Hasil untuk "cs.IR"

Jalil Elhassouni, Mehdi Bazzi, Abderrahim Qadi et al.

Special ISSUE VSST 2016

Jalil Elhassouni, Mehdi Bazzi, Abderrahim Qadi et al.

Special ISSUE VSST 2016 This paper proposes an ontological integration model for credit risk management. It is based on three ontologies; one is global describing credit risk management process and two other locals, the first, describes the credit granting process, and the second presents the concepts necessary for the monitoring of credit system. This paper also presents the technique used for matching between global ontology and local ontologies.

Tony Hansson, Leif Holmlid

CS Breathnach, J McHugh, T Lynch et al.

Tony Hansson, Leif Holmlid

Olivier Gandouet, Alain Jean-Marie

In this paper, we discuss the problem of estimating the number of "elephants'' in a stream of IP packets. First, the problem is formulated in the context of multisets. Next, we explore some of the theoretical space complexity of this problem, and it is shown that it cannot be solved with less than $\Omega (n)$ units of memory in general, $n$ being the number of different elements in the multiset. Finally, we describe an algorithm, based on Durand-Flajolet's LOGLOG algorithm coupled with a thinning of the packet stream, which returns an estimator of the number of elephants using a small amount of memory. This algorithm allows a good estimation for particular families of random multiset. The mean and variance of this estimator are computed. The algorithm is then tested on synthetic data.

Zita Žukauskaitė

Application of biosorbents for the determination of Cs and Pu isotopes in freshwater

Daiva Bartušienė

Monika Frėjutė-Rakauskienė

Kristina Šliavaitė

Sadik Rddad

Ilona Tamutienė

Artūras Tereškinas

Lina Šumskaitė

Aušra Maslauskaitė

Lilija Kublickienė

Artūras Tereškinas

Vaida Tretjakova

B. Predel