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.