Big data: From beginning to future
Big data is a potential research area receiving considerable attention from academia and IT
communities. In the digital world, the amounts of data generated and stored have expanded …
communities. In the digital world, the amounts of data generated and stored have expanded …
Big data: challenges, opportunities, and realities
AK Bhadani, D Jothimani - Effective big data management and …, 2016 - igi-global.com
With the advent of Internet of Things (IoT) and Web 2.0 technologies, there has been a
tremendous growth in the amount of data generated. This chapter emphasizes on the need …
tremendous growth in the amount of data generated. This chapter emphasizes on the need …
Joint analysis of eco-efficiency and eco-innovation with common weights in two-stage network DEA: A big data approach
The joint investigation of economic growth and environmental impact has led research to
develop evaluation models on environmental and economic changes, especially on eco …
develop evaluation models on environmental and economic changes, especially on eco …
Food recognition using statistics of pairwise local features
Food recognition is difficult because food items are de-formable objects that exhibit
significant variations in appearance. We believe the key to recognizing food is to exploit the …
significant variations in appearance. We believe the key to recognizing food is to exploit the …
Performance evaluation of an independent time optimized infrastructure for big data analytics that maintains symmetry
Traditional data analytics tools are designed to deal with the asymmetrical type of data ie,
structured, semi-structured, and unstructured. The diverse behavior of data produced by …
structured, semi-structured, and unstructured. The diverse behavior of data produced by …
Evaluation on China's forestry resources efficiency based on big data
L Li, T Hao, T Chi - Journal of Cleaner Production, 2017 - Elsevier
The development of China's forestry resources has never been more challenging due to
serious problems such as shortage, inferiority and uneven distribution of forestry resources …
serious problems such as shortage, inferiority and uneven distribution of forestry resources …
Elastic extreme learning machine for big data classification
J Xin, Z Wang, L Qu, G Wang - Neurocomputing, 2015 - Elsevier
Abstract Extreme Learning Machine (ELM) and its variants have been widely used for many
applications due to its fast convergence and good generalization performance. Though the …
applications due to its fast convergence and good generalization performance. Though the …
Real-time distributed architecture for remote acoustic elderly monitoring in residential-scale ambient assisted living scenarios
Ambient Assisted Living (AAL) has become a powerful alternative to improving the life
quality of elderly and partially dependent people in their own living environments. In this …
quality of elderly and partially dependent people in their own living environments. In this …
[PDF][PDF] A study of the determinants affecting adoption of big data using integrated Technology Acceptance Model (TAM) and diffusion of innovation (DOI) in Malaysia
KWK Soon, CA Lee, P Boursier - International journal of applied …, 2016 - researchgate.net
Large private companies had shown interest in adopting big data technologies. The review
of literature and report from international industry analyst were being analyzed on the trends …
of literature and report from international industry analyst were being analyzed on the trends …
The impact of intention of use on the success of big data adoption via organization readiness factor
Big data is one of the most contemporary issues. It is innovative processing solutions for a
variety of new and existing data to provide real business benefits. Unless it is tied to …
variety of new and existing data to provide real business benefits. Unless it is tied to …