "Fall 2026: Data Mining-1"

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| style="width: 12%; " |  Unit-1  
 
| style="width: 12%; " |  Unit-1  
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| style="width: 60%" |  '''''Digital Forensics:''''':
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| style="width: 60%" |  '''''Introduction to Data Mining:'''''  
 
| style="width: 15%" | [unit1.pdf]   
 
| style="width: 15%" | [unit1.pdf]   
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| Chapter 1 (CB1)
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| Chapter 1  
 
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| Unit 2  
 
| Unit 2  
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|  '''''Windows OS Forensics:'''''
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|  '''''Data Pre-Processing:'''''
 
|  [unit2.pdf]   
 
|  [unit2.pdf]   
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| Chapter 2 (CB1)
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| Chapter 2  
 
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| Unit 3  
 
| Unit 3  
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|  '''''Evidence Recovery:'''''
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|  '''''Cluster Analysis:'''''
 
|  [unit3.pdf]   
 
|  [unit3.pdf]   
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| Chapter 6 (CB1)
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| Chapter 5
 
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| Unit 4
 
| Unit 4
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|  '''''Investigation:'''''  
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|  '''''Association Rule Mining:'''''  
 
|  [unit4.pdf]     
 
|  [unit4.pdf]     
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| Chapter 4 (CB1)
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| Chapter 4
 
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| Unit 5
 
| Unit 5
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|  '''''Cyber Crimes and Cyber Laws:'''''  
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|  '''''Classification:'''''  
 
| [unit5.pdf]   
 
| [unit5.pdf]   
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| Chapter 5 (CB1)
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| Chapter 3 & 6
 
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Revision as of 17:21, 29 July 2026

Logistics

  • Class Timings: Mondays 10:30 am - 12:30 pm Thursdays 8:30 am - 9:30 am
  • Classroom: Mondays (T-7) and Thursdays(T-11)
  • Lab Timings: Mondays 1:30 pm - 3:30 pm
  • Labs: Computer Lab 4 (CL-4)

Course Overview

Lectures

Lecture Topic Lecture Slides Readings
Unit-1 Introduction to Data Mining: [unit1.pdf] Chapter 1
Unit 2 Data Pre-Processing: [unit2.pdf] Chapter 2
Unit 3 Cluster Analysis: [unit3.pdf] Chapter 5
Unit 4 Association Rule Mining: [unit4.pdf] Chapter 4
Unit 5 Classification: [unit5.pdf] Chapter 3 & 6

Assignments and Tests

Class Assignments

  • Assignment No. 1,
  • Assignment No. 2,

Tests and Quizzes

  • Test 1 :
  • Test 2 :

Labs

Instructions

  • Please be on time to avoid the Attendance Penalty.
  • Please put your mobile phone on Silent Mode.
  • Each lab assignment needs to be submitted in the Google Classroom for evaluation(will be notified in the GC lab-wise, submit before the deadline).
  • Turn off(shut down) your assigned computer and arrange the chair before you leave the lab.

Lab 1 & 2: ( week of 27th July, 03rd & 10th August 2026 )

Task. No. Task Assessment Period Submission Deadline
1 & 2 Study of Network related Commands (Windows/Linux)
  • Network Discovery: - Ping, Traceroute/Tracert/Tracepath, Nmap, MTR/Pathping
  • Traffic Analysis: - Tcpdump/ptkmon/resmon(GUI Tool), Iftop/Bmon, Iperf
  • DNS/Domain Forensics: - Dig, Nslookup, Whois, Host
  • Host configuration:- Ifconfig/ip, SS/Netstat, Ethtool, Hostname
  • Address/Routing Analysis: - ARP/arp -a, Route/ route print, Iproute2
  • Data Transfer/File Retrieval: - wget, curl/curl.exe
 29/07/2026 - 12/08/2026 15/08/2026

Resources

References:

  • R1: Dejey, S. Murugan, Cyber Forensics, Oxford University Press, 2018.
  • R2: C. Altheide & H. Carvey, Digital Forensics with Open Source Tools, Syngress, 2011. ISBN: 9781597495868.
  • R3: Niranjan Reddy, Practical Cyber Forensics. An Incident-Based Approach to Forensic Investigations, Apress, 2019 (Available on DU eLibrary).
  • R4: Marjee T. Britz, Computer Forensics and Cyber Crime: An Introduction, Pearson Education, 2013.
  • R5: https://www.indiacode.nic.in/handle/123456789/1999?sam_handle=123456789/1362

Additional References:

  1. “Computer Forensics: Investigating Network Intrusions and Cybercrime” by Cameron H.
  2. Malin, Eoghan Casey, and James M. Aquilina Online Course Management System: https://esu.desire2learn.com/
  3. Computer Forensics, Computer Crime Investigation by John R., Vacca, Firewall Media, New Delhi.
  4. Computer Forensics and Investigations by Nelson, Phillips, Enfinger, Steuart, CENGAGE Learning
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