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Data mining methodologies for supporting engineers during system identification

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Data Mining and Analysis on Twitter

Pulkit Goyal, Sapan Diwakar

With the tremendous growth of social networks, there has been a growth in the amount of new data that is being created every minute on these networking sites. Twitter acts as a great source of rich information for millions of users on the internet and ther ...

2012

Enabling effective problem-oriented research for sustainable development

Michael Lehning

Environmental problems caused by human activities are increasing; biodiversity is disappearing at an unprecedented rate, soils are being irreversibly damaged, freshwater is increasingly in short supply, and the climate is changing. To reverse or even to re ...

2012

Measurement System Configuration for Damage Identification of Continuously Monitored Structures

Ian Smith, Nizar Bel Hadj Ali, Ngoc Thanh Trinh, Irwanda Laory

Measurement system configuration is an important task in structural health monitoring in that decisions influence the performance of monitoring systems. This task is generally performed using only engineering judgment and experience. Such approach may resu ...

American Society of Civil Engineers2012

Unsupervised change detection with kernels

Devis Tuia

In this letter, an unsupervised kernel-based approach to change detection is introduced. Nonlinear clustering is utilized to partition in two a selected subset of pixels representing both changed and unchanged areas. Once the optimal clustering is obtained ...

Ieee-Inst Electrical Electronics Engineers Inc2012

High-Dimensional Bayesian Clustering with Variable Selection: The R Package bclus

Anthony Christopher Davison, Vahid Partovi Nia

The R package bclust is useful for clustering high-dimensional continuous data. The package uses a parametric spike-and-slab Bayesian model to downweight the effect of noise variables and to quantify the importance of each variable in agglomerative cluster ...

2012

Tailoring the time-dependent recovery of shape memory polymers

John Christopher Plummer, Charly David Azra

On application of heat, shape memory polymers (SMPs) are able to revert to a primary shape from a secondary shape induced by mechanical deformation. It may be desirable to induce shape recovery at controlled rates under quasi-isothermal conditions, e. g. i ...

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2012

Group Dynamics Findings from Coordination in Problem Solving and Decision Making Meetings

Pierre Dillenbourg, Patrick Jermann, Himanshu Verma, Flaviu Roman

We present the results of group dynamics and their effect on success in problem solving / decision making meetings. We use a novel multiple input environment for collaboration and data collection, and a hidden profile task given to groups, whose goals are ...

2012

Numerical Ecology with R

François Gillet, Daniel Borcard

Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the m ...

Springer2011

Hypergraph Clustering for Better Network Traffic Inspection

Boi Faltings, Li Pu

Networked computing environments are subject to configuration errors, unauthorized users, undesired activities and attacks by malicious software. These can be detected by monitoring network traffic, but network administrators are overwhelmed by the amount ...

2011

Introducing the Human Brain Project

Henry Markram, Richard Frackowiak

The Human Brain Project (HBP) is a candidate project in the European Union's FET Flagship Program, funded by the ICT Program in the Seventh Framework Program. The project will develop a new integrated strategy for understanding the human brain and a novel ...

Elsevier Science, Reg Sales Off, Customer Support Dept, 655 Ave Of The Americas, New York, Ny 10010 Usa2011