Development of Firm Knowledge Base

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Applied Informatics in Transportation

Synopsis:

The Course educates students in the area of firm knowledge base, and presents all needed terms. Then course focuses on problematic of such knowledge base employment, its management and development.

Requirements:

Syllabus of lectures:

1.Start to problem, basic terms explanation.

2.Data, knowledge, representation.

3.Knowledge base, expert system, structure of expert systems.

4.Role of knowledge in firm processes.

5.Access to shared knowledge, security.

6.Centralized and decentralized model of knowledge base management, Lotus Notes.

7.Methodology of knowledge base development - development of knowledge base for expert system.

8.Methodology of knowledge base development - knowledge acquisition.

9.Methodology of knowledge base development from data - Machine learning, example based learning, decision tree building.

10.Methodology of knowledge base development from data - association rules composition (GUHA), decision rules building.

11.Methodology of knowledge base development from data - neural networks.

12.Knowledge mining from large databases.

13.Knowledge mining from Internet.

14.Methods of Intelligence Agencies work and their use in busyness practice.

Syllabus of tutorials:

Study Objective:

Study materials:

Paper in professional magazines actually selected by teacher

Kelemen J., Kubík A., Lenharčík I., Mikulecký P.: Tvorba expertních systémů v prostředí CLIPS, Praha, Grada, 1999

Dobda: Ochrana dat, Praha, Grada, 2000

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: