|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
|
Aplikace procedury Ac4ft-Miner na medicínská data
Nekvapil, Viktor ; Rauch, Jan (advisor) ; Šimůnek, Milan (referee)
This bachelor thesis deals with the data mining procedure Ac4ft-Miner, implemented in the LISp-Miner system, which is developed at the Department of Information and Knowledge Engineering at the University of Economics, Prague. The aim of this thesis is firstly to describe the procedure in a simple, understandable way. Secondly, the aim is to apply this procedure on the medical data and present examples of use of this procedure. Further aim is to create methodology of use for doctors from the experience obtained. The aims are reached by using a lot of examples, which demonstrate theoretical concepts on concrete data and by the pursuit of the simple visualisation of tasks (analytical questions) solved by the procedure. The output of this thesis is a coherent text with lot of examples separated from the continuous text; so the reader familiar with a particular topic can skip the examples and proceed to the next issue. Further result of this thesis is an outline of the graphical presentation of analytical questions. Both the examples and the graphical presentation will be used further in the SEWEBAR project of which this thesis is one part. The methodology of use of the procedure for doctors is in the form of advices for use of the tool which should contribute to the further research which is needed. This is because of the high complexity of the procedure, which does not allow formulating general conclusions usable in the methodology. Chapter 1 characterizes the overall process of Knowledge Discovery in Databases represented by the CRISP-DM Methodology. Chapter 2 presents theoretical concepts related to Ac4ft-Miner. Chapter 3 deals with action rules. Chapter 4 addresses possibilities of defining the input and interpretation of the output of the Ac4ft-Miner. Chapter 5 describes the research conducted on the real medical data set ADAMEK, states methodology and examples of the output. Chapter 6 summarises the experience obtained and formulates the methodology of use of Ac4ft-Miner for doctors.
|
|
|
Empirical Comparison of Knowledge Discovery in Databases Systems
Dopitová, Kateřina ; Berka, Petr (advisor) ; Rauch, Jan (referee)
Submitted diploma thesis considers empirical comparison of knowledge discovery in databases systems. Basic terms and methods of knowledge discovery in databases domain are defined and criterions used to system comparison are determined. Tested software products are also shortly described in the thesis. Results of real task processing are brought out for each system. The comparison of individual systems according to previously determined criterions and comparison of competitiveness of commercial and non-commercial knowledge discovery in databases systems are performed within the framework of thesis.
|
|
|
Utilization of XML databases for retrieval of data-mining specifications
Marek, Tomáš ; Kliegr, Tomáš (advisor) ; Kosek, Jiří (referee)
The aim of this work is to create a querying system in analytical reports stored as PMML documents. These PMML documents are stored in native XML database, because these documents are structured as XML documents. Selected XML database is available for free and its resources and means meet the proposed solution. Also searching algorithm is created to search these documents by means of XQuery language. Inasmuch as searched data have the character of the XML data the use of language for querying XML data suggests. In terms of the use of the XQuery language structure of PMML document was explored and data links in these documents was used to ensure proper search results. Results of the search are association rules from these analytical reports stored in PMML documents, requests of the search are attributes to be in the rules, their values and other limits of the search. So that the whole system is complete and could be fully used, it is necessary to create a communication environment through which the work with stored data is performed. For this purpose, Java and REST(ful) architecture for creating applications are used.
|
guest ::
