27 search results - page 4 / 6 » Capturing the Sudden Concept Drift in Process Mining |
KDD
2006
ACM
14 years 7 months ago
2006
ACM
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
IDA
2008
Springer
13 years 7 months ago
2008
Springer
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
KDD
2005
ACM
14 years 28 days ago
2005
ACM
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Commercial relational databases currently store vast amounts of real-world data. The data within these relational repositories are represented by multiple relations, which are int...