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
| 12 September 2019

Evaluating the performance of sentence level features and domain sensitive features of product reviews on supervised sentiment analysis tasks

Authors: Bagus Setya Rintyarna, Riyanarto Sarno and Chastine Fatichah
Content type: Research
| 7 September 2019

Advancing community detection using Keyword Attribute Search

Authors: Sanket Chobe and Justin Zhan
Content type: Research
| 5 September 2019

Multi-dimensional geospatial data mining in a distributed environment using MapReduce

Authors: Mazin Alkathiri, Abdul Jhummarwala and M. B. Potdar
Content type: Research
| 31 August 2019

Analysis and classification of heart diseases using heartbeat features and machine learning algorithms

Authors: Fajr Ibrahem Alarsan and Mamoon Younes
Content type: Case Study
| 29 August 2019

Using electronic transaction data to add geographic granularity to official estimates of retail sales

Authors: Brian Dumbacher, Darcy Steeg Morris and Carma Hogue

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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

Evaluating the performance of sentence level features and domain sensitive features of product reviews on supervised sentiment analysis tasks

Advancing community detection using Keyword Attribute Search

Multi-dimensional geospatial data mining in a distributed environment using MapReduce

Analysis and classification of heart diseases using heartbeat features and machine learning algorithms

Using electronic transaction data to add geographic granularity to official estimates of retail sales

Aims and scope

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