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» Global Iceberg Detection over Distributed Data Streams
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SIGMOD
2008
ACM
162views Database» more  SIGMOD 2008»
14 years 7 months ago
Event queries on correlated probabilistic streams
A major problem in detecting events in streams of data is that the data can be imprecise (e.g. RFID data). However, current state-ofthe-art event detection systems such as Cayuga ...
Christopher Ré, Dan Suciu, Julie Letchner, ...
ICDE
2006
IEEE
167views Database» more  ICDE 2006»
14 years 8 months ago
Better Burst Detection
A burst is a large number of events occurring within a certain time window. As an unusual activity, it's a noteworthy phenomenon in many natural and social processes. Many da...
Xin Zhang, Dennis Shasha
SIGKDD
2008
113views more  SIGKDD 2008»
13 years 7 months ago
On exploiting the power of time in data mining
We introduce the new paradigm of Change Mining as data mining over a volatile, evolving world with the objective of understanding change. While there is much work on incremental m...
Mirko Böttcher, Frank Höppner, Myra Spil...
SAS
2007
Springer
126views Formal Methods» more  SAS 2007»
14 years 1 months ago
Hierarchical Pointer Analysis for Distributed Programs
We present a new pointer analysis for use in shared memory programs running on hierarchical parallel machines. The analysis is motivated by the partitioned global address space lan...
Amir Kamil, Katherine A. Yelick
ECML
1997
Springer
13 years 11 months ago
Parallel and Distributed Search for Structure in Multivariate Time Series
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
Tim Oates, Matthew D. Schmill, Paul R. Cohen