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Your search keyword '"Toubiana, A."' showing total 25 results
Start Over Author "Toubiana, A." Publication Type Books
25 results on '"Toubiana, A."'

3. Algeria

Author

Glasberg, Rebecca, primary, Allouche, Jean-Luc, additional, Bahloul, Joëlle, additional, Bensoussan, Albert, additional, Chemla, Patrick, additional, Cherki, Alice, additional, Dadoun, Roger, additional, Meller-Saïd, Line, additional, Mesguich, Daniel, additional, Naouri, Aldo, additional, Stora, Benjamin, additional, and Toubiana, Dany, additional

Published
2023
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7. Macrofoundations: Exploring the Situated Nature of Activity

Author

Christopher W. J. Steele, Timothy R. Hannigan, Vern L Glaser, Madeline Toubiana, Joel Gehman, Christopher W.J Steele, Timothy R. Hannigan, Vern L Glaser, Madeline Toubiana, Joel Gehman and Christopher W. J. Steele, Timothy R. Hannigan, Vern L Glaser, Madeline Toubiana, Joel Gehman, Christopher W.J Steele, Timothy R. Hannigan, Vern L Glaser, Madeline Toubiana, Joel Gehman

Published
2020

23. An adaptive security Framework for ad hoc networks.

Author

Badra, Mohamad, Toubiana, Vincent, Labiod, Houda, Raynaud, Laurent, and Gourhant, Yvon

Abstract

Security in Mobile Ad hoc NETworks (MANETs) is a very prolific research topic. Many original solutions have already been proposed to solve important security flaws regarding routing protocols conceived for these emerging networks. However many proposals just focus on a small part of the security problems and only few global framework have been proposed yet. In this paper we define a new framework that may be used to combine different security mechanisms and provide a global security solution. The global framework is thus very generic, allowing a large panel of security proposals to be implemented. To improve the security of the framework, a new structure, named MacroGraph, is defined applying multipath routing and trust management. Mainly, self-control, flexibility, adaptability, autonomy and distribution are the key features addressed in our architecture that fulfills application security requirements [ABSTRACT FROM AUTHOR]

Published
2007
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24. High Dimensional Visual Data Classification.

Author

Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Rangan, C. Pandu, Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Lévy, Pierre P, Le Grand, Bénédicte, Soto, Michel, Darago, Laszlo, and Toubiana, Laurent

Abstract

We present new visual data mining algorithms for interactive decision tree construction with large datasets. The size of data stored in the world is constantly increasing but the limits of current visual data mining (and visualization) methods concerning the number of items and dimensions of the dataset treated are well known (even with pixellisation methods). One solution to improve these methods is to use a higher-level representation of the data, for example a symbolic data representation. Our new interactive decision tree construction algorithms deal with interval and taxonomical data. With such a representation, we are able to deal with potentially very large datasets because we do not use the original data but higher-level data representation. Interactive algorithms are examples of new data mining approach aiming at involving more intensively the user in the process. The main advantages of this user-centered approach are the increased confidence and comprehensibility of the obtained model, because the user was involved in its construction and the possible use of human pattern recognition capabilities. We present some results we obtained on very large datasets. [ABSTRACT FROM AUTHOR]

Published
2007
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