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PR
2007
81views more  PR 2007»
15 years 6 months ago
Mining evolving data streams for frequent patterns
A data stream is a potentially uninterrupted flow of data. Mining this flow makes it necessary to cope with uncertainty, as only a part of the stream can be stored. In this pape...
Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...
WWW
2009
ACM
16 years 7 months ago
Is there anything worth finding on the semantic web?
There has recently been an upsurge of interest in the possibilities of combining structured data and ad-hoc information retrieval from traditional hypertext. In this experiment, w...
Harry Halpin
VLDB
2007
ACM
104views Database» more  VLDB 2007»
16 years 7 months ago
Inverse Functions in the AquaLogic Data Services Platform
When integrating data from heterogeneous sources, it is often necessary to transform both the schemas and the data from the underlying sources in order to present the integrated d...
Nicola Onose, Vinayak R. Borkar, Michael J. Carey
EDBT
2006
ACM
169views Database» more  EDBT 2006»
16 years 6 months ago
Feedback-Driven Structural Query Expansion for Ranked Retrieval of XML Data
Relevance Feedback is an important way to enhance retrieval quality by integrating relevance information provided by a user. In XML retrieval, feedback engines usually generate an ...
Ralf Schenkel, Martin Theobald
IAT
2009
IEEE
16 years 1 months ago
Clustering with Constrained Similarity Learning
—This paper proposes a method of learning a similarity matrix from pairwise constraints for interactive clustering. The similarity matrix can be learned by solving an optimizatio...
Masayuki Okabe, Seiji Yamada