Analýza reálných dat z objednávek e-shopu

The goal of this bachelor thesis is to find interesting relations and context by analyzing data from e-shop orders of the company Delmas Praha s.r.o., and their possible use in practice. This analysis was developed using the 4ft-Miner and CF-Miner procedures of the LISp-Miner system, which represents an implementation platform of the GUHA method. It is an academic system for getting knowledge discovery from databases. Secondary goal of this bachelor thesis is to present the DZD process according to the CRISP-DM methodology and to become familiar with the LISp-Miner system. The benefit of my work is mainly finding unknowns or confirmation of already known data relationships, that could be used in practice. And secondly introduction of the DZD process according to CRISP-DM methodology and familiarization with the LISp-Miner system might be a benefit too. The thesis is divided into two parts, theoretical and practical. The theoretical part introduces the field of DZD as such and its methodology, focusing on CRISP-DM methodology. The practical part describes the data analysis, broken down independently and accordingly to the CRISP-DM methodology and its phases.