Knowledge discovery and data mining in psychology: Using decision trees to predict the Sensation Seeking Scale score
Knowledge discovery from data is an interdisciplinary research field combining technology and knowledge from domains of statistics, databases, machine learning and artificial intelligence. Data mining is the most important part of knowledge discovery process. The objective of this paper is twofold....
Main Author: | Andrej Kastrin |
---|---|
Format: | Article |
Language: | English |
Published: |
Slovenian Psychologists' Association
2008-12-01
|
Series: | Psihološka Obzorja |
Subjects: | |
Online Access: | http://psiholoska-obzorja.si/arhiv_clanki/2008_4/kastrin.pdf |
Similar Items
-
Respiratory Diseases, Malaria and Leishmaniasis: Temporal and Spatial Association with Fire Occurrences from Knowledge Discovery and Data Mining
by: Lucas Schroeder, et al.
Published: (2020-05-01) -
Database Issues in Knowledge Discovery and Data Mining
by: Chris Rainsford, et al.
Published: (1999-05-01) -
A Hybrid Information Mining Approach for Knowledge Discovery in Cardiovascular Disease (CVD)
by: Stefania Pasanisi, et al.
Published: (2018-04-01) -
Building evolving ontology maps for data mining and knowledge discovery in biomedical informatics
by: Gottgtroy, P, et al.
Published: (2011) -
Exploiting data mining techniques in the design of multidimensional schema for enhanced knowledge discovery
by: Usman, Muhammad
Published: (2013)