[Big Data for Better Decisions] Research Trends in Big Data

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Ravindra Dastikop

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Nov 15, 2014, 4:38:32 AM11/15/14

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[PDF] BIG Science: A Collaborative Framework for Large Scale Research: SJ Hill, AR Morgan, KA Brown, A Mustafa, AI Cirstea… - 2014 ... project. In this poster, we propose a "Big Science" collaboration system that uses Human Computer Interaction, Artificial Intelligence and Big Data methods to identify project cohesion and create effective collaborative connections. ...

Do our "big data" in genetic analysis need to get bigger?:LA Baker - Psychophysiology, 2014Abstract Individual papers in this special issue might seem disappointing in their lack of discovery of specific genes of potential relevance to mental disorders. Yet, collectively, they yield information that could not be gleaned otherwise. Combining genome-wide complex ...

[HTML] High-Performance Computing and Big Data in Omics-Based Medicine: Merelli, H Pérez-Sánchez, S Gesing, D D'Agostino - BioMed Research International, 2014

Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Remote sensing big data computing: Challenges and opportunities: Y Ma, H Wu, L Wang, B Huang, R Ranjan, A Zomaya… - Future Generation …, 2014 Abstract As we have entered an era of high resolution earth observation, the RS data are undergoing an explosive growth. The proliferation of data also give rise to the increasing complexity of RS data, like the diversity and higher dimensionality characteristic of the ...

[HTML] Towards a Process to Guide Big Data Based Decision Support Systems for Business Processes: A Vera-Baquero, R Colomo-Palacios, O Molloy - Procedia Technology, 2014 Abstract Process performance improvement initiatives generally require the application of both knowledge management techniques and analysis tools to assist business users in decision making. Decision support systems (DSS) are a valuable asset to measure ...

A survey of clustering techniques for big data analysis

S Arora, I Chana - … The Next Generation Information Technology Summit ( …, 2014

Abstract—With the beginning of new era data has grown rapidly not only in size but also in

variety. There is a difficulty in analyzing such big data. Data mining is the technique in which useful information and hidden relationship among data is extracted. The traditional data ...

The Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits R Glass, S Callahan - 2014 [HTML]

ELTA: New Approach in Designing Business Intelligence Solutions in Era of Big Data

PM Marín-Ortega, V Dmitriyev, M Abilov, JM Gómez - Procedia Technology, 2014

Abstract Current work presents new approach for designing business intelligence solutions.

In the era of big data, former and robust analytical concepts and utilities needs to adopt

themselves to changed market circumstances. Main focus of the work is to address ...

'Big data'approaches to trauma outcome prediction and autonomous resuscitation.

S Yang, M Njoku, CF Mackenzie - British journal of hospital medicine (London, …, 2014

Massive clinical digital data routinely collected by high throughput biomedical devices

provide opportunities and challenges for optimal use. This article discusses how such data

are used in learning prediction models at level 1 trauma centres to support decision ...

Opinion: Building a 21st-century infrastructure for the social sciences

EF Moran, SL Hofferth, CC Eckel, D Hamilton… - Proceedings of the National …, 2014

... It is time to embrace the "big data" revolution and capitalize on advances in information technology

and data science as they apply to the specific needs and challenges of the social sciences (1).

In short, we need a new social science data infrastructure for the 21st century. ...