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» Approximation in Databases
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121
Voted
EDBT
2004
ACM
142views Database» more  EDBT 2004»
16 years 2 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
2004
ACM
155views Database» more  EDBT 2004»
16 years 2 months ago
Processing Unions of Conjunctive Queries with Negation under Limited Access Patterns
We study the problem of answering queries over sources with limited access patterns. The problem is to decide whether a given query Q is feasible, i.e., equivalent to an executable...
Alan Nash, Bertram Ludäscher
EDBT
2006
ACM
121views Database» more  EDBT 2006»
16 years 2 months ago
A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries
In this paper we present a novel approach for estimating the selectivity of XML twig queries. Such a technique is useful for approximate query answering as well as for determining...
Chao Wang, Srinivasan Parthasarathy, Ruoming Jin
115
Voted
EDBT
2008
ACM
160views Database» more  EDBT 2008»
16 years 2 months ago
Why go logarithmic if we can go linear?: Towards effective distinct counting of search traffic
Estimating the number of distinct elements in a large multiset has several applications, and hence has attracted active research in the past two decades. Several sampling and sket...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
141
Voted
EDBT
2008
ACM
178views Database» more  EDBT 2008»
16 years 2 months ago
Compacting music signatures for efficient music retrieval
Music information retrieval is becoming very important with the ever-increasing growth of music content in digital libraries, peer-to-peer systems and the internet. While it is ea...
Bin Cui, H. V. Jagadish, Beng Chin Ooi, Kian-Lee T...