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VLDB
2005
ACM
196views Database» more  VLDB 2005»
15 years 11 months ago
Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
Graham Cormode, S. Muthukrishnan, Irina Rozenbaum
179
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VLDB
2005
ACM
180views Database» more  VLDB 2005»
15 years 11 months ago
Cache-conscious Frequent Pattern Mining on a Modern Processor
In this paper, we examine the performance of frequent pattern mining algorithms on a modern processor. A detailed performance study reveals that even the best frequent pattern min...
Amol Ghoting, Gregory Buehrer, Srinivasan Parthasa...
VLDB
2005
ACM
177views Database» more  VLDB 2005»
15 years 11 months ago
Discovering Large Dense Subgraphs in Massive Graphs
We present a new algorithm for finding large, dense subgraphs in massive graphs. Our algorithm is based on a recursive application of fingerprinting via shingles, and is extreme...
David Gibson, Ravi Kumar, Andrew Tomkins
VLDB
2005
ACM
162views Database» more  VLDB 2005»
15 years 11 months ago
FiST: Scalable XML Document Filtering by Sequencing Twig Patterns
In recent years, publish-subscribe (pub-sub) systems based on XML document filtering have received much attention. In a typical pubsub system, subscribed users specify their inte...
Joonho Kwon, Praveen Rao, Bongki Moon, Sukho Lee
VLDB
2005
ACM
90views Database» more  VLDB 2005»
15 years 11 months ago
Tuning Schema Matching Software using Synthetic Scenarios
Most recent schema matching systems assemble multiple components, each employing a particular matching technique. The domain user must then tune the system: select the right compo...
Mayssam Sayyadian, Yoonkyong Lee, AnHai Doan, Arno...