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EDBT
2008
ACM
169views Database» more  EDBT 2008»
14 years 10 months ago
Efficient online top-K retrieval with arbitrary similarity measures
The top-k retrieval problem requires finding k objects most similar to a given query object. Similarities between objects are most often computed as aggregated similarities of the...
Prasad M. Deshpande, Deepak P, Krishna Kummamuru
ICDE
2010
IEEE
288views Database» more  ICDE 2010»
14 years 9 months ago
Global Iceberg Detection over Distributed Data Streams
In today's Internet applications or sensor networks we often encounter large amounts of data spread over many physically distributed nodes. The sheer volume of the data and ba...
Ashwin Lall, Haiquan (Chuck) Zhao, Jun Xu, Mitsuno...
EDBT
2009
ACM
96views Database» more  EDBT 2009»
14 years 4 months ago
Top-k dominant web services under multi-criteria matching
As we move from a Web of data to a Web of services, enhancing the capabilities of the current Web search engines with effective and efficient techniques for Web services retrieva...
Dimitrios Skoutas, Dimitris Sacharidis, Alkis Simi...
BTW
2007
Springer
154views Database» more  BTW 2007»
14 years 4 months ago
Integrating Query-Feedback Based Statistics into Informix Dynamic Server
: Statistics that accurately describe the distribution of data values in the columns of relational tables are essential for effective query optimization in a database management sy...
Alexander Behm, Volker Markl, Peter J. Haas, Kesha...
DAWAK
2007
Springer
14 years 4 months ago
Mining Top-K Multidimensional Gradients
Several business applications such as marketing basket analysis, clickstream analysis, fraud detection and churning migration analysis demand gradient data analysis. By employing g...
Ronnie Alves, Orlando Belo, Joel Ribeiro