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» A theoretical analysis of the HIFF problem
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STOC
2003
ACM
178views Algorithms» more  STOC 2003»
15 years 10 months ago
Uniform hashing in constant time and linear space
Many algorithms and data structures employing hashing have been analyzed under the uniform hashing assumption, i.e., the assumption that hash functions behave like truly random fu...
Anna Östlin, Rasmus Pagh
PODS
2006
ACM
122views Database» more  PODS 2006»
15 years 9 months ago
Space- and time-efficient deterministic algorithms for biased quantiles over data streams
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
EDBT
2004
ACM
131views Database» more  EDBT 2004»
15 years 9 months ago
Declustering Two-Dimensional Datasets over MEMS-Based Storage
Due to the large difference between seek time and transfer time in current disk technology, it is advantageous to perform large I/O using a single sequential access rather than mu...
Hailing Yu, Divyakant Agrawal, Amr El Abbadi
ICDT
2010
ACM
180views Database» more  ICDT 2010»
15 years 7 months ago
Foundations of SPARQL Query Optimization
We study fundamental aspects related to the efficient processing of the SPARQL query language for RDF, proposed by the W3C to encode machine-readable information in the Semantic W...
Michael Schmidt, Michael Meier, Georg Lausen
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
15 years 7 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...