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.

Internet of Things is a revolutionary approach for future technology enhancement: a review

Authors: Sachin Kumar, Prayag Tiwari and Mikhail Zymbler

Content type: Survey Paper

9 December 2019
Using transfer learning for smart building management system

Authors: Bens Pardamean, Hery Harjono Muljo, Tjeng Wawan Cenggoro, Bloomest Jansen Chandra and Reza Rahutomo

Content type: Research

7 December 2019
Evaluation of big data frameworks for analysis of smart grids

Authors: Mohammad Hasan Ansari, Vahid Tabatab Vakili and Behnam Bahrak

Content type: Research

3 December 2019
Lifelong Machine Learning and root cause analysis for large-scale cancer patient data

Authors: Gautam Pal, Xianbin Hong, Zhuo Wang, Hongyi Wu, Gangmin Li and Katie Atkinson

Content type: Case Study

3 December 2019
HybSMRP: a hybrid scheduling algorithm in Hadoop MapReduce framework

Authors: Abolfazl Gandomi, Midia Reshadi, Ali Movaghar and Ahmad Khademzadeh

Content type: Research

30 November 2019

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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
Sentiment analysis using product review data

Authors: Xing Fang and Justin Zhan

Content type: Methodology

16 June 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

Internet of Things is a revolutionary approach for future technology enhancement: a review

Using transfer learning for smart building management system

Evaluation of big data frameworks for analysis of smart grids

Lifelong Machine Learning and root cause analysis for large-scale cancer patient data

HybSMRP: a hybrid scheduling algorithm in Hadoop MapReduce framework

Deep learning applications and challenges in big data analytics

Sentiment analysis using product review data

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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