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KDD
2009
ACM
181views Data Mining» more  KDD 2009»
15 years 4 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
ICDM
2009
IEEE
125views Data Mining» more  ICDM 2009»
15 years 4 months ago
A Fully Automated Method for Discovering Community Structures in High Dimensional Data
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
Jianhua Ruan
WABI
2009
Springer
142views Bioinformatics» more  WABI 2009»
15 years 4 months ago
Back-Translation for Discovering Distant Protein Homologies
Background: Frameshift mutations in protein-coding DNA sequences produce a drastic change in the resulting protein sequence, which prevents classic protein alignment methods from ...
Marta Gîrdea, Laurent Noé, Gregory Ku...
INFOCOM
2007
IEEE
15 years 3 months ago
Acyclic Type of Relationships Between Autonomous Systems
Abstract— The Internet connectivity in the Autonomous System (AS) level reflects the commercial relationship between ASes. A connection between two ASes could be of type custome...
Rami Cohen, Danny Raz
IMC
2004
ACM
15 years 2 months ago
A pragmatic approach to dealing with high-variability in network measurements
The Internet is teeming with high variability phenomena, from measured IP flow sizes to aspects of inferred router-level connectivity, but there still exists considerable debate ...
Walter Willinger, David Alderson, Lun Li