En el siguiente ensayo, usted podrá encontrar encuestas que le brindaran información disponible en la pagina web del DANE, que le mostraran los diferentes estratos socioeconómicos en la ciudad de Medellín. El propósito de este ensayo es mostrar una relación entre los ingresos de los individuos y su felicidad. Dado a que la mayoría de la población de Medellín consta con bajos recursos y sufren necesidades por la falta de ciertas modalidades indispensables para sobrevivir, ellos son felices y están plenos con su estilo de vida.
This article is about the growth of Wikipedia and it's dynamics. This article basically speaks about the prediction of extent of world's knowledge accumulated in Wikipedia and the way in which edit wars help the accumulation of knowledge to develop a quality wikipedia article.
Using WebRTC we are trying to develop a prod-
uct called 'Ping' used for audio, mult-video, file
and screen sharing.
Ping uses WebRTC for the source of data
exchange and XMPP Server for signalling and
transporting.
Ping works on Browser to Browser connections
instead of naive client server approach.
Ping guarentees high scalability and upto 60%
more efficiency than existin
The efficiency of a query execution plan depends on the accuracy of the selectivity estimates given to the query optimiser by the cost model. The cost model makes simplifying assumptions in order to
produce said estimates in a timely manner. These assumptions lead to selectivity estimation errors that have dramatic effects on the quality of the resulting query execution plans. A convenient assumption that is ubiquitous among current cost models is to assume that attributes are independent with each other. However, it ignores potential correlations which can have a huge negative impact on the accuracy of the cost model. In this paper we attempt to relax the attribute value independence assumption without unreasonably deteriorating the accuracy of the cost model. We propose a novel approach based on a particular type of Bayesian networks called Chow-Liu trees to approximate the distribution of attribute values inside each relation of a database. Our results on
the TPC-DS benchmark show that our method is an order of magnitude.
more precise than other approaches whilst remaining reasonably efficient
in terms of time and space.