Network Filtering for Big Data: Triangulated Maximally Filtered Graph
نویسندگان
چکیده
منابع مشابه
Network Filtering for Big Data: Triangulated Maximally Filtered Graph
We propose a network-filtering method, the Triangulated Maximally Filtered Graph (TMFG), that provides an approximate solution to the Weighted Maximal Planar Graph problem. The underlying idea of TMFG consists in building a triangulation that maximizes a score function associated with the amount of information retained by the network. TMFG uses as weights any arbitrary similarity measure to arr...
متن کاملBayesian Conditional Density Filtering for Big Data
We propose a Conditional Density Filtering (C-DF) algorithm for efficient online Bayesian inference. C-DF adapts Gibbs sampling to the online setting, sampling from approximations to conditional posterior distributions obtained by tracking of surrogate conditional sufficient statistics as new data arrive. This tracking eliminates the need to store or process the entire data set simultaneously. ...
متن کاملApplication of Big Data Analytics in Power Distribution Network
Smart grid enhances optimization in generation, distribution and consumption of the electricity by integrating information and communication technologies into the grid. Today, utilities are moving towards smart grid applications, most common one being deployment of smart meters in advanced metering infrastructure, and the first technical challenge they face is the huge volume of data generated ...
متن کاملDirections for Big Data Graph Analytics Research
In the era of big data, interest in analysis and extraction of information from massive data graphs is increasing rapidly. This paper examines the field of graph analytics from a query processing point of view. Whether it be determination of shortest paths or finding patterns in a data graph matching a query graph, the issue is to find interesting characteristics or information content from gra...
متن کاملProviding Flexible File-Level Data Filtering for Big Data Analytics
The enormous amount of big data datasets impose the needs for effective data filtering technique to accelerate the analytics process. We propose a Versatile Searchable File System, VSFS, which provides a transparent, flexible and near real-time file-level data filtering service by searching files directly through the file system. Therefore, big data analytics applications can transparently util...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Complex Networks
سال: 2016
ISSN: 2051-1310,2051-1329
DOI: 10.1093/comnet/cnw015