a.
Explanation of Solution
Given: The following statement:
Based on the financial as well as demographic data, decide whether a loan should be issued to an applicant or not.
To find: Whether the data mining techniques to be used belong to supervised or unsupervised learning.
Solution:
The given statement acknowledges that it is supervised learning. To issue a loan, an applicant is already registered in their
b.
Explanation of Solution
Given: The following statement:
Based on the buying patterns in prior transactions, make recommendations to the customers regarding additional items to buy.
To find:Â Whether the data mining techniques to be used belong to supervised or unsupervised learning.
Solution:
The given statement acknowledges that it is unsupervised learning. The online bookstore recommends various types of books to the customers which will not provide any possible outcome whether the recommendation was followed or not.
c.
Explanation of Solution
Given: The following statement:
Recognize the risk of data packet in network based on comparison to the other packets whose status is well-known.
To find: Whether the data mining techniques to be used belong to supervised or unsupervised learning.
Solution:
The given statement acknowledges that it is supervised learning. The network data packet can easily be recognized as dangerous (hacker attack, virus) or safe if the status of other packets is known.
d.
Explanation of Solution
Given: The following statement:
Identification of similar customer segments.
To find:Â Whether the data mining techniques to be used belong to supervised or unsupervised learning.
Solution:
The given statement acknowledges that it is unsupervised learning. In this, the dependency of an outcome is not known. To identify the segment, unsupervised learning is used so that it can easily be utilized and classify the new customers and its segments with the help of supervised learning.
e.
Explanation of Solution
Given: The following statement:
To forecast whether a company might go bankrupt on the basis of financial data from similar bankrupt and non-bankrupt companies.
To find:Â Whether the data mining techniques to be used belong to supervised or unsupervised learning.
Solution:
The given statement acknowledges that it is supervised learning as both the companies are comparing the financial data of both bankrupt and nonbankrupt firms, and the status of similar companies is known.
f.
Explanation of Solution
Given: The following statement:
Predict the recovery time of an aircraft depending on a trouble ticket.
Â
To find:Â Whether the data mining techniques to be used belong to supervised or unsupervised learning.
Solution:
The given statement acknowledges that it is supervised learning. It analyzes both the historical repairs and actual repair concerning which part is having a similar repair.
g.
Explanation of Solution
Given: The following statement:
The automated mail sorting by scanning the zip code.
To find:Â Whether the data mining techniques to be used belong to supervised or unsupervised learning.
Solution:
The given statement acknowledges that it is supervised learning. In scanning the zip code, it is likely to have the knowledge regarding whether the sorting was correct or not.
h.
Explanation of Solution
Given: The following statement:
Generate the personalized discount coupons based on the products that have been purchased recently and previously on the grocery store.
To find:Â Whether the data mining techniques to be used belong to supervised or unsupervised learning.
Solution:
The given statement acknowledges that it is unsupervised learning. In this, the purchase may vary in the grocery store where the future prediction of purchase is not cleared as compared to the previous purchases.
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Chapter 2 Solutions
Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
- Refer to page 10 for problems on parsing. Instructions: • Design a top-down parser for the given grammar (e.g., recursive descent or LL(1)). • Compute the FIRST and FOLLOW sets and construct the parsing table if applicable. • Parse a sample input string and explain the derivation step-by-step. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 20 for problems related to finite automata. Instructions: • Design a deterministic finite automaton (DFA) or nondeterministic finite automaton (NFA) for the given language. • Minimize the DFA and show all steps, including state merging. • Verify that the automaton accepts the correct language by testing with sample strings. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440AZF/view?usp=sharing]arrow_forwardRefer to page 60 for solving the Knapsack problem using dynamic programming. Instructions: • Implement the dynamic programming approach for the 0/1 Knapsack problem. Clearly define the recurrence relation and show the construction of the DP table. Verify your solution by tracing the selected items for a given weight limit. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440AZF/view?usp=sharing]arrow_forward
- Refer to page 70 for problems related to process synchronization. Instructions: • • Solve a synchronization problem using semaphores or monitors (e.g., Producer-Consumer, Readers-Writers). Write pseudocode for the solution and explain the critical section management. • Ensure the solution avoids deadlock and starvation. Test with an example scenario. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qo Hazb9tC440AZF/view?usp=sharing]arrow_forward15 points Save ARS Consider the following scenario in which host 10.0.0.1 is communicating with an external SMTP mail server at IP address 128.119.40.186. NAT translation table WAN side addr LAN side addr (c), 5051 (d), 3031 S: (e),5051 SMTP B D (f.(g) 10.0.0.4 server 138.76.29.7 128.119.40.186 (a) is the source IP address at A, and its value. S: (a),3031 D: (b), 25 10.0.0.1 A 10.0.0.2. 1. 138.76.29.7 10.0.0.3arrow_forward6.3A-3. Multiple Access protocols (3). Consider the figure below, which shows the arrival of 6 messages for transmission at different multiple access wireless nodes at times t=0.1, 1.4, 1.8, 3.2, 3.3, 4.1. Each transmission requires exactly one time unit. 1 t=0.0 2 3 45 t=1.0 t-2.0 t-3.0 6 t=4.0 t-5.0 For the CSMA protocol (without collision detection), indicate which packets are successfully transmitted. You should assume that it takes .2 time units for a signal to propagate from one node to each of the other nodes. You can assume that if a packet experiences a collision or senses the channel busy, then that node will not attempt a retransmission of that packet until sometime after t=5. Hint: consider propagation times carefully here. (Note: You can find more examples of problems similar to this here B.] ☐ U ப 5 - 3 1 4 6 2arrow_forward
- Just wanted to know, if you had a scene graph, how do you get multiple components from a specific scene node within a scene graph? Like if I wanted to get a component from wheel from the scene graph, does that require traversing still? Like if a physics component requires a transform component and these two component are part of the same scene node. How does the physics component knows how to get the scene object's transform it is attached to, this being in a scene graph?arrow_forwardHow to develop a C program that receives the message sent by the provided program and displays the name and email included in the message on the screen?Here is the code of the program that sends the message for reference: typedef struct { long tipo; struct { char nome[50]; char email[40]; } dados;} MsgStruct; int main() { int msg_id, status; msg_id = msgget(1000, 0600 | IPC_CREAT); exit_on_error(msg_id, "Creation/Connection"); MsgStruct msg; msg.tipo = 5; strcpy(msg.dados.nome, "Pedro Silva"); strcpy(msg.dados.email, "pedro@sapo.pt"); status = msgsnd(msg_id, &msg, sizeof(msg.dados), 0); exit_on_error(status, "Send"); printf("Message sent!\n");}arrow_forward9. Let L₁=L(ab*aa), L₂=L(a*bba*). Find a regular expression for (L₁ UL2)*L2. 10. Show that the language is not regular. L= {a":n≥1} 11. Show a derivation tree for the string aabbbb with the grammar S→ABλ, A→aB, B→Sb. Give a verbal description of the language generated by this grammar.arrow_forward
- 14. Show that the language L= {wna (w) < Nь (w) < Nc (w)} is not context free.arrow_forward7. What language is accepted by the following generalized transition graph? a+b a+b* a a+b+c a+b 8. Construct a right-linear grammar for the language L ((aaab*ab)*).arrow_forward5. Find an nfa with three states that accepts the language L = {a^ : n≥1} U {b³a* : m≥0, k≥0}. 6. Find a regular expression for L = {vwv: v, wЄ {a, b}*, |v|≤4}.arrow_forward
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