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DKUM
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Title:
Razvoj sistema za spremljanje porabe protimikrobnih zdravil
Authors:
ID
Bajec, Tom
(Author)
ID
Kljajić Borštnar, Mirjana
(Mentor)
More about this mentor...
Files:
MAG_Bajec_Tom_2017.pdf
(7,32 MB)
MD5: C26FDC474ACB72292C9B926598CDED69
Language:
Slovenian
Work type:
Master's thesis/paper
Organization:
FOV - Faculty of Organizational Sciences in Kranj
Abstract:
Za magistrsko nalogo smo izdelali podatkovno skladišče ter avtomatski poročilni sistem. S tem smo rešili težave pri odzivnosti aplikacije in pridobivanju rezultatov, saj hranimo več milijonov zapisov. Izdelali in opisali smo ustrezen podatkovni model, podatkovno OLTP in OLAP-bazo ter ELT-proces. Napisali smo podatkovne poizvedbe in skripte v SQL-T jeziku. Izdelali smo poročila, ki temeljijo na klasifikaciji WHO ATC/DDD. V nalogi smo podrobno opisali, kaj WHO ATC/DDD klasifikacija je in kako se izračunava. Opisali smo, na kakšen način oziroma katero metodo smo uporabili pri izgradnji sistema. Podatkovno skladišče smo uporabili kot vir podatkov. Prikazali smo tudi način uporabe podatkovnega rudarjenja. Prototipni informacijski sistem, ki omogoča izračunavanje po WHO ATC/DDD klasifikaciji smo poimenovali Anbico. Uporabljali smo orodja, ki nam jih nudita programska paketa MS SQL 2012 in Visual studio 2013.
Keywords:
podatkovno skladišče
,
avtomatski poročilni sistem
,
informacijski sistem Anbico
,
prototip
Place of publishing:
Maribor
Year of publishing:
2017
PID:
20.500.12556/DKUM-64876
COBISS.SI-ID:
7899155
NUK URN:
URN:SI:UM:DK:3D3FCUAJ
Publication date in DKUM:
27.02.2017
Views:
1731
Downloads:
147
Metadata:
Categories:
FOV
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Vancouver
:
BAJEC, Tom, 2017,
Razvoj sistema za spremljanje porabe protimikrobnih zdravil
[online]. Master’s thesis. Maribor. [Accessed 13 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=64876
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Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Secondary language
Language:
English
Title:
Development of system for antimicrobial drug consumption monitoring
Abstract:
In our master's thesis we were solving problem with unresponsiveness of applications obtaining results from datasets with more millions of records. We developed data warehouse and created automatic reports - business intelligence system. We described an appropriate data model, OLTP, OLAP database and ELT – process. We wrote scripts and database queries in T-SQL language and developed reports, based on the classification of the WHO ATC / DDD. The data warehouse was used as a data source. We demonstrated how to use data mining and described in detail what the WHO ATC / DDD classification actually is and how it is calculated. We described how and what methods were used in the construction of the system. Prototype Information System, which enables the calculation of the WHO ATC / DDD classification, was named Anbico. We used the tools from Microsoft, MS SQL 2012 and Visual Studio 2013.
Keywords:
data warehouse
,
business intelligence
,
information system Anbico
,
prototype
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