Thesis Details
Implementace části standardu SQL/MM DM pro asociační pravidla
This project is concerned with problems of knowledge discovery in databases, in the concrete then is concerned with an association rules, which are part of the system of data mining. By that way we try to get knowledge which we can´t find directly in the database and which can be useful. There is the description of SQL/MM DM, especially then all user-defined types given by standard for association rules as well as common types which create framework for data mining. Before the description of implementation these types, there is mentioned the instruments which are used for that - programming language PL/SQL and Oracle Data Mining support. The accuracy of implementation is verified by a sample application. In the conclusion, achieved results are evaluated and possible continuation of this work is mentioned.
Database, knowledge discovery in databases, data mining, association rules, support, confidence, apriori algorithm, SQL/MM DM, user-defined type, PL/SQL, Oracle Data Mining, DBMS_DATA_MINING
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Eysselt Miloš, Ing., CSc. (DCSY FIT BUT), člen
Hanáček Petr, doc. Dr. Ing. (DITS FIT BUT), člen
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Vondrák Ivo, prof. Ing., CSc. (FEI VSB), člen
@mastersthesis{FITMT6023, author = "Zden\v{e}k \v{S}kod\'{i}k", type = "Master's thesis", title = "Implementace \v{c}\'{a}sti standardu SQL/MM DM pro asocia\v{c}n\'{i} pravidla", school = "Brno University of Technology, Faculty of Information Technology", year = 2007, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/6023/" }