Mining the applications to study at Lithuania's institutions of higher education using association rules
The secondary outcome of implementing the computerized application process for -studies at Lithuania's institutions of higher education is the availability of the collected data. An important problem is how to use this data effectively, e.g., how to extract some useful knowledge from it. Disco...
Saved in:
Main Authors: | Ieva Mitašiūnaitė, Gediminas Adomavičius |
---|---|
Format: | Article |
Language: | English |
Published: |
Vilnius University Press
2004-12-01
|
Series: | Lietuvos Matematikos Rinkinys |
Subjects: | |
Online Access: | https://www.journals.vu.lt/LMR/article/view/31713 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mining association rules in interval-based temporal sequences
by: ZHU Tian1, et al.
Published: (2009-01-01) -
Database anomaly detection model based on mining object-condition association rules
by: DAI Hua, et al.
Published: (2009-01-01) -
Association rules recommendation algorithm supporting recommendation nonempty
by: Ming HE, et al.
Published: (2017-10-01) -
Health promotion campaigns using social media: association rules mining and co-occurrence network analysis of Twitter hashtags
by: Atousa Ghahramani, et al.
Published: (2025-01-01) -
Using rule association to generate data collection policies
by: Pei CHEN, et al.
Published: (2021-10-01)