Fall 2026: Data Mining-1 - Revision history

Mkwiki: /* Lab 3: ( week of 21st September 2026 ) */

2026-07-29T12:06:57Z

Lab 3: ( week of 21st September 2026 )

Mkwiki at 12:06, 29 July 2026

2026-07-29T12:06:15Z

Mkwiki: /* Lab 1: ( week of 24th & 31st Auguest 2026 ) */

2026-07-29T12:02:14Z

Lab 1: ( week of 24th & 31st Auguest 2026 )

Mkwiki: /* Lab 1: ( week of 25th August & 01st September 2025 ) */

2026-07-29T12:01:19Z

Lab 1: ( week of 25th August & 01st September 2025 )

Mkwiki: /* Lab 0: Getting Started ( week of 03rd, 10th & 17th August 2026 ) */

2026-07-29T11:59:30Z

Lab 0: Getting Started ( week of 03rd, 10th & 17th August 2026 )

Mkwiki at 11:59, 29 July 2026

2026-07-29T11:59:13Z

Mkwiki at 11:58, 29 July 2026

2026-07-29T11:58:18Z

Mkwiki: /* Resources */

2026-07-29T11:56:20Z

Resources

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

2026-07-29T11:53:07Z

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

Mkwiki: /* Lectures */

2026-07-29T11:51:00Z

Lectures

@@ Line 105: / Line 105: @@
 |}
-=== '''Lab 3: ''' ( week of 21<sup>st</sup> September 2026  ) ===
+=== '''Lab 3: ''' ( week of 21<sup>st</sup> & 28<sup>th</sup>  September 2026  ) ===
 {| class="wikitable" style="text-align: justify;
 |-

@@ Line 77: / Line 77: @@
 |}
-=== '''Lab 1: ''' ( week of 24<sup>th</sup> & 31<sup>st</sup> Auguest 2026  ) ===
+=== '''Lab 1: ''' ( week of 24<sup>th</sup> & 31<sup>st</sup> August 2026  ) ===
 {| class="wikitable" style="text-align: justify;
 |-
@@ Line 91: / Line 91: @@
 |}
-=== '''Lab 2: ''' ( week of 08<sup>th</sup> & 15<sup>th</sup> September 2025  ) ===
+=== '''Lab 2: ''' ( week of 07<sup>th</sup> & 14<sup>th</sup> September 2026  ) ===
 {| class="wikitable" style="text-align: justify;
 |-
@@ Line 101: / Line 101: @@
 | style="width: 8%" style="text-align: center;   | 2
 | style="width: 60%" | Apply data pre-processing techniques such as standardization/normalization, transformation, aggregation, discretization/binarization, sampling etc. on any dataset
-| style="width: 15%" |  08/09/2025 - 15/09/2025
+| style="width: 15%" |  07/09/2026 - 14/09/2026
 | 22/09/2025
 |}
-=== '''Lab 3: ''' ( week of 22<sup>nd</sup> September 2025  ) ===
+=== '''Lab 3: ''' ( week of 21<sup>st</sup> September 2026  ) ===
 {| class="wikitable" style="text-align: justify;
 |-
@@ Line 115: / Line 115: @@
 | style="width: 8%" style="text-align: center;   | 5
 | style="width: 60%" | Apply simple K-means algorithm for clustering any dataset. Compare the performance of clusters by varying the algorithm parameters. For a given set of parameters, plot a line graph depicting MSE obtained after each iteration.
-| style="width: 15%" |  22/09/2025 - 06/10/2025
+| style="width: 15%" |  21/09/2026 - 28/09/2026
-| 06/10/2025
+| 29/09/2026
 |}

@@ Line 87: / Line 87: @@
 | style="width: 8%"  style="text-align: center;   | 1
 | style="width: 60%" | Apply data cleaning techniques on any dataset (e.g., Paper Reviews dataset in UCI repository). Techniques may include handling missing values, outliers and inconsistent values. A set of validation rules can be prepared based on the dataset and validations can be performed.
-| style="width: 15%" |  25/08/2025 - 01/09/2025
+| style="width: 15%" |  24/08/2026 - 31/08/2026
-| 02/09/2025
+| 01/09/2026
 |}

