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	3～4	Semester	Fall
Course type	Fall	Course code	025811
Instructor(s)
藤本 浩司, 柴原 一友, 藤田 桂英   [FUJIMOTO Kohji, SHIBAHARA Kazutomo, FUJITA Katsuhide]
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

10/4/2017 1:42:08 PM