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This particular Assignment references the syllabus chosen for the subject of Computer Application, for the July 2023 - January 2024 session. The code for the assignment is MCSL-223 and it is often used by students who are enrolled in the MCA (Revised) Degree.
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PART-I: Computer Networks
Q1: Create a simple network topology having two client nodes on left side and two server nodes on the right side. Both clients are connected with another node n1. Similarly, both server node are connected to node n2. Also connect nodes n1 and n2 thus forming a dumbbell shape topology. Use point to point link only. You can use any Network Simulator.
PART-II: Data Mining Lab
Q1: Perform the following:
a. Create an Exam_Results Table with the help of Data Mining Tool WEKA.
b. Apply Pre-Processing techniques to the training data set of Exam_Results Table.
c. Normalize Exam_Results Table data using Knowledge Flow / any other similar tool.
d. To construct a Decision Tree for Exam_Results data and classify it.
Note: Assumptions can be made wherever necessary. State them.
e. Write a procedure for Visualization for Exam_Results Table
Section 1: Computer Networks
Q1: Create a UDP client on a node n1 and a UDP server on a node n2. Perform the following tasks for these node n1 and n2:
a) Send packets to node n2 from node n1 and plot the number of bytes received with respect to - time at node n2.
b) Show the pcap traces at node n2’s WiFi interface.
c) Show the pcap traces at node n1’s WiFi interface.
Q2: Create a simple network topology having two client nodes on left side and two server nodes on the right side. Connect both the client nodes with another client node n1. Similarly, connect both the server nodes to a client node n2. Also connect nodes n1 and n2, thus forming a dumbbell shape topology. Use point to point link only. Perform the following tasks using this topology:
a) Install a TCP socket instance connecting either of the client node with either of the server node.
b) Install TCP socket instance connecting remaining client nodes with the remaining server nodes.
c) Send packets to respective clients from both the servers and monitor the traffic for both the pair and plot the number of bytes received.
d) Also plot the packets received.
Section 2: Data Mining Lab
Q1. Perform the following:
a. Demonstrate data classification on dataset Customer.csv which includes creation of a csv file, reading it into WEKA and using the WEKA explorer.
b. Use WEKA to implement Decision Tree (J48), Naive Bayes and Random Forest using individual datasets.
c. Illustrate and implement a java program using Naive Bayes Classification.
d. Use WEKA to implement the following Clustering Algorithms: k-Means, Agglomerative and Divisive.
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