University of Tsukuba | Grad. Scho. Syst. and Info. Eng. | Dept. Comp. Sci. | List of Courses
Hiroyuki Kitagawa, Toshiyuki Amagasa, Hideyuki Kawashima
Office hours Kitagawa: contact by email, Amagasa: contact by email
Cource# 01CH304
Area Software System
Course style Lecture (partially includes practice)
Term FallAB
Period Mon3,4
Room# SB0110
Keywords Database, Data Mining, Cloud Data Management
Prerequisites Students are encouraged to have fundamental knowledge about databases and information retrieval.
Outline This lecture covers basic data engineering techniques and some advanced topics. First, we briefly review database technologies which are the basis of this lecture. Then we pick up major data mining techniques and advanced topics on could data management. The lecture is given in English.
Course plan
Basic database technologies
We review basic database technologies including relational databases and object databases.
Data warehouse and OLAP
We talk about information integration, data warehouse, OLAP, and other releted concepts.
Basic concept of data mining
We explain background, purpose, and major techniques of data mining.
Association Rules
We explain association rules, apriori algorithm, and FP-Growth algorithm.
We illustrate classification based methods, hierarchical methods, density based methods, and constrained based cluster analysis.
Cloud Data Management
We illustrate stream data processing, distributed data processing, and distributed data storage
Textbook Original texts will be distributed in the lecture.
References P. N. Tan, M. Steinbach and V. Kumar, Introduction to Data Mining, Addison Wesley
Evaluation Evaluated based on final exam, quizzes, and attendance.
Misc. Lecture is given in English.