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» Identifying Objects Using Cluster and Concept Analysis
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SIGSOFT
2008
ACM
16 years 3 months ago
A scalable technique for characterizing the usage of temporaries in framework-intensive Java applications
Framework-intensive applications (e.g., Web applications) heavily use temporary data structures, often resulting in performance bottlenecks. This paper presents an optimized blend...
Bruno Dufour, Barbara G. Ryder, Gary Sevitsky
PODS
2008
ACM
159views Database» more  PODS 2008»
16 years 3 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
BIBE
2003
IEEE
133views Bioinformatics» more  BIBE 2003»
15 years 8 months ago
A Computational Pipeline for Protein Structure Prediction and Analysis at Genome Scale
The tertiary (3D) structure of a protein contains the essential information for understanding the biological function of the protein at the molecular and cellular levels. Traditio...
Manesh J. Shah, Sergei Passovets, Dongsup Kim, Kyl...
BMCBI
2006
153views more  BMCBI 2006»
15 years 3 months ago
Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in ...
Hiro Takahashi, Takeshi Nemoto, Teruhiko Yoshida, ...
PLDI
2010
ACM
15 years 7 months ago
Detecting Inefficiently-Used Containers to Avoid Bloat
Runtime bloat degrades significantly the performance and scalability of software systems. An important source of bloat is the inefficient use of containers. It is expensive to cre...
Guoqing Xu, Atanas Rountev