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PVLDB
2008
107views more  PVLDB 2008»
13 years 8 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald
IFIP12
2008
13 years 10 months ago
Agent Based Frequent Set Meta Mining: Introducing EMADS
In this paper we: introduce EMADS, the Extendible Multi-Agent Data mining System, to support the dynamic creation of communities of data mining agents; explore the capabilities of ...
Kamal Ali Albashiri, Frans Coenen, Paul H. Leng
IPPS
2003
IEEE
14 years 2 months ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Xiaogang Li, Ruoming Jin, Gagan Agrawal
DAMON
2008
Springer
13 years 11 months ago
CAM conscious integrated answering of frequent elements and top-k queries over data streams
Frequent elements and top-k queries constitute an important class of queries for data stream analysis applications. Certain applications require answers for both frequent elements...
Sudipto Das, Divyakant Agrawal, Amr El Abbadi
VTC
2007
IEEE
130views Communications» more  VTC 2007»
14 years 3 months ago
Data Stream Processing Infrastructure for Intelligent Transport Systems
— Intelligence Transportation Systems are critical to improve the efficiency of modern transportation by reducing congestions, providing real time road conditions. A system that...
Eric Bouillet, Mark Feblowitz, Zhen Liu, Anand Ran...