Titlebook: Big Data Analytics; Third International Srinath Srinivasa,Sameep Mehta Conference proceedings 2014 Springer International Publishing Switz

OMIT

NewsInstaMiner: Enriching News Article Using Instagram,ding images on Instagram. Most of these images are annotated with tags and captions which are high level descriptions of these images. So if a news event occurs, users might have captured the relevant images and share them on Instagram. We have observed that many images on Instagram are relevant to

OVERT

SARROD: SPARQL Analyzer and Reordering for Runtime Optimization on Big Data,llenges in processing these graphs in terms of scalability as the size of the graphs may become enormously big. Tremendous growth of the data size (and in turn the graph size) will have an impounding effect on the execution times of the queries on the graph. Although big data platforms such as Hadoo

FOVEA

IOTA

Lawrence P. Panych PhD,Junichi Tokuda PhDject. Work done in this paper is dedicated towards presenting the possible efficient ways available to store Electronic Health Records (EHRs). The main hurdles in storing EHRs are sparseness and volatility which relational model is incapable to handle. The other models present for storing EHRs are E

famine

QUAIL

G. R. Sutherland,T. Kaibara,D. F. Louw Data is actually characterized by the 4V’s – Volume, Variety, Velocity and Veracity. We propose a Big Data Stack and analytics solution that particularly caters to this important problem of addressing Variety and Velocity aspects of data by exploiting inherent relationship among data elements. A un

ligature

字形刻痕

Primary Colorectal EBRT and IOERTgines employ two-level ranking strategy. Firstly, initial list of documents is prepared using a low-quality ranking function that is less computationally expensive. Secondly, initial list is re-ranked by machine learning algorithms which involve expensive computation. The proposed approach explores

箴言

Hormones

Edwin C. McCullough,Peter J. Biggsany domains, there are far more applications whose description or implementation are available than those using service-enabled access. For example, in the environmental domain, analytical models (computational functions) are crucial to analyze collected sensor data, extrapolate them for uncovered b