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NC
2006
132views Neural Networks» more  NC 2006»
13 years 6 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
CSDA
2010
173views more  CSDA 2010»
13 years 7 months ago
Time-varying joint distribution through copulas
This paper deals with the analysis of temporal dependence in multivariate highfrequency time series data. The dependence structure between the marginal series is modelled through ...
M. Concepcion Ausin, Hedibert F. Lopes
AIRWEB
2009
Springer
14 years 1 months ago
A study of link farm distribution and evolution using a time series of web snapshots
In this paper, we study the overall link-based spam structure and its evolution which would be helpful for the development of robust analysis tools and research for Web spamming a...
Young-joo Chung, Masashi Toyoda, Masaru Kitsuregaw...
IPPS
2005
IEEE
14 years 16 days ago
FROST: Revisited and Distributed
FROST (Fold Recognition-Oriented Search Tool) [6] is a software whose purpose is to assign a 3D structure to a protein sequence. It is based on a series of filters and uses a dat...
Vincent Poirriez, Rumen Andonov, Antoine Marin, Je...
SC
2005
ACM
14 years 15 days ago
A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L
Many emerging large-scale data science applications require searching large graphs distributed across multiple memories and processors. This paper presents a distributed breadth...
Andy Yoo, Edmond Chow, Keith W. Henderson, Will Mc...