Aplikace DZD na data o pacientech kliniky plastické chirurgie

The main objective of my thesis is to analyze data about clients of plastic and aesthetic surgery with methods and tools of the Knowledge Discovery in Databases and to find as many useful knowledge as possible from the data's owner view (the knowledge consists of verbal rules expressing relationships between two entities). Found knowledge will be presented in SEWEBAR system. Elaboration of my work is in accordance with CRISP-DM methodology that is used for the Knowledge Discovery in Databases. Analytical questions will be solved by LISp-Miner software that uses analytical procedure 4ft-Miner of the GUHA method. Found relationships will be presented in SEWEBAR system and some interesting relationships will be presented in this work. The main purpose of the thesis is to find useful knowledge of plastic and aesthetic surgery branch from both business and medical view. From medical point of view the work finds knowledge about medical and psychological status of clients. From business point of view the work finds knowledge for management. The thesis is structured to correspond with CRISP-DM methodology where every phase of methodology has one chapter. There is result of every phase described in every chapter together with the description of my work on phase.