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SIGMOD
2006
ACM
238views Database» more  SIGMOD 2006»
16 years 3 months ago
Continuous monitoring of top-k queries over sliding windows
Given a dataset P and a preference function f, a top-k query retrieves the k tuples in P with the highest scores according to f. Even though the problem is well-studied in convent...
Kyriakos Mouratidis, Spiridon Bakiras, Dimitris Pa...
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
16 years 3 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
16 years 3 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
136views Database» more  SIGMOD 2003»
16 years 3 months ago
A Characterization of the Sensitivity of Query Optimization to Storage Access Cost Parameters
Most relational query optimizers make use of information about the costs of accessing tuples and data structures on various storage devices. This information can at times be off b...
Frederick Reiss, Tapas Kanungo
PODS
2008
ACM
128views Database» more  PODS 2008»
16 years 3 months ago
Shape sensitive geometric monitoring
A fundamental problem in distributed computation is the distributed evaluation of functions. The goal is to determine the value of a function over a set of distributed inputs, in ...
Izchak Sharfman, Assaf Schuster, Daniel Keren
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