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CIKM
2009
Springer
15 years 9 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
CIKM
2008
Springer
15 years 8 months ago
Classifying networked entities with modularity kernels
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Dell Zhang, Robert Mao
CIKM
2008
Springer
15 years 8 months ago
Scaling up duplicate detection in graph data
Duplicate detection determines different representations of realworld objects in a database. Recent research has considered the use of relationships among object representations t...
Melanie Herschel, Felix Naumann
CIKM
2008
Springer
15 years 8 months ago
Summarization of social activity over time: people, actions and concepts in dynamic networks
We present a framework for automatically summarizing social group activity over time. The problem is important in understanding large scale online social networks, which have dive...
Yu-Ru Lin, Hari Sundaram, Aisling Kelliher
CIKM
2008
Springer
15 years 8 months ago
A note on search based forecasting of ad volume in contextual advertising
In contextual advertising, estimating the number of impressions of an ad is critical in planning and budgeting advertising campaigns. However, producing this forecast, even within...
Xuerui Wang, Andrei Z. Broder, Marcus Fontoura, Va...