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- Politecnico di Milano
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- Computer Engineering
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- Data Mining and Text Mining
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2017 06 26
Full exam for Data Mining and Text Mining in the Computer Engineering degree programme at Politecnico di Milano. The document covers: Politecnico di Milano School of Industrial and Information Engineering Data Mining and Text Mining June 26, 2017 NAME CODICE PERSONA/ID GENERAL INSTRUCTIONS • You have 1:10h (one hour and ten minutes) to complete the test. • Answers must be clearly written inside the problem
Data Mining and Text MiningFull exam
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Full exam for Data Mining and Text Mining in the Computer Engineering degree programme at Politecnico di Milano. The document covers: Politecnico di Milano School of Industrial and Information Engineering Data Mining and Text Mining June 26, 2017 NAME CODICE PERSONA/ID GENERAL INSTRUCTIONS • You have 1:10h (one hour and ten minutes) to complete the test. • Answers must be clearly written inside the problem
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Politecnico di Milano School of Industrial and Information Engineering Data Mining and Text Mining June 26, 2017 NAME CODICE PERSONA/ID GENERAL INSTRUCTIONS • You have 1:10h (one hour and ten minutes) to complete the test. • Answers must be clearly written inside the problem box. All the answers must be adequately motivated. • Pencils are not allowed. The exam consists of 4 sheets of paper. It must be returned with all the 4 sheets. No any other sheet can be added. No sheet can be removed. • This is a closed-book/closed-notes exam. • Only non-programmable calculators are allowed. • Notes/books/mobile phones are not allowed. • If you are caught using forbidden material, the exam will immediately end and an RP grade will be recorded; then, your Data Mining exam will consist of an oral examination from then on. FOR THE STUDENTS WHO DID THE COURSE PROJECT • Fill the box specifying the score achieved in the course project • Students who scored 12 points must solve either problem 1 or problem 2 with a time limit of 30 minutes • Students who scored 7 points must solve problem 3 and either problem 1 or problem 2 with a time limit of 50 minutes • Students who scored 5 points must solve problem 1 and problem 2 with a time limit of 50 minutes Scoring • A problem left unsolved will amount to zero points. • A completely wrong solution will amount to -3 points COURSE PROJECT SCORE FINAL TIME GRADES Problem 1 (7 points). Given the dataset below in which columns x0 and x1 identify the attributes while column class identifies the class attribute, (1) compute the average accuracy obtained by applying a tenfold crossvalidation using k-nearest neighbor with k equal to 3 and (2) discuss the computational complexity of classification using k-nearest neighbors with a plain table-based…
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