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341.
Uporaba uravnoteženih sistemov kazalnikov (USK) kot sodobno orodje strateškega managementa s primerom Univerzitetnega kliničnega centra Ljubljana : magistrsko delo
Tilen Pahor, 2016, master's thesis

Keywords: uravnoteženi sistem kazalnikov, strateški management, javni zdravstveni zavod, merjenje uspešnosti, strateški kazalniki
Published in ReVIS: 21.09.2017; Views: 3809; Downloads: 0

342.
Projektni management v slovenski vojski : magistrsko delo
Bojan Zevnik, 2011, master's thesis

Keywords: vojaška organizacija, projektni management, informacijski sistem, projekt
Published in ReVIS: 21.09.2017; Views: 3320; Downloads: 137
.pdf Full text (926,21 KB)

343.
Uvajanje managementa celovite kakovosti v državni upravi in predlog izboljšav orodij za njegovo učinkovito uporabo : doktorska disertacija
Valentin Areh, 2015, doctoral dissertation

Keywords: državna uprava, javna uprava, reforma, management, vodenje, kvaliteta, ekonomski modeli, ocenjevanje, disertacije
Published in ReVIS: 31.08.2017; Views: 3449; Downloads: 240
.pdf Full text (2,66 MB)

344.
Izpopolnjevanje koncepta vitke proizvodnje na osnovi managementa znanja : magistrska naloga
Špela Rošer, 2017, master's thesis

Keywords: vitka proizvodnja, management znanja, avtomobilska industrija
Published in ReVIS: 05.06.2017; Views: 4776; Downloads: 160
.pdf Full text (4,01 MB)

345.
Analiza prepoznavnosti blagovne znamke Nivedur : magistrska naloga
Ingrid Prah, 2016, master's thesis

Keywords: blagovna znamka, prepoznavnost, oglaševanje, management znanja, Nivedur
Published in ReVIS: 05.06.2017; Views: 4737; Downloads: 210
.pdf Full text (1,03 MB)

346.
Posebnosti oblikovanja strategije vstopa na tuje trge za družinska podjetja z inovativnimi izdelki : magistrska naloga
Lucian Perger, 2015, master's thesis

Keywords: strategija vstopa na tuje trge, tuji trgi, podjetja, družinska podjetja, inovativnost, management znanja
Published in ReVIS: 03.03.2017; Views: 5017; Downloads: 258
.pdf Full text (1,25 MB)

347.
Student data mining solution - knowledge management system related to higher education institutions
Srečko Natek, Moti Zwilling, 2014, original scientific article

Abstract: Higher education institutions (HEIs) are often curious whether students will be successful or not during their study. Before or during their courses the academic institutions try to estimate the percentage of successful students. But is it possible to predict the success rate of students enrolled in their courses? Are there any specific student characteristics, which can be associated with the student success rate? Is there any relevant student data available to HEIs on the basis of which they could predict the student success rate? The answers to the above research questions can generally be obtained using data mining tools. Unfortunately, data mining algorithms work best with large data sets, while student data, available to HEIs, related to courses are limited and falls into the category of small data sets. Thus, the study focuses on data mining for small student data sets and aims to answer the above research questions by comparing two different data mining tools. The conclusions of this study are very promising and will encourage HEIs to incorporate data mining tools as an important part of their higher education knowledge management systems.
Keywords: data mining, knowledge management system, student's success rate, data mining for small data set, higher education institutions, educational data mining
Published in ReVIS: 19.02.2016; Views: 8005; Downloads: 329  (1 vote)
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