The data mining technique of time series clustering is well established in many fields. However, as an unsupervised learning method, it requires making choices that are nontrivially influenced by the nature of the data involved. The aim of this paper is to verify usefulness of the time series...

There is growing literature in macroeconomics, especially on business cycle synchronization, employing different methods of time series clustering. However, even as an unsupervised learning method, this technique requires making choices that are nontrivially influenced by the nature of the data...

The data mining technique of time series clustering is well established in many fields. However, as an unsupervised learning method, it requires making choices that are nontrivially influenced by the nature of the data involved. The aim of this paper is to verify usefulness of the time series...

In this paper the author compared 13stock exchange indexes of American, British and German markets and determined their impact on Polish Wig and WIG20 indexes. The analysis proved that the British FTSE100 and FTSE250 as well as the German DAX had the biggest influence on the Warsaw indexes. The...

In this paper the author compared 13stock exchange indexes of American, British and German markets and determined their impact on Polish Wig and WIG20 indexes. The analysis proved that the British FTSE100 and FTSE250 as well as the German DAX had the biggest influence on the Warsaw indexes. The...

In this paper the author compared 13stock exchange indexes of American, British and German markets and determined their impact on Polish Wig and WIG20 indexes. The analysis proved that the British FTSE100 and FTSE250 as well as the German DAX had the biggest influence on the Warsaw indexes. The...