A Survey on Data Analytics Framework

A Survey on Big Data Analytics in Data Mining

A Survey of Big Data Analytics

Due to the arrival of new technologies, devices, and communication means, the amount of data produced by mankind is growing rapidly every year. This gives rise to the era of big data. The term big data comes with the new challenges to input, process and output the data. The paper focuses on limitation of traditional approach to manage the data and the components that are useful in handling big ...

Towards a Self-service Data Analytics Framework

The need ‎for Self-service data analytics is inevitable as it supports the business in making the right decisions. In ‎this paper, we argue that self-service analytics frameworks should be based on a process-centric approach and ‎visualized selfservice components in order to meet current business demands. Further, we ‎enunciate the need for mainly three components: Map component, Process Flow c...

A Cloud-based Mobile Data Analytics Framework

Unobtrusive gathering of personal or environmental data using a smartphone can provide the basis for intelligent assistive services. Continuous gathering of data will result in huge amounts of data, especially if many users are involved. Ideally, one might want to keep a large amount of this raw data for future (and maybe different) analysis, and also analyse the data to produce a compact model...

A Cloud Framework for Big Data Analytics Workflows on Azure

Since digital data repositories are more and more massive and distributed, we need smart data analysis techniques and scalable architectures to extract useful information from them in reduced time. Cloud computing infrastructures offer an effective support for addressing both the computational and data storage needs of big data mining applications. In fact, complex data mining tasks involve dat...