Wednesday, September 18, 2013

Research Readings in BIG DATA

[HTML] Harnessing the Power of Big Data in Biological Research
ES McCulloch - BioScience, 2013
A data revolution is changing the face of science. Scientists are confronting research
challenges that require the analysis of large amounts of information on topics ranging from
global climate patterns to genetic blueprints. These big data challenges are often ...

[PDF] Storage Challenge: Where Will All That Big Data Go?

N Leavitt - Computer, 2013
Market research firm Aberdeen Group found that data growth has averaged about 35
percent annually in recent years, as Figure 1 shows. According to Aberdeen senior research
analyst Dick Csaplar, this means the amount of storage necessary to hold all this ...

[PDF] Comparing and Evaluating Semantic Data Automatically Extracted from Text,}

D Lawrie, T Finin, J Mayfield, P McNamee - … Symposium on Semantics for Big Data,, 2013
Abstract One way to obtain large amounts of semantic data is to extract facts from the vast
quantities of text that is now available online. The relatively low accuracy of current
information extraction techniques introduces a need for evaluating the quality of the ...

Towards valid estimates of activity energy expenditure using an accelerometer: searching for a proper analytical strategy and big data

AG Bonomi - Journal of Applied Physiology, 2013
Abstract Estimating energy expenditure and the metabolic response to physical activity is a
complex area of research, manifested by the increasingly sophisticated instruments and
methodologies being proposed in the literature. Wearable motion sensors such as ...

The Reliability of Big "Patient Satisfaction" Data

A Narayanan, M Greco, H Powell, L Coleman - 2013
... Big Data. About This Journal... The Reliability of Big "Patient Satisfaction" Data. To cite
this article: Ajit Narayanan, Michael Greco, Helen Powell, and Louise Coleman. Big Data.
September 2013, 1(3): 141-151. doi:10.1089/big.2013.0021. ...

Getting the Dirt on Big Data

KK Waterman, J Hendler - 2013
BD137 identifiers. This approach expands upon the comment of Anand Rajaraman that
''adding more, independent [emphasis added] data usually beats out designing ever-better
algorithms to analyze an existing data set.''5 While it would be very time-consuming and ...

[PDF] Interactive Data Exploration with "Big Data Tukey Plots"

P Schretlen, N Kronenfeld, D Gray, J McGeachie… - Proc. IEEE VIS, 2013
ABSTRACT Before testing hypotheses, confirmatory data analysis benefits from first
examining the data to suggest hypotheses to be tested. This is known as exploratory data
analysis (EDA). Our goal is to develop new automated tools to produce effective raw data ...

[HTML] Big data–from buzzword to strategy| Information Management| Functional know-how| Expertise| Roland Berger

RBS Consultants - 2013
Mainframe computers, desktop clients, smart phones, self-service machines and embedded
systems in vehicles or aircraft–all of these systems generate enormous volumes of data that
contain valuable information on business processes, products and customers. Although ...

Secured e-health data retrieval in DaaS and Big Data

D Shin, T Sahama, R Gajanayake - 2013
Big Data is a rising IT trend similar to cloud computing, social networking or ubiquitous
computing. Big Data can offer beneficial scenarios in the e-health arena. However, one of
the scenarios can be that Big Data needs to be kept secured for a long period of time in ...

Lessons Learned About Public Health from Online Crowd Surveillance

S Hill, R Merchant, L Ungar - 2013
... Big Data. About This Journal... Lessons Learned About Public Health from Online Crowd
Surveillance. To cite this article: Shawndra Hill, Raina Merchant, and Lyle Ungar. Big Data.
September 2013, 1(3): 160-167. doi:10.1089/big.2013.0020. ...

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