Course title
情報工学特別講義(データマイニング)   [Dedicated Lecture on Information Engineering]
Course category technology speciality courses,ets.  Requirement   Credit 2 
Department   Year 34  Semester Fall 
Course type Fall  Course code 025811
Instructor(s)
藤本 浩司, 柴原 一友, 藤田 桂英, 宮武 孝尚   [FUJIMOTO Kohji, SHIBAHARA Kazutomo, FUJITA Katsuhide, MIYATAKE Takahisa]
Facility affiliation Graduate School of Engineering Office   Email address

Course description
Learning concept and basic skill of data mining, which extracts knowledge from big data
Expected Learning
Learning concept and basic skill in extraction knowledge from big data
Course schedule
Day 1
Data mining and cunsumption society, How to predict the future by using possibility, Basic operation of R (statistical analysis software), Report

Day 2
What is classification tree?, How to evaluate classification trees, Linear regression, Logistic regression, Non-parametric regression

Day 3
Neural network, Support vector machine, Probabilistic-structured model (Bayes' theorem), Report
Prerequisites
N/A
Required Text(s) and Materials
Handout and Moodle
References
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Assessment/Grading
Evaluate by attendance(50%) and assignments(50%)
Message from instructor(s)
Course keywords
Classification tree, Linear regression, Logistic regression, Non-parametric regression Neural network, Support vector machine, Bayes' theorem, R (statistical analysis software)
Office hours
Remarks 1
Remarks 2
Related URL
Lecture Language
Language Subject
Last update
9/18/2018 4:09:36 PM