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» Presenting Data from Experiments in Algorithmics
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145
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SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 7 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
104
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CSDA
2007
115views more  CSDA 2007»
15 years 2 months ago
Algorithms for compact letter displays: Comparison and evaluation
Multiple pairwise comparisons are one of the most frequent tasks in applied statistics. In this context, letter displays may be used for a compact presentation of results of multi...
Jens Gramm, Jiong Guo, Falk Hüffner, Rolf Nie...
ICDE
2008
IEEE
161views Database» more  ICDE 2008»
16 years 4 months ago
COLR-Tree: Communication-Efficient Spatio-Temporal Indexing for a Sensor Data Web Portal
Abstract-- We present COLR-Tree, an abstraction layer designed to support efficient spatio-temporal queries on live data gathered from a large collection of sensors. We use COLR-Tr...
Yanif Ahmad, Suman Nath
121
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FIMI
2003
170views Data Mining» more  FIMI 2003»
15 years 4 months ago
kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets
This paper presents the implementation of kDCI, an enhancement of DCI [10], a scalable algorithm for discovering frequent sets in large databases. The main contribution of kDCI re...
Salvatore Orlando, Claudio Lucchese, Paolo Palmeri...
GCCB
2006
15 years 6 months ago
Accelerated microRNA-Precursor Detection Using the Smith-Waterman Algorithm on FPGAs
During the last few years more and more functionalities of RNA have been discovered that were previously thought of being carried out by proteins alone. One of the most striking di...
Patrick May, Gunnar W. Klau, Markus Bauer, Thomas ...