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GECCO
2005
Springer
146views Optimization» more  GECCO 2005»
15 years 7 months ago
An empirical study of the robustness of two module clustering fitness functions
Two of the attractions of search-based software engineering (SBSE) derive from the nature of the fitness functions used to guide the search. These have proved to be highly robust...
Mark Harman, Stephen Swift, Kiarash Mahdavi
118
Voted
RAID
2010
Springer
15 years 6 days ago
On Challenges in Evaluating Malware Clustering
Malware clustering and classification are important tools that enable analysts to prioritize their malware analysis efforts. The recent emergence of fully automated methods for ma...
Peng Li, Limin Liu, Debin Gao, Michael K. Reiter
SDM
2009
SIAM
251views Data Mining» more  SDM 2009»
15 years 11 months ago
High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
Alok N. Choudhary, Arifa Nisar, Waseem Ahmad, Wei-...
TPDS
2008
130views more  TPDS 2008»
15 years 1 months ago
NFS-CD: Write-Enabled Cooperative Caching in NFS
We present the Network File System with Cluster Delegation (NFS-CD), an enhancement to the NFSv4 that reduces server load and increases the scalability of distributed file systems ...
Alexandros Batsakis, Randal C. Burns
131
Voted
IPMI
2009
Springer
15 years 8 months ago
Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics
In this paper, we present a manifold clustering method for the classification of fibers obtained from diffusion tensor images (DTI) of the human skeletal muscle. Using a linear ...
Radhouène Neji, Ahmed Besbes, Nikos Komodak...