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Social media plays an increasingly important role in people’s life. Microblogging is a form of social media which allows people to share and disseminate real-life events. Broadcasting events in microblogging networks can be an effective method of creating awareness, divulging important information, and so on. However, many existing approaches at dissecting the information content primarily discuss...
This work exploits modeling spatial correlation in 2.5D data using Gaussian Processes (GPs), and produces constrained sampling realizations on these models to improve certainty in the predictions by means of integrating additional sparse information. Data organized in 2.5D such as elevation and thickness maps has been extensively studied in the fields of robotics and geostatistics. These maps are...
This article researches on node importance ranking of multiplex network. Existing node importance ranking methods are amost monoplex network using only single relationship. However, in real life a person often has various relationships, so how to rank nodes of multiplex network is more realistic and meaningful. In this article, we propose a multiplex network node ranking method based on weighted aggregation...
In cloud computing, complex data analysis usually requires accessing multiple data sets. Existing MapReduce-based multi-join mechanism implements the join of multiple data sets by cascade method, which is flexible but poor efficiency. The paper analyzes existing concurrent join models and proposes a Two-Dimension Reducer matrix based Hierarchized Multi-Join model (TD-HMJ). TD-HMJ handles all the "key"...
Radar high-resolution range profiles (HRRPs) are typical high-dimensional, non-Gaussian and interdimension dependently distributed data, the statistical modelling of which is a challenging task for HRRP based target recognition. Assuming the HRRP data follow interdimension dependent Gaussian distribution, factor analysis (FA) was recently applied to describe radar HRRPs and a two-phase procedure was...
Text visualization becomes an increasingly more important research topic as the need to understand massive-scale textual information is proven to be imperative for many people and businesses. However, it is still very challenging to design effective visual metaphors to represent large corpora of text due to the unstructured and high-dimensional nature of text. In this paper, we propose a data model...
To enable rigorous and reliable modeling of functional mechanisms of membrane proteins, the computational modeling and simulation approaches must take advantage, to the fullest extent possible, of the wealth of data obtained experimentally. This type of information makes it possible not only to construct rigorous molecular models and quantitative representations of function, but also to test, verify...
The network dynamic evaluation is in the proven prescription legal science has truthfully given the trusted degree of the network from the real network to the simulation experiment evaluation concrete model and the realization process. The network modelling process uses the extraction real network data, establishes the simulation environment, under the simulation environment destructive collapse test...
Online learning is the primary object in today's digital learning environment, so analyzing learnerspsila online learning behaviors are necessary to development of online learning platforms and educational resources, to help teachers designing and organizing the curriculum, to guild learners studying more effectively. This paper constructs a intelligent online learning behavior analysis system based...
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