Journal of Big Data

Featured article: DIMPL: a distributed in-memory drone flight path builder system

Drones are increasingly being used to perform risky and labor intensive aerial tasks cheaply and safely. To ensure operating costs are low and flights autonomous, their flight plans must be pre-built. In existing techniques drone flight paths are not automatically pre-calculated based on drone capabilities and terrain information. This paper presents details of an automated flight plan builder DIMPL that pre-builds flight plans for drones tasked with surveying a large area to take photographs of electric poles to identify ones with hazardous vegetation overgrowth.

A comparison on visual prediction models for MAMO (multi activity-multi object) recognition using deep learning

Authors: Budi Padmaja, Madhu Bala Myneni and Epili Krishna Rao Patro

Content type: Research

18 March 2020
Investigating class rarity in big data

Authors: Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy and Richard A. Bauder

Content type: Research

16 March 2020
Prediction of ESG compliance using a heterogeneous information network

Authors: Ryohei Hisano, Didier Sornette and Takayuki Mizuno

Content type: Research

16 March 2020
Current landscape and influence of big data on finance

Authors: Md. Morshadul Hasan, József Popp and Judit Oláh

Content type: Research

12 March 2020
A comprehensive evaluation of ensemble learning for stock-market prediction

Authors: Isaac Kofi Nti, Adebayo Felix Adekoya and Benjamin Asubam Weyori

Content type: Research

11 March 2020

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Deep learning applications and challenges in big data analytics

Authors: Maryam M Najafabadi, Flavio Villanustre, Taghi M Khoshgoftaar, Naeem Seliya, Randall Wald and Edin Muharemagic

Content type: Research

24 February 2015
Big data analytics: a survey

Authors: Chun-Wei Tsai, Chin-Feng Lai, Han-Chieh Chao and Athanasios V. Vasilakos

Content type: Survey paper

1 October 2015
A survey of transfer learning

Authors: Karl Weiss, Taghi M. Khoshgoftaar and DingDing Wang

Content type: Survey paper

28 May 2016
A review of data mining using big data in health informatics

Authors: Matthew Herland, Taghi M Khoshgoftaar and Randall Wald

Content type: Survey paper

24 June 2014

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Aims and scope

The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.

Journal of Big Data

Featured article: DIMPL: a distributed in-memory drone flight path builder system

Articles

A comparison on visual prediction models for MAMO (multi activity-multi object) recognition using deep learning

Investigating class rarity in big data

Prediction of ESG compliance using a heterogeneous information network

Current landscape and influence of big data on finance

A comprehensive evaluation of ensemble learning for stock-market prediction

Deep learning applications and challenges in big data analytics

Big data analytics: a survey

A survey of transfer learning

A review of data mining using big data in health informatics

Aims and scope

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