Hello Learners, In this Post, you will find NPTEL Data Mining Assignment 2 Week 2 Answers 2023. All the Answers are provided below to help the students as a reference don’t straight away look for the solutions.
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| COURSE NAME | ANSWER |
| NPTEL Data Mining Assignment 1 Answers | Click Here |
| NPTEL Data Mining Assignment 2 Answers | Click Here |
| NPTEL Data Mining Assignment 3 Answers | Click Here |
| NPTEL Data Mining Assignment 4 Answers | Click Here |
| NPTEL Data Mining Assignment 5 Answers | Click Here |
| NPTEL Data Mining Assignment 6 Answers | Click Here |
| NPTEL Data Mining Assignment 7 Answers | Click Here |
| NPTEL Data Mining Assignment 8 Answers | Click Here |
NPTEL Data Mining Assignment 2 Answers 2023:
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Q.1. If a store has N items, the number of possible itemsets is
Q.2. An association rule is valid if it satisfies:
Q.3. An itemset is frequent if it satisfies the:
- a. Support criteria
- b. Confidence criteria
- c. Both support and confidence criteria
- d. None of these
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Q.4. Which of the following property is used by the apriori algorithm:
- a. Positive definiteness property of support
- b. Positive semidefiniteness property of support
- c. Monotone property of support
- d. Antimonotone property of support
Q.5. Consider three itemsets I1={bat, ball, wicket}, I2={bat, ball}, I3={bat}. Which of the following statements are correct?
- a. support(I1) > support(I2)
- b. support(I2) > support(I3)
- c. both statements A and B
- d. none of the statements A and B
For questions 6-10, consider the following small database of four transactions. The minimum support is 60% and the minimum confidence is 80%.
Trans_id Itemlist
T1 {F, A, D, B}
T2 {D, A, C, E, B}
T3 {C, A, B, E}
Q.6. The 1-itemsets that satisfy the support criteria are:
- a. {A}, {B}, {C}, {D}
- b. {A}. {B}, {C}
- c. {A}, {B}
- d. None of these
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Q.7. The 2-itemsets that satisfy the support criteria are:
Q.8. The 3-itemsets that satisfy the support criteria are:
- a. {ABC}, {ABE}, {BCD}, {ACD}
- b. {ABE}. {BCD}, {ACD}
- c. {ABE}, {BCD}
- d. {ABD}
Q.9. Which of the following is NOT a valid association rule?
Q.10. Which of the following is NOT a valid association rule?
- a. A -> DB
- b. D -> AB
- c. AD -> B
- d. DB -> A
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About NPTEL Data Mining Course:
Data mining is study of algorithms for finding patterns in large data sets. It is an integral part of modern industry, where data from its operations and customers are mined for gaining business insight. It is also important in modern scientific endeavors. Data mining is an interdisciplinary topic involving, databases, machine learning and algorithms. The course will cover the fundamentals of data mining. It will explain the basic algorithms like data preprocessing, association rules, classification, clustering, sequence mining and visualization. It will also explain implementations in open source software. Finally, case studies on industrial problems will be demonstrated.
Course Layout:
- Week 1: Introduction, Data Preprocessing
- Week 2: Association Rule Mining, Classification Basics
- Week 3: Decision Tree, Bayes Classifier, K nearest neighbor
- Week 4:Support Vector Machine, Kernel Machine
- Week 5: Clustering, Outlier detection
- Week 6: Sequence mining
- Week 7: Evaluation, Visualization.
- Week 8: Case studies
CRITERIA TO GET A CERTIFICATE:
Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100
Final score = Average assignment score + Exam score
YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
If you have not registered for exam kindly register Through https://examform.nptel.ac.in/
