Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The concept of collaborative analytics is to accommodate reuse and collaboration in data analysis process through sharing of analytics methods, algorithms, and computation resources. Hover, realizing collaborative analytics is challenging due to the large data sets, high throughput and computational intensive requirements. In this demonstration,  present a cloud-based workflow management solution that allows collaborative analytics to run in the cloud computing environment. Our solution provides sharing of analytics resources, recommendation of analytic workflows, dynamic scheduling and provisioning for scalable data analytics, high availability through fault-tolerance, real-time monitoring and tracking of collaborative analytics status. Examples of a generic data mining analysis and climate change analytics are given to show that our work can be applied for a wide variety of study in the real-life world.
['Henry Kasim', 'Terence Hung', 'Xiaorong Li', 'William-Chandra Tjhi', 'Sifei Lu', 'Long Wang']
I am writing a research paper on a idea A cloud-based workflow management solution for collaborative analytics
[{"from": "human", "value": "I am writing a research paper on a idea A cloud-based workflow management solution for collaborative analytics"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The concept of collaborative analytics is to accommodate reuse and collaboration in data analysis process through sharing of analytics methods, algorithms, and computation resources. Hover, realizing collaborative analytics is challenging due to the large data sets, high throughput and computational intensive requirements. In this demonstration,  present a cloud-based workflow management solution that allows collaborative analytics to run in the cloud computing environment. Our solution provides sharing of analytics resources, recommendation of analytic workflows, dynamic scheduling and provisioning for scalable data analytics, high availability through fault-tolerance, real-time monitoring and tracking of collaborative analytics status. Examples of a generic data mining analysis and climate change analytics are given to show that our work can be applied for a wide variety of study in the real-life world."}]