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» Distributed Monitoring of Frequent Items
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DAWAK
2009
Springer
13 years 9 months ago
TidFP: Mining Frequent Patterns in Different Databases with Transaction ID
Since transaction identifiers (ids) are unique and would not usually be frequent, mining frequent patterns with transaction ids, showing records they occurred in, provides an effic...
C. I. Ezeife, Dan Zhang
ADMA
2008
Springer
147views Data Mining» more  ADMA 2008»
14 years 3 days ago
Mining Supplemental Frequent Patterns
The process of resource distribution and load balance of a distributed P2P network can be described as the process of mining Supplement Frequent Patterns (SFPs) from query transact...
Yintian Liu, Yingming Liu, Tao Zeng, Kaikuo Xu, Ro...
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
14 years 5 months ago
A geometric approach to monitoring threshold functions over distributed data streams
Monitoring data streams in a distributed system is the focus of much research in recent years. Most of the proposed schemes, however, deal with monitoring simple aggregated values...
Izchak Sharfman, Assaf Schuster, Daniel Keren
MLDM
2007
Springer
13 years 12 months ago
Applying Frequent Sequence Mining to Identify Design Flaws in Enterprise Software Systems
In this paper we show how frequent sequence mining (FSM) can be applied to data produced by monitoring distributed enterprise applications. In particular we show how we applied FSM...
Trevor Parsons, John Murphy, Patrick O'Sullivan
PODS
2009
ACM
134views Database» more  PODS 2009»
14 years 6 months ago
An efficient rigorous approach for identifying statistically significant frequent itemsets
As advances in technology allow for the collection, storage, and analysis of vast amounts of data, the task of screening and assessing the significance of discovered patterns is b...
Adam Kirsch, Michael Mitzenmacher, Andrea Pietraca...