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ISBI
2008
IEEE
14 years 8 months ago
Inferring brain dynamics using granger causality on fMRI data
Here we present a scalable method to compute the structure of causal links over large scale dynamical systems that achieves high efficiency in discovering actual functional connec...
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Ra...
BMCBI
2010
132views more  BMCBI 2010»
13 years 7 months ago
Data structures and compression algorithms for high-throughput sequencing technologies
Background: High-throughput sequencing (HTS) technologies play important roles in the life sciences by allowing the rapid parallel sequencing of very large numbers of relatively s...
Kenny Daily, Paul Rigor, Scott Christley, Xiaohui ...
HPCA
2009
IEEE
14 years 8 months ago
Techniques for bandwidth-efficient prefetching of linked data structures in hybrid prefetching systems
Linked data structure (LDS) accesses are critical to the performance of many large scale applications. Techniques have been proposed to prefetch such accesses. Unfortunately, many...
Eiman Ebrahimi, Onur Mutlu, Yale N. Patt
DOLAP
1999
ACM
13 years 11 months ago
Design and Selection of Materialized Views in a Data Warehousing Environment: A Case Study
In this paper, we describe the design of a data warehousing system for an engineering company ‘R’. This system aims to assist users in retrieving data for business analysis in...
Goretti K. Y. Chan, Qing Li, Ling Feng
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 7 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...