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KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 5 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
139
Voted
KDD
2001
ACM
118views Data Mining» more  KDD 2001»
16 years 5 months ago
Infominer: mining surprising periodic patterns
In this paper, we focus on mining surprising periodic patterns in a sequence of events. In many applications, e.g., computational biology, an infrequent pattern is still considere...
Jiong Yang, Wei Wang 0010, Philip S. Yu
ICDM
2009
IEEE
110views Data Mining» more  ICDM 2009»
15 years 11 months ago
Finding Maximal Fully-Correlated Itemsets in Large Databases
—Finding the most interesting correlations among items is essential for problems in many commercial, medical, and scientific domains. Much previous research focuses on finding ...
Lian Duan, William Nick Street
COMPLEX
2009
Springer
15 years 11 months ago
Transforming Time Series into Complex Networks
We introduce transformations from time series data to the domain of complex networks which allow us to characterise the dynamics underlying the time series in terms of topological ...
Michael Small, Jie Zhang, Xiaoke Xu
155
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INFOCOM
2007
IEEE
15 years 11 months ago
A Framework for Multi-Objective SLA Compliance Monitoring
Abstract— Service level agreements (SLAs) specify performance guarantees made by service providers, typically in terms of packet loss, delay, delay variation, and network availab...
Joel Sommers, Paul Barford, Nick G. Duffield, Amos...