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.

Sensor data quality: a systematic review

Authors: Hui Yie Teh, Andreas W. Kempa-Liehr and Kevin I-Kai Wang

Content type: Survey Paper

11 February 2020
Time-aware domain-based social influence prediction

Authors: Bilal Abu-Salih, Kit Yan Chan, Omar Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie and Abdulaziz Albahlal

Content type: Research

10 February 2020
A comparative dimensionality reduction study in telecom customer segmentation using deep learning and PCA

Authors: Maha Alkhayrat, Mohamad Aljnidi and Kadan Aljoumaa

Content type: Research

3 February 2020
Learning-based power prediction for geo-distributed Data Centers: weather parameter analysis

Authors: Somayyeh Taheri, Maziar Goudarzi and Osamu Yoshie

Content type: Research

29 January 2020
Decreasing the execution time of reducers by revising clustering based on the futuristic greedy approach

Authors: Ali Bakhthemmat and Mohammad Izadi

Content type: Research

9 January 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

Sensor data quality: a systematic review

Time-aware domain-based social influence prediction

A comparative dimensionality reduction study in telecom customer segmentation using deep learning and PCA

Learning-based power prediction for geo-distributed Data Centers: weather parameter analysis

Decreasing the execution time of reducers by revising clustering based on the futuristic greedy approach

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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