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CIKM
2009
Springer
13 years 11 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
KDD
2007
ACM
143views Data Mining» more  KDD 2007»
14 years 8 months ago
Mining Research Communities in Bibliographical Data
Abstract. Extracting information from very large collections of structured, semistructured or even unstructured data can be a considerable challenge when much of the hidden informa...
Osmar R. Zaïane, Jiyang Chen, Randy Goebel
AUSDM
2007
Springer
140views Data Mining» more  AUSDM 2007»
14 years 2 months ago
The application of data mining techniques to characterize agricultural soil profiles
The advances in computing and information storage have provided vast amounts of data. The challenge has been to extract knowledge from this raw data; this has lead to new methods ...
Leisa Armstrong, Dean Diepeveen, Rowan Maddern
SAC
2010
ACM
13 years 8 months ago
Semantics for intelligent delivery of multimedia content
This paper describes a new generic metadata model, called CAM Metamodel, that merges altogether information about content, services, physical and technical environment in order to...
Ioan Marius Bilasco, Samir Amir, Patrick Blandin, ...
CIKM
2009
Springer
14 years 2 months ago
Towards non-directional Xpath evaluation in a RDBMS
XML query languages use directional path expressions to locate data in an XML data collection. They are tightly coupled to the structure of a data collection, and can fail when ev...
Sourav S. Bhowmick, Curtis E. Dyreson, Erwin Leona...