Advertisement
Software
In many applications where moderate to large datasets are used, plotting relationships between pairs of variables can be problematic. A large number of observations will produce a scatter-plot which is difficu...
Big Data Analytics 2017 2:6
Published on: 13 March 2017
Review
The large amounts of data have created a need for new frameworks for processing. The MapReduce model is a framework for processing and generating large-scale datasets with parallel and distributed algorithms. ...
Big Data Analytics 2017 2:1
Published on: 1 March 2017
Research
Sentiment analysis becomes ubiquitous for a variety of applications used in marketing, commerce, and public sector. This has been raising a natural interest within the academic research and industry to develop...
Big Data Analytics 2017 2:5
Published on: 1 February 2017
Review
Link prediction is one of the most fundamental tasks in statistical network analysis, for which latent feature models have been widely used. As large-scale networks are available in various application domains...
Big Data Analytics 2017 2:3
Published on: 1 February 2017
Research
In this era of data science, many software vendors are rushing towards providing better solutions for data management, analytics, validation and security. The government, being one of the most important custom...
Big Data Analytics 2017 2:2
Published on: 10 January 2017
Software
Finding orthologous genes among multiple sequenced genomes is a primary step in comparative genomics studies. With the number of sequenced genomes increasing exponentially, comparative genomics becomes more po...
Big Data Analytics 2017 2:4
Published on: 10 January 2017
Review
Clustering is a key data mining task. This is the problem of partitioning a set of observations into clusters such that the intra-cluster observations are similar and the inter-cluster observations are dissimi...
Big Data Analytics 2016 1:13
Published on: 1 December 2016
Review
Neuromorphic Engineering has emerged as an exciting research area, primarily owing to the paradigm shift from conventional computing architectures to data-driven, cognitive computing. There is a diversity of w...
Big Data Analytics 2016 1:15
Published on: 1 December 2016
Review
The massive growth in the scale of data has been observed in recent years being a key factor of the Big Data scenario. Big Data can be defined as high volume, velocity and variety of data that require a new hi...
Big Data Analytics 2016 1:9
Published on: 1 November 2016
Research
Data-based modeling is becoming practical in predicting outcomes. In the era of big data, two practically conflicting challenges are eminent: (1) the prior knowledge on the subject is largely insufficient; (2)...
Big Data Analytics 2016 1:12
Published on: 1 November 2016
Research
Mixed Order Hyper Networks (MOHNs) are a type of neural network in which the interactions between inputs are modelled explicitly by weights that can connect any number of neurons. Such networks have a human re...
Big Data Analytics 2016 1:8
Published on: 1 October 2016
Research
To ensure the output quality, current crowdsourcing systems highly rely on redundancy of answers provided by multiple workers with varying expertise, however massive redundancy is very expensive and time-consu...
Big Data Analytics 2016 1:14
Published on: 1 October 2016
Research
Real world data analysis problems often require nonlinear methods to get successful prediction. Kernel methods, e.g. Kernelized Principal Component Analysis, are a common way to get nonlinear properties based ...
Big Data Analytics 2016 1:10
Published on: 28 September 2016
Research
Human movement such as physical work, exercise and sport activities can be analyzed to determine kinetic (force) and kinematic (motion) characteristics. In the past, proper assessment of force variables requir...
Big Data Analytics 2016 1:11
Published on: 28 September 2016
Review
Cyber security is vital to the success of today’s digital economy. The major security threats are coming from within, as opposed to outside forces. Insider threat detection and prediction are important mitigat...
Big Data Analytics 2016 1:6
Published on: 30 August 2016
Research
Deep learning techniques, particularly convolutional neural networks (CNNs), are poised for widespread application in the research fields of information retrieval and natural language processing. However, ther...
Big Data Analytics 2016 1:7
Published on: 30 August 2016
Meeting Report
The International Symposium “Advances in Systems Biology in Neurosciences” was held in February 2015 in Geneva. A hundred scientists with a variety of expertise gathered around the theme of human brain complex...
Big Data Analytics 2016 1:5
Published on: 30 August 2016
Review
With the explosion of social media sites and proliferation of digital computing devices and Internet access, massive amounts of public data is being generated on a daily basis. Efficient techniques/algorithms ...
Big Data Analytics 2016 1:2
Published on: 1 July 2016
Research
Population health management takes into account many determinants of health, including medical care, social and physical environments and related services, genetics, and individual behavior. Many different typ...
Big Data Analytics 2016 1:1
Published on: 1 July 2016
Review
This paper discusses the relationship between data science and population-based algorithms, which include swarm intelligence and evolutionary algorithms. We reviewed two categories of literature, which include...
Big Data Analytics 2016 1:3
Published on: 1 July 2016
Editorial
We would like to welcome you to Big Data Analytics, a pioneering multi-disciplinary open access and peer-reviewed journal, which welcomes cutting-edge articles describing biologically-inspired computational, theo...
Big Data Analytics 2016 1:4
Published on: 1 July 2016
