Datamining

Course Code:
14DMG
Academic Degree:
bachelor
Study Programme:
Technology in Transportation and Telecommunications (B 3710)
semesterlanguagestudy field / specialization
5czechLOG Logistics and Transport Processes Control - 3708R046
Form of Study:
full-time and part-time
Credits:
2
Number of Hours:
0 + 2 hours per week - in full-time study
8 hours per semester - in part-time study
Type of Course:
obligatory
Course Completion:
classified credit
Course Tutor:
 
roh  Training Course:
Ing. Radek Holý, Ph.D.
roh  Part-time Study:
Ing. Ondřej Smíšek
Supervising Department:
Department of Applied Informatics in Transportation (16114)
Keywords:
database, datamining, acquisition of knowledge from data, data warehouse, data sources
Abstract:
Types of data sources and knowledge, data warehouses and OLAP technology for data mining, data preprocessing in the process of knowledge acquisition systems for data mining, mining characteristics of concepts (classes), mining association rules from relational db. and data warehousing, classification (decisions tree, Bayesian cob., using neural networks). Prediction. Cluster analysis. Mining in complex structured data, multimedia dbf., www.
Objectives:
Acquisition of knowledge in the following fields - knowledge acquisition from different data sources, procedure of knowledge acquisition from data, tools used at this process.