BIG dataSOCIAL network analysisALGORITHMSELECTRONIC data processingMost of the theories have considered big data as an interesting subject in the information technology domain. Big data is a term for describing huge databases that traditional methods in data processing suffer from analyz...
BigData Intelligence VA Results Entity AttributeDescription Assessment DescriptionAssessment name from the definition. CategoryCategory for the test result. Datasource NameName of the datasource. Datasource TypeDatabase type, for example: Oracle, MS-SQL, DB2, Sybase, Informix... ...
To model interactive computations, performed by the agent in complex systems based on Big Data, we extend the existing approach to GrC by introducing complex granules (c-granules or granules, for short). Many advanced tasks, concerning complex systems based on Big Data may be classified as ...
2015. Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks. arXiv preprint arXiv:1504.05319.Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Nathan Schneider, and Timothy Baldwin. 2015. Big data small data,...
This paper was explore a scientometric analysis of the research work in the emerging field of “Big Data” in recent years. Research on “Big Data” in the past few years, and in a short time has gained tremendous momentum. It is now considered...
DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging Brain imaging efforts are being increasingly devoted to decode the functioning of the human brain. Among neuroimaging techniques, resting-state fMRI (R-fMR... CG Yan,XD Wang,XN Zuo,... - 《Neuroinformatics》 被引量: 243发表...
If you’re willing to try out a different domain name, there are ways to make small changes that can still highlight your vision. Try a differenttop-level domain(or TLD), like .com and .io, because many TLDs are far less populated than the big ones (.com, .net, .org). You can...
Definitions To speed up the progress in the field of materials design, a number of challenges related to big data need to be addressed. This entry discusses these challenges and shows the semantic technologies that alleviate the problems related to Variety, Variability, Veracity and FAIRness....
Since it is difficult to deal with big data using traditional models and algorithms, predicting and estimating the characteristics of big data is very important. Remote sensing big data consist of many large-scale images that are extremely complex in terms of their structural, spectral, and textual...
and other utilities, to anything that makes a city more visually attractive or revitalizes a community.12Under this definition of public use, eminent domain began to encompass big business interests. General Motors took private land for a factory in the 1980s to create jobs and boost tax revenu...