While data can be found everywhere in everyday situations, it is not easy to extract useful information and utilize it. Students
will understand representative methods of data mining and text mining which are attracting attention as methods of extracting
information from data. Students will read related papers in turn, study basic knowledge, and understand the latest trends
in research.
To learn about the foundation of data engineering, including data-mining and text-mining
- Students can understand the fundamental techniques of data-mining
- Students can understand the fundamental techniques of text-mining.
- Students can understand and explain academic papers related to data mining and text mining.
| Presentation | Minutes paper | Total. | |
|---|---|---|---|
| 1. | 20% | 10% | 30% |
| 2. | 20% | 10% | 30% |
| 3. | 30% | 10% | 40% |
| Total. | 70% | 30% | - |
| Class schedule | HW assignments (Including preparation and review of the class.) | Amount of Time Required | |
|---|---|---|---|
| 1． | Guidance (outlines related to data/text mining techniques) | Read distributed materials | 190minutes |
| 2． | Data mining method (1) Overview of data mining | Read distributed materials | 190minutes |
| 3． | Data mining method (2) Association analysis, memory-based reasoning | Read distributed materials | 190minutes |
| 4． | Data mining method (3) Clustering analysis, genetic algorithm | Read distributed materials | 190minutes |
| 5． | Data mining method (4) Decision Tree analysis, network analysis | Read distributed materials | 190minutes |
| 6． | Data mining method (5) artificial neural network | Read distributed materials | 190minutes |
| 7． | Data mining method (6) SVM | Read distributed materials | 190minutes |
| 8． | Data mining method (7) Deep learning | Read distributed materials | 190minutes |
| 9． | Text mining method (1) Basics: Natural Language Processing | Read distributed materials | 190minutes |
| 10． | Text mining method (2) Text mining techniques and deep learning | Read distributed materials | 190minutes |
| 11． | Presentation (1) | Prepare a presentation material | 190minutes |
| 12． | Presentation (2) | Prepare a presentation material | 190minutes |
| 13． | Presentation (3) | Prepare a presentation material | 190minutes |
| 14． | Presentation (4) | Prepare a presentation material | 190minutes |
| Total. | - | - | 2660minutes |
Minutes paper is required for each session.
Students are required to make a presentation of a journal paper related to topics dealt with in this class.
We score 20% for the validity of the paper choice, 20% for a device for the presentation, 40% for the understanding of contents and 20% for discussion.
If the presentation dealt with a suitable paper and its explanation correctly catch the point, it will be evaluated as 60 points.
Students are required to make a presentation of a journal paper related to topics dealt with in this class.
We score 20% for the validity of the paper choice, 20% for a device for the presentation, 40% for the understanding of contents and 20% for discussion.
If the presentation dealt with a suitable paper and its explanation correctly catch the point, it will be evaluated as 60 points.
| ways of feedback | specific contents about "Other" |
|---|---|
| Feedback in the class |
- 13:00-14:30 on Friday in Laboratory Room 13-O-32 (Toyosu Campus)
- Course that cultivates an ability for utilizing knowledge
| Work experience | Work experience and relevance to the course content if applicable |
|---|---|
| N/A | N/A |
Last modified : Tue Aug 27 14:00:55 JST 2024