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ITNG
2006
IEEE
15 years 9 months ago
Closed Multidimensional Sequential Pattern Mining
We propose a new method, called closed multidimensional sequential pattern mining, for mining multidimensional sequential patterns. The new method is an integration of closed sequ...
Panida Songram, Veera Boonjing, Sarun Intakosum
CIKM
2009
Springer
15 years 7 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
EDBT
2002
ACM
123views Database» more  EDBT 2002»
16 years 3 months ago
UMiner: A Data Mining System Handling Uncertainty and Quality
In this paper we present UMiner, a new data mining system, which improves the quality of the data analysis results, handles uncertainty in the clustering & classification proce...
Christos Amanatidis, Maria Halkidi, Michalis Vazir...
DATAMINE
2007
103views more  DATAMINE 2007»
15 years 3 months ago
Relational peculiarity-oriented mining
Peculiarity rules are a new type of useful knowledge that can be discovered by searching the relevance among peculiar data. A main task in mining such knowledge is peculiarity iden...
Muneaki Ohshima, Ning Zhong, Yiyu Yao, Chunnian Li...
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
16 years 4 months ago
Mining relational data through correlation-based multiple view validation
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...
Hongyu Guo, Herna L. Viktor