DAES 2017 - Third International Workshop on Data Analytics and Emerging Services (DAES)

Our workshop presents a summary of Data Analytics and Emerging Services (DAES), which offer innovative approaches of delivering services and making contributions to research and enterprise communities. Following the successful delivery of our previous workshops and conferences related to Cloud, Big Data, Internet of Things and Security, we maintain our passion to continue running this workshop. Previously it was known as Emerging Software as a Services and Analytics (ESaaSA). To reflect recent updates in the emerging trends, topics and collaborative conference, it is now known as DAES. We oversee the importance of DAES as a unique and rising field and all services in SaaS should always be designed, deployed and integrated. Emerging means innovative techniques and methods used for the traditional areas (finance, healthcare, education, security etc) or new areas (mobile apps, social networks, weather visualization, Big Data processing etc). We will seek papers to demonstrate proofs-of-concept, demonstrations, design and implementations, successful case studies and use cases of adopting DAES.
The focus of this workshop is to demonstrate new techniques, demonstrations and innovative approaches in DAES and analytics services. The impacts of research contributions are as follows.
Explain how to implement analytics, and their added values.
Demonstrate how DAES can be used in different case studies.
Describe how to resolve challenges in each of Cloud, Big Data, Internet of Things and Security scenario.
Provide reproducible steps for anyone to follow, and support reproducibility and innovation, two important aspects in Cloud, Big Data, Internet of Things and Security.
Explain how their Cloud, Big Data, Internet of Things and Security services can work effectively in production and real-time
Present how their services can make contributions to users involved in the use of Cloud services and adoption.
Sum up and disseminate all the lessons learned and recommendation to play an influential role in academia and industry