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» Mining frequent itemsets in time-varying data streams
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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
ICDE
2008
IEEE
110views Database» more  ICDE 2008»
14 years 10 months ago
Standing Out in a Crowd: Selecting Attributes for Maximum Visibility
In recent years, there has been significant interest in development of ranking functions and efficient top-k retrieval algorithms to help users in ad-hoc search and retrieval in da...
Muhammed Miah, Gautam Das, Vagelis Hristidis, Heik...
ICDE
2006
IEEE
119views Database» more  ICDE 2006»
14 years 10 months ago
Laws for Rewriting Queries Containing Division Operators
Relational division, also known as small divide, is a derived operator of the relational algebra that realizes a many-to-one set containment test, where a set is represented as a ...
Ralf Rantzau, Christoph Mangold
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 10 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis
VIS
2007
IEEE
149views Visualization» more  VIS 2007»
14 years 9 months ago
Time Dependent Processing in a Parallel Pipeline Architecture
Pipeline architectures provide a versatile and efficient mechanism for constructing visualizations, and they have been implemented in numerous libraries and applications over the p...
John Biddiscombe, Berk Geveci, Ken Martin, Kenn...