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.

Content type: Research
| 18 July 2019

Medicare fraud detection using neural networks

Authors: Justin M. Johnson and Taghi M. Khoshgoftaar
Content type: Research
| 17 July 2019

A machine learning approach to analyze customer satisfaction from airline tweets

Authors: Sachin Kumar and Mikhail Zymbler
Content type: Research
| 11 July 2019

Resolving intravoxel white matter structures in the human brain using regularized regression and clustering

Authors: Andrea Hart, Brianna Smith, Sean Smith, Elijah Sales, Jacqueline Hernandez-Camargo, Yarlin Mayor Garcia, Felix Zhan, Lori Griswold, Brian Dunkelberger, Michael R. Schwob, Sharang Chaudhry, Justin Zhan, Laxmi Gewali and Paul Oh
Content type: Survey paper
| 6 July 2019

A survey on Image Data Augmentation for Deep Learning

Authors: Connor Shorten and Taghi M. Khoshgoftaar
Content type: Research
| 4 July 2019

The anatomy of the data-driven smart sustainable city: instrumentation, datafication, computerization and related applications

Authors: Simon Elias Bibri

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Content type: Research
| 24 February 2015

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: Methodology
| 16 June 2015

Sentiment analysis using product review data

Authors: Xing Fang and Justin Zhan
Content type: Survey paper
| 1 October 2015

Big data analytics: a survey

Authors: Chun-Wei Tsai, Chin-Feng Lai, Han-Chieh Chao and Athanasios V. Vasilakos
Content type: Survey paper
| 24 June 2014

A review of data mining using big data in health informatics

Authors: Matthew Herland, Taghi M Khoshgoftaar and Randall Wald
Content type: Survey paper
| 5 November 2015

A survey of open source tools for machine learning with big data in the Hadoop ecosystem

Authors: Sara Landset, Taghi M. Khoshgoftaar, Aaron N. Richter and Tawfiq Hasanin

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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.

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Advanced Soft Computing Methodologies and Applications in Social Media Big Data Analytics

Lead Guest Editor

Zhiyong Zhang, Distinguished Professor, Henan University of Science & Technology, China

Guest Editors

Kun Hua, Lawrence Technology University, USA
Arun Kumar Sangaiah, VIT University, India

Journal of Big Data

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

Articles

Medicare fraud detection using neural networks

A machine learning approach to analyze customer satisfaction from airline tweets

Resolving intravoxel white matter structures in the human brain using regularized regression and clustering

A survey on Image Data Augmentation for Deep Learning

The anatomy of the data-driven smart sustainable city: instrumentation, datafication, computerization and related applications

Deep learning applications and challenges in big data analytics

Sentiment analysis using product review data

Big data analytics: a survey

A review of data mining using big data in health informatics

A survey of open source tools for machine learning with big data in the Hadoop ecosystem

Aims and scope

Open Article Collection

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