Distributed Databases and Data Mining: Class timetable

Course textbooks

• • Text 1: M. T. Oszu and P. Valduriez, Principles of Distributed Database Systems, 2nd ed., Prentice-Hall, 1999.
    Errata
  • Text 2: J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2000.
    Errata

 

Lecture Schedule

This course will cover topics in distributed database systems (Part I) and data mining (Part II). The following is the weekly schedule for the course.

Lectures 1-4

Introduction, distributed database architecture and design

• Chapters 1-5 from textbook 1.

Lectures 5-9

Distributed query processing and optimization

• Chapters 7-9 from textbook 1.

Lectures 10-12

Transaction Processing, Concurrency Control and Reliability

• Chapters 10-12 of textbook 1.

Lectures 13-15

Data warehousing and OLAP technology

• Chapters 1-2 from textbook 2.

Lectures 16-18

Association mining

• Chapters 6 from textbook 2.

Lectures 19-21

Classification

• Chapters 7 from textbook 2.

Lectures 22-24

Clustering

• Chapters 8 from textbook 2.

Term project presentation and discussion sessions

 

TBA