◇ 担当教員 : |
MD. ALTAF-UL-AMIN |
◇ 単位数 :1単位 |
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◇ 選択・必修 :選択 |
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◇ 講義室 :L1 |
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◇ 講義スタイル :講義/公開 |
◇ 授業目的 : |
Making students familiar with the theories of the data mining algorithms and introducing them to the relevant R based tools for practical use |
◇ 授業内容 : |
Multivariate Data and Concepts Of Variance, Metrics, Similarities and Distances Basic Matrix and vector Algebra Concept of Supervised and Unsupervised Learning Principal Component Analysis Hierarchical Clustering K-Mean Clustering Classification Trees Expectation Maximization Algorithm Naive Bayes Classifier Partial Least Square Regression Partial Least Square Discriminant Analysis Support Vector Machines Self Organizing Mapping Introduction to Neural Networks Introduction to Random Forest Receiver Operating Characteristic (ROC) Curves Statistical Tests and p-values A case study of data mining based on formulas of Indonesian traditional medicines (Jamu) |
◇ 教科書 : |
No official/selected text book but students can read related books of their choice for better understanding |
◇ 参考書 : |
Lectures notes will be uploaded online for students |
◇ 履修条件 : |
Basic knowledge of mathematics and statistices |
◇ 成績評価 : |
Grades will depend home works (25%), attendance(25%) and final examination (50%)
More than 50% classes must be attended |
◇ オフィスアワー : |
Almost always welcome for discussion---better make an appointment over e-mail (amin-m@is.naist.jp) before coming |
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