DATA MINING IN TIME SERIES

In modern market economies, knowledge has become a key economic resource, and knowledge management by applying the concept of business intelligence has become the infrastructure constituent of modern management. Essential ingredient of the process of knowledge discovery from databases is data mining, which is successfully applied in various business and scientific research areas. Adaptive and innovative application of the principles and techniques of classic data mining in the analysis of time series resulted in the concept called time series data mining (TSDM). Starting from the above mentioned this paper presents conceptual determination of TSDM as a relatively new field of research in which the methodological context of data mining is adjusted to the temporal nature of data. It also emphasizes the complexity of mining in large time series data sets, as well as the importance and usefulness of research results in the form of extracted knowledge in decision–making process.

Key words: knowledge discovery, data mining, time series, large datasets, business decision–making

JEL Classification: C22, C81, C82