Repozitorij samostojnih visokošolskih in višješolskih izobraževalnih organizacij

Iskanje po repozitoriju
A+ | A- | Pomoč | SLO | ENG

Iskalni niz: išči po
išči po
išči po
išči po

Možnosti:
  Ponastavi


1 - 3 / 3
Na začetekNa prejšnjo stran1Na naslednjo stranNa konec
1.
Student data mining solution - knowledge management system related to higher education institutions
Srečko Natek, Moti Zwilling, 2014

Opis: 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.
Najdeno v: ključnih besedah
Ključne besede: data mining, knowledge management system, student's success rate, data mining for small data set, higher education institutions, educational data mining
Objavljeno: 19.02.2016; Ogledov: 7675; Prenosov: 324 (1 glas)
URL Celotno besedilo (0,00 KB)
Gradivo ima več datotek! Več...

2.
Future knowledge and process pattern recognition in weakly defined organizational formations
Jernej Agrež, 2016

Opis: Customer knowledge as an influence on service provider’s business processes during emergencies is an interesting and relevant research topic. The aim of this research was to identify possible emergency response process improvements based on existing learning processes, and possible future knowledge exchange improvements. I reached the predefined objective, i.e. to identify how customer knowledge influences providers’ business processes and consequently triggers social impact, by conducting extensive work on all five parts of the thesis. I confirmed that the customer-provider relation based on customer knowledge exists and appears in several different forms. Finally, I identified possible improvements of the research and possibilities for further research by applying the designed methodological framework network analysis on a broader geographical scale. A significant contribution of this thesis is the integration of three fields of management: business process management, knowledge management, and disaster management. The research focuses on identifying knowledge-based customer-provider relations by emphasizing customer knowledge as an influence on provider’s business processes and possible consequential social impact. By studying these relations, I went beyond the usual comfort zone of conventional formal organizations and employed a loosely coupled system which emerges as a flood response mechanism during flood events.
Najdeno v: ključnih besedah
Ključne besede: business process management, knowledge management, disaster management, public safety, loosely coupled systems, customer knowledge, flood events
Objavljeno: 22.08.2018; Ogledov: 2315; Prenosov: 150
.pdf Celotno besedilo (5,32 MB)

3.
Usage of AI in sustainable knowledge management and innovation processes
Lea Kocjančič, Sergej Gričar, 2023

Najdeno v: ključnih besedah
Ključne besede: artificial intelligence, sustainable knowledge management, electricity sector, innovation, econometrics
Objavljeno: 20.11.2023; Ogledov: 291; Prenosov: 13
URL Celotno besedilo (0,00 KB)
Gradivo ima več datotek! Več...

Iskanje izvedeno v 0 sek.
Na vrh