Lessons Learned from the ECML/PKDD Discovery Challenge on the Atherosclerosis Risk Factors Data
1.
SYSNO ASEP
0083563
Document Type
J - Journal Article
R&D Document Type
Journal Article
Subsidiary J
Článek ve WOS
Title
Lessons Learned from the ECML/PKDD Discovery Challenge on the Atherosclerosis Risk Factors Data
Title
Poznatky z výzev ECML/PKDD konferencí o řešení problému dat o rizikových faktorech aterosklerózy
Author(s)
Berka, Petr (UIVT-O) Rauch, Jan (UIVT-O) Tomečková, Marie (UIVT-O)
Source Title
Computing and Informatics
- ISSN 1335-9150
Roč. 26, č. 3 (2007), s. 329-344
Number of pages
16 s.
Language
eng - English
Country
SK - Slovakia
Keywords
atherosclerosis risk ; data mining ; discovery challenge
Subject RIV
IN - Informatics, Computer Science
R&D Projects
1M06014 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
GA201/05/0325 GA ČR - Czech Science Foundation (CSF)
CEZ
AV0Z10300504 - UIVT-O (2005-2011)
UT WOS
000247846400007
Annotation
It becomes a good habit to organize a data mining cup, a competiton or a challenge at machine learning or data mining conferences. The main idea of the Discovery Challenge organized at the European Conferences on Principles and Praktice of Knowledge Discovery in Databases since 1999 was to encourage a colaborative research effort rather than a competition between data miners. Different data sets have been used for the Discovery Challenge workshops during the seven years. The paper summarizes our experience gained when organizing and evaluating the Discovery Challenge on the atherosclerosis risk factors data.
