Course title
1M988000,7M580000
Topics in Data Engineering

 kimura masaomi Click to show questionnaire result at 2016
Course content
While data can be found everywhere in everyday situations, it is not easy to extract useful information and utilize it. In the first half of this course, students will understand representative methods of data mining and text mining which are attracting attention as methods of extracting information from data. In the latter half of the course, students will learn about topics relating to XML and XML database as methods of utilizing this data. Students will read related papers in turn, study basic knowledge, and understand the latest trends in research.
Purpose of class
To learn about the foundation of data engineering, including data-mining, text-mining and XML
Goals and objectives
  1. Learn the foundation of data-mining
  2. Learn the foundation of text-mining.
  3. Learn the foundation of XML.
Language
English
Class schedule

 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． Text mining method (1) Basics: Natural Language Processing Read distributed materials 190minutes
8． Text mining method (2) Text mining techniques and examples Read distributed materials 190minutes
9． XML (1) Basics Read distributed materials 190minutes
10． XML (2) Semantic Web 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
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Presentation Total.
1. 35% 35%
2. 35% 35%
3. 30% 30%
Total. 100% -
Evaluation method and criteria
Reports relating to reference papers and topics during the term
Students will be evaluated on points they raise regarding papers and topics.
Textbooks and reference materials
Nothing.
Prerequisites
Statistics, Natural language processing, Dataabase
Office hours and How to contact professors for questions
  • 13:00-14:30 on Friday in Laboratory Room 13-O-32 (Toyosu Campus)
Relation to the environment
Regionally-oriented
Development of social and professional independence
    Active-learning course
    Last modified : Wed Oct 17 07:46:09 JST 2018