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SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
14 years 6 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
DCOSS
2011
Springer
12 years 5 months ago
Planning the trajectories of multiple mobile sinks in large-scale, time-sensitive WSNs
—Controlled sink mobility has been shown to be very beneficial in lifetime prolongation of wireless sensor networks (WSNs) by avoiding the typical hot-spot problem near the sink...
Wint Yi Poe, Michael Beck, Jens B. Schmitt
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 6 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
BMCBI
2008
172views more  BMCBI 2008»
13 years 5 months ago
Compo: composite motif discovery using discrete models
Background: Computational discovery of motifs in biomolecular sequences is an established field, with applications both in the discovery of functional sites in proteins and regula...
Geir Kjetil Sandve, Osman Abul, Finn Drablø...
ICRA
2003
IEEE
110views Robotics» more  ICRA 2003»
13 years 11 months ago
Modelling of the human paralysed lower limb under FES
— The new generation of implanted neuroprostheses allows muscles to be controlled with fine accuracy, high selectivity and the repeatability of the muscle’s response can be ach...
David Guiraud, Philippe Poignet, Pierre-Brice Wieb...