(c) Students can participate in a number of extracurricular activities throughout the term. Lindyhas signed up for chess and basketball. John has signed up for basketball, volleyball, debateand photography. Abel has signed up for debate, volleyball and chess. Kristen has signed upfor photography. Nadine has signed up for chess and volleyball.(i) Model the following scenario using a bipartite graph.(ii) Determine a matching where each student is accepted for an extracurricularactivity.

A bipartite graph can be created with two sets of nodes, one representing students and the other…

Answered: (c) Students can participate in a…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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1 Consider the following hypothesis: A teacher’s betweenness centrality in an advice-seeking network within their school will positively predict their job satisfaction. Is this hypothesis aimed at the node-level, dyadic-level, or network-level of analysis?
The revenue sources of the federal government were recorded as shown in the table below. Construct a circle graph tovisually display this data
Consider the graph below: Provide the MST either as a drawn subgraph or the edges that comprise a valid MST. you must name the approach and show your work/rationale to receive full credit.
2 You are given the count matrix in the table 4 for the attribute "Previous GPA". The class label is whether a student will pass (C1) or fail (CO) a class. We want to use the attribute "Previous GPA" asour splitting attribute in an inner node of a decision tree with a binary test condition. Which is the best way to partition the attribute values into two groups? Form the count matrices for the different partitions and compute the classification error. Explain your reasoning while considering the metric of classification error to evaluate the different partitions. 0 3.1 + 0 3 Consider the decision trees shown in Figure 1. The decision tree in 1b is a pruned version of the original decision tree 1a. The training and test sets are shown in table 5. For every combination of values for attributes A and B, we have the number of instances in our dataset that have a positive or negative label. B 2 2 1 0 1 0 1 0 1 0 + 5 A 3 22 7 1 2 6 Bad 1 pass (C1) fail (CO) 4 B (a) Decision Tree 1 (DT1) 1 3…
Use an Euler diagram to determine validity: All professional comedians are funny. Some funny people are math professors. Therefore some professional comedians are math professors.
1. Draw the appropriate graph where 'y' is the last digit of your roll number. Also simulate the shortest distance between node, S to node, E with cost. 18-y D 10 + 2*y S C 17 + 2*y 13+ y B 13-y 14-y A 13 7 1 E
It was claimed that anyone involved in the Hollywood film industry can be linked through their film roles to Kevin Bacon within six steps. You are suspicious of such a claim and decide to verify it using the given dataset.1. Before you start to verify the claim, you first notice that it is not possible for this claim to be true if the actor graph is not even connected. Now that you know how to verify if the actor graph defined by the given dataset is connected (the actor graph is indeed connected), explain how can you further verify the claim of "Six Degrees of Kevin Bacon", that is: in the actor graph, each actor/actress is connected to Kevin Bacon with a path that contains no more than 6 edges. You should also include the runtime ofyour algorithm.
Task 3 Using the state space graph given below, OPEN and CLOSED lists, to demonstrate the data-driven Hill Climbing, if: • Search start node is B • Search goal node is K • the smaller heuristic measure indicates the better quality of the node Task 4 Using the state space graph given below, OPEN and CLOSED lists, to demonstrate the goal-driven Best-First Search algorithm, if: • Search start node is K • Search goal node is C • the higher heuristic measure indicates the better quality of the node 12 17 14 E 10 5 H K 3 00 00
Mark Zuckerberg, the CEO of Facebook, has hired you to lead the Facebook Algorithms Group. He has asked you to use various graph algorithms to analyze the world's largest social network. The Facebook Graph has 2.8 billion vertices, with each vertex being a Facebook user. Two vertices are connected provided those two users are "friends". The first decision you need to make is how you want to model the Facebook graph. Determine whether you should use an adjacency-list representation or an adjacency-matrix representation.
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