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20152020
most citedBig Data Computing Using Cloud-Based Technologies, Challenges and Future Perspectives

18 citations · 44 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.DC2020★ 1 cited

Wearable Internet of Things for Personalized Healthcare Study of Trends and Latent Research

Samiya Khan, Mansaf Alam

In this age of heterogeneous systems, diverse technologies are integrated to create application-specific solutions. The recent upsurge in acceptance of technologies such as cloud c…

cs.DC2019

A Spark ML driven preprocessing approach for deep learning based scholarly data applications

Samiya Khan, Xiufeng Liu, Mansaf Alam

Big data has found applications in multiple domains. One of the largest sources of textual big data is scientific documents and papers. Big scholarly data have been used in numerou…

cs.DC2019★ 6 cited

Storage Solutions for Big Data Systems: A Qualitative Study and Comparison

Samiya Khan, Xiufeng Liu, Syed Arshad Ali +1

Big data systems development is full of challenges in view of the variety of application areas and domains that this technology promises to serve. Typically, fundamental design dec…

cs.DC2017★ 18 cited

Big Data Computing Using Cloud-Based Technologies, Challenges and Future Perspectives

Samiya Khan, Kashish Ara Shakil, Mansaf Alam

The excessive amounts of data generated by devices and Internet-based sources at a regular basis constitute, big data. This data can be processed and analyzed to develop useful app…

cs.DC2017★ 2 cited

Workflow-Based Big Data Analytics in The Cloud Environment Present Research Status and Future Prospects

Samiya Khan, Kashish Ara Shakil, Mansaf Alam

Workflow is a common term used to describe a systematic breakdown of tasks that need to be performed to solve a problem. This concept has found best use in scientific and business…

cs.DC2015★ 7 cited

Cloud based Big Data Analytics: A Survey of Current Research and Future Directions

Samiya Khan, Kashish Ara Shakil, Mansaf Alam

The advent of the digital age has led to a rise in different types of data with every passing day. In fact, it is expected that half of the total data will be on the cloud by 2016.…