Document information
- University
- Politecnico di Milano
- Degree programme
- Computer Engineering
- Subject
- Data Mining and Text Mining
- Classification
- Exam · Full exam
- Content
- Exam paper only
- Original format
- Text
- Searchable text
Full exam for Data Mining and Text Mining in the Computer Engineering degree programme at Politecnico di Milano. The document covers: Politecnico di Milano Facoltà di Ingegneria dell’Informazione Data Mining and Text Mining Tecniche di Apprendimento Automatico Prof. Pier Luca Lanzi & Ing. Daniele Loiacono September 24, 2014 NAME MATRICOLA Solve the following problems and write the answer inside the problem
Full exam for Data Mining and Text Mining in the Computer Engineering degree programme at Politecnico di Milano. The document covers: Politecnico di Milano Facoltà di Ingegneria dell’Informazione Data Mining and Text Mining Tecniche di Apprendimento Automatico Prof. Pier Luca Lanzi & Ing. Daniele Loiacono September 24, 2014 NAME MATRICOLA Solve the following problems and write the answer inside the problem
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Politecnico di Milano Facoltà di Ingegneria dell’Informazione Data Mining and Text Mining Tecniche di Apprendimento Automatico Prof. Pier Luca Lanzi & Ing. Daniele Loiacono September 24, 2014 NAME MATRICOLA Solve the following problems and write the answer inside the problem box. Answers must be clearly written. Pencils are not allowed. The midterm consists of 3 sheets of paper. It must be returned with all the 3 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. All the answers must be adequately motivated. Problems 1 to 4 assign up to 7 points each. Problem 5 assigns 5 points. Grades The image cannot be displayed. Your computer may not have enough memory to open the image, or the image may have been corrupted. Restart your computer, and then open the file again. If the red x still appears, you may have to delete the image and then insert it again. Problem 1. Build the FP-tree for the following dataset. Problem 1. (continued) Problem 2. In the typical rule induction process following a sequential covering approach, are the rules produced overlapping or not? If they are, what strategies are used to solve the conflict when two or more rules are advocated for one example? If they are not, what is the mechanism that guarantees that the rules are not overlapping? Problem 3. Briefly define Information Retrieval (IR), the major IR approaches, and the basic measures for text retrieval.
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