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» Opportunistic Data Structures with Applications
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99
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LREC
2010
174views Education» more  LREC 2010»
15 years 5 months ago
SINotas: the Evaluation of a NLG Application
SINotas is a data-to-text NLG application intended to produce short textual reports on students'academic performance from a database conveying their grades, weekly attendance...
Roberto P. A. Araujo, Rafael L. de Oliveira, Eder ...
ICDM
2008
IEEE
155views Data Mining» more  ICDM 2008»
15 years 10 months ago
Organic Pie Charts
We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex d...
Fabian Mörchen
136
Voted
EOR
2007
110views more  EOR 2007»
15 years 3 months ago
A hierarchical ant based clustering algorithm and its use in three real-world applications
In this paper is presented a new model for data clustering, which is inspired from the selfassembly behavior of real ants. Real ants can build complex structures by connecting the...
Hanene Azzag, Gilles Venturini, Antoine Oliver, Ch...
SC
2004
ACM
15 years 9 months ago
Big Wins with Small Application-Aware Caches
Large datasets, on the order of GB and TB, are increasingly common as abundant computational resources allow practitioners to collect, produce and store data at higher rates. As d...
Julio C. López, David R. O'Hallaron, Tianka...
150
Voted
BMCBI
2004
208views more  BMCBI 2004»
15 years 3 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein