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EDBT
2004
ACM
142views Database» more  EDBT 2004»
14 years 10 months ago
Iterative Incremental Clustering of Time Series
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dim...
EDBT
2006
ACM
150views Database» more  EDBT 2006»
14 years 10 months ago
On Futuristic Query Processing in Data Streams
Recent advances in hardware technology have resulted in the ability to collect and process large amounts of data. In many cases, the collection of the data is a continuous process ...
Charu C. Aggarwal
EDBT
2006
ACM
191views Database» more  EDBT 2006»
14 years 10 months ago
Parallelizing Skyline Queries for Scalable Distribution
Skyline queries help users make intelligent decisions over complex data, where different and often conflicting criteria are considered. Current skyline computation methods are rest...
Ping Wu, Caijie Zhang, Ying Feng, Ben Y. Zhao, Div...
EDBT
2008
ACM
149views Database» more  EDBT 2008»
14 years 10 months ago
A probabilistic trust model for semantic peer to peer systems
Semantic peer to peer (P2P) systems are fully decentralized overlay networks of people or machines (called peers) sharing and searching varied resources (documents, videos, photos...
Gia Hien Nguyen, Philippe Chatalic, Marie-Christin...
EDBT
2008
ACM
123views Database» more  EDBT 2008»
14 years 10 months ago
XML data integration in SixP2P: a theoretical framework
In the paper we discuss the problem of data integration in a P2P environment. In such setting each peer stores schema of its local data, mappings between the schema and schemas of...
Tadeusz Pankowski