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EDBT
2009
ACM
218views Database» more  EDBT 2009»
14 years 2 months ago
Data integration flows for business intelligence
Business Intelligence (BI) refers to technologies, tools, and practices for collecting, integrating, analyzing, and presenting large volumes of information to enable better decisi...
Umeshwar Dayal, Malú Castellanos, Alkis Sim...
ESCIENCE
2007
IEEE
14 years 1 months ago
Binary Data Transfer Performance over High-Latency Networks Using Web Service Attachments
One of the objectives of e-Research is to help scientists to accomplish their research, including scientific experiments, more effectively and efficiently. Web services provide ...
Donglai Zhang, Paul D. Coddington, Andrew L. Wende...
BMCBI
2008
115views more  BMCBI 2008»
13 years 7 months ago
BioGraphE: high-performance bionetwork analysis using the Biological Graph Environment
Background: Graphs and networks are common analysis representations for biological systems. Many traditional graph algorithms such as k-clique, k-coloring, and subgraph matching h...
George Chin Jr., Daniel G. Chavarría-Mirand...
ICDE
2006
IEEE
134views Database» more  ICDE 2006»
14 years 1 months ago
Three Case Studies of Large-Scale Data Flows
We survey three examples of large-scale scientific workflows that we are working with at Cornell: the Arecibo sky survey, the CLEO high-energy particle physics experiment, and t...
William Y. Arms, Selcuk Aya, Manuel Calimlim, Jim ...
DMIN
2009
180views Data Mining» more  DMIN 2009»
13 years 5 months ago
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...