Hello NPTEL Learners, In this article, you will find NPTEL Data Mining Assignment 1 Week 1 Answers 2023. All the Answers are provided below to help the students as a reference donât straight away look for the solutions, first try to solve the questions by yourself. If you find any difficulty, then look for the solutions.
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NPTEL Data Mining Assignment 1 Answers 2023:
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Q.1. Which of the following is usually the last step in the data mining process?
- a. Visualization
- b. Preprocessing
- c. Modelling
- d. Deployment
Q.2. Sales database of items in a supermarket can be considered as an example of:
Q.3. HTML links are an example of:
- a) Record data
- b) Ordered data
- c) Graph data
- d) None of the above
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Q.4. Name of a place, can be considered an attribute of type?
Q.5. A store sells 10 items. Maximum possible number of candidate 3-itemsets is:
- a) 120
- b) 6
- c) 15
- d) 56
Q.6. If a record data matrix has reduced number of columns after a transformation, the transformation has performed:
- a) Data Sampling
- b) Dimensionality Reduction
- c) Noise Cleaning
- d) Discretization
Answer Q7-Q10 based on the following table:
Q.7. Support of rule {4,5} â> {1}
- a) 1
- b) 0.5
- c) 0.25
- d) 0
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Q.8. Confidence of rule {4,5} -> {1} is:
Q.9. Support of {1} -> {2,5} is:
- a) 2/3
- b) 2/2
- c) 1/4
- d) 3/4
Q.10. Confidence of {1} -> {2,5}
- a) 2/3
- b) 1
- c) 0
- d) 0.5
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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:Â Introduction, Data PreprocessingÂ
- Week 2:Â Association Rule Mining, Classification Basics
- Week 3:Â Decision Tree, Bayes Classifier, K nearest neighborÂ
- Week 4:Support Vector Machine, Kernel MachineÂ
- Week 5:Â Clustering, Outlier detectionÂ
- Week 6:Â Sequence miningÂ
- Week 7:Â Evaluation, Visualization.Â
- Week 8:Â Case studiesÂ
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/
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