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SIGMOD
2004
ACM
147views Database» more  SIGMOD 2004»
14 years 9 months ago
Robust Query Processing through Progressive Optimization
Virtually every commercial query optimizer chooses the best plan for a query using a cost model that relies heavily on accurate cardinality estimation. Cardinality estimation erro...
Volker Markl, Vijayshankar Raman, David E. Simmen,...
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
14 years 9 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
SIGMOD
2003
ACM
146views Database» more  SIGMOD 2003»
14 years 9 months ago
Estimating Compilation Time of a Query Optimizer
A query optimizer compares alternative plans in its search space to find the best plan for a given query. Depending on the search space and the enumeration algorithm, optimizers v...
Ihab F. Ilyas, Jun Rao, Guy M. Lohman, Dengfeng Ga...
EDBT
2006
ACM
120views Database» more  EDBT 2006»
14 years 9 months ago
Similarity Search on Time Series Based on Threshold Queries
Similarity search in time series data is required in many application fields. The most prominent work has focused on similarity search considering either complete time series or si...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
EDBT
2006
ACM
191views Database» more  EDBT 2006»
14 years 9 months ago
Distributed Spatial Clustering in Sensor Networks
Abstract. Sensor networks monitor physical phenomena over large geographic regions. Scientists can gain valuable insight into these phenomena, if they understand the underlying dat...
Anand Meka, Ambuj K. Singh
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