@@ Line 77: / Line 77: @@
 |}
-=== '''Lab 1: ''' ( week of 25<sup>th</sup> August & 01<sup>st</sup> September 2025  ) ===
+=== '''Lab 1: ''' ( week of 24<sup>th</sup> & 31<sup>st</sup> Auguest 2026  ) ===
 {| class="wikitable" style="text-align: justify;
 |-

@@ Line 59: / Line 59: @@
 * Turn off'''(shut down) your assigned computer and arrange the chair''' before you leave the lab.
-== '''Lab 0: Getting Started''' ( week of 03<sup>rd</sup>, 10<sup>th</sup > & 17<sup>th</sup >  August 2026 ) ==
+=== '''Lab 0: Getting Started''' ( week of 03<sup>rd</sup>, 10<sup>th</sup > & 17<sup>th</sup >  August 2026 ) ===
 {| class="wikitable" style="text-align: justify;
 |-
@@ Line 118: / Line 118: @@
 | 06/10/2025
 |}
 == Resources ==

@@ Line 76: / Line 76: @@
 | 3 || https://www.cse.msu.edu/~ptan/dmbook/tutorials/tutorial3/tutorial3.html || -- || --
 |}
 == Resources ==

@@ Line 79: / Line 79: @@
 == Resources ==
 '''References:'''
-* '''R1''':  Dejey, S. Murugan, Cyber Forensics, Oxford University Press, 2018.
+* '''Text Book''': Tan P.N., Steinbach M, Karpatne A. and Kumar V. Introduction to Data Mining, Second edition, Sixth Impression, Pearson, 2023.
 '''Additional References:'''
-#  “Computer Forensics: Investigating Network Intrusions and Cybercrime” by Cameron H.
+#  Han J., Kamber M. and Pei J. Data Mining: Concepts and Techniques, 3rd edition, 2011, Morgan Kaufmann Publishers.
-#  Malin, Eoghan Casey, and James M. Aquilina Online Course Management System: https://esu.desire2learn.com/
+#  Zaki M. J. and Meira J. Jr. Data Mining and Machine Learning: Fundamental Concepts and Algorithms, 2nd edition, Cambridge University Press, 2020.
-#  Computer Forensics, Computer Crime Investigation by John R., Vacca, Firewall Media, New Delhi.
+#  Aggarwal C. C. Data Mining: The Textbook, Springer, 2015
-# Computer Forensics and Investigations by Nelson, Phillips, Enfinger, Steuart, CENGAGE Learning
+#  Insight into Data mining: Theory and Practice, Soman K. P., Diwakar Shyam, Ajay V., PHI 2006

@@ Line 59: / Line 59: @@
 * Turn off'''(shut down) your assigned computer and arrange the chair''' before you leave the lab.
-=== Lab 1 & 2: ( week of 27<sup>th</sup> July,  03<sup>rd</sup> & 10<sup>th</sup> August 2026 ) ===
+== '''Lab 0: Getting Started''' ( week of 03<sup>rd</sup>, 10<sup>th</sup > & 17<sup>th</sup >  August 2026 ) ==
 {| class="wikitable" style="text-align: justify;
 |-
-! Task. No.
+! Task No.
 ! Task
-! Assessment Period
+! Assessment Period.
 ! Submission Deadline
 |-
-| style="width: 8%"  | 1 & 2
+| style="width: 8%"  | 1
-| style="width: 60%" | Study of Network related Commands (Windows/Linux)
+| style="width: 60%" | https://www.cse.msu.edu/~ptan/dmbook/tutorials/tutorial1/tutorial1.html
-* '''Network Discovery:''' - Ping, Traceroute/Tracert/Tracepath, Nmap, MTR/Pathping
+| style="width: 15%" |  --
-* '''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
+| 2 || https://www.cse.msu.edu/~ptan/dmbook/tutorials/tutorial2/tutorial2.html  || -- || --
-* '''Address/Routing Analysis:''' - ARP/arp -a, Route/ route print, Iproute2
+|-
-* '''Data Transfer/File Retrieval:''' - wget, curl/curl.exe
+| 3 || https://www.cse.msu.edu/~ptan/dmbook/tutorials/tutorial3/tutorial3.html || -- || --
 |}

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