Overview • Large, streaming data sets are increasingly the norm • Inference for Big Data has generally been non-Bayesian • Advantages of Bayes: complex models, coherent treatment of uncertainty, etc. We deliver: • SDA-Bayes, a framework for Streaming, Distributed, Asynchronous Bayesian inference • Experiments demonstrating streaming topic discovery with comparable predictive performance to non-...

The gradual evolution of mobile communication network into 4G is increasingly making the streaming media become a new attractive business. However, the service quality of mobile streaming media is urgent to be improved for better service. The relatively fair data scheduling mechanism, node data scheduling within cell and node data scheduling when switching cells are presented in terms of mobile...

With the growing popularity of streaming data model, processing queries over streaming data has become an important topic. Streaming data has received attention in a number of communities, including data mining, theoretical computer science, networking, and grid computing. We believe that streaming data processing involves challenges for compilers, which have not been addressed so far. Particul...

Vehicular Ad hoc Network (VANET) is a dynamic network environment that supports the transmission of any type data varies with size and delay constraints. VANET also enables to aid safety message forwarding in case emergency by means dissemination. The major problematic issues routing dissemination are broadcast storm. With advancements technology not only normal traffic but video streaming tran...

abstract— in this paper, a new extended method of multi criteria decision making based on fuzzy-topsis theory is introduced. fuzzy mcdm algorithm for determining the best choice among all possible choices when the data are fuzzy is also presented. using a new index leads to procedure for choosing fuzzy ideal and negative ideal solutions directly from the fuzzy data observed alternatives.in this...