Data Mining University of Tsukuba
Data analysis techniques in data mining based on knowledge discovery from aspects of statistical learning and machine learning will be the main focus of discussion in this class. The goal of this class is to understand advanced methodologies in data analysis and to apply data mining techniques based on the data analysis techniques actually used in society. Specifically, this class discusses methods for expressing uncertainty inherent in data, exploratory data analysis methods, recent problems in data analysis, and advanced methods corresponding to them.
Students will understand data analysis techniques in data mining based on knowledge discovery from statistical and machine learning. 1. Students will understand how to express uncertainty inherent in data 2. Students will understand exploratory data analysis techniques 3. Students will understand current issues in data analysis and emerging methods to address them.
In the general-purpose competence of the degree program, this class is related to competence "1. Ability to utilize knowledge." In the degree program specialized competence, this class is related to competences, "1. Basic engineering skills", "2. Knowledge of basic theory and related technology", "3. Knowledge of practical problems", and "4. Broad perspective". In graduate school competence, this class is related to competences "1. Research ability" and "2. Specialized knowledge."
Method of Evaluation: Final report Ratio: All of the evaluations will be done in the final report (100%). A grade of 60% or higher will be required to pass this class. Criterion of evaluation: According to the main issue of the report assignment, whether the report can be written correctly and clearly will be the evaluation point.
This class will be given face to face and online with further details of the class posted on the Manaba system. For information on the first class, the details will be informed through this class course on Manaba, so please access the Manaba system.What is data miningMultidimensional theoryMultidimensional theory and its applicationsMachine learningMachine learning and its applicationsStatistical learningStatistical learning and its applicationsSymbolic data analysisSymbolic data analysis and its applicationsData fusion theory
Online Course Requirement
Fundamental knowledge in Mathematics
Site for Inquiry
Link to the syllabus provided by the university