The Third International Workshop on Data Analytics and Emerging Services (DAES) with the International Conference on Engineering and Technology 2017

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活动简介

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.

征稿信息

重要日期

2017-07-22

初稿截稿日期

2017-07-30

初稿录用日期

征稿范围

Topics of interest include, but are not limited to:

Data as a Service
Databases: Systems, applications and recent development
Data Analytics
NoSQL databases
Visualization
Algorithms, Methods and scientific processes
Modern Architectures
Big Data software and proof-of-concepts
Spark, Hapdoop, Apache Pig and any new Big Data tools
Financial services, financial modeling and business processes
Banking, econometrics and economic research
Risk management and analysis
Health informatics and IoT
IoT services and technologies
IoT applications
Smart cities
Security, privacy and Trust
Cloud Computing services
Education as a Service
Gaming as a Service (GaaS)
Framework (conceptual, logical or software)
Integration and fusion
Weather analysis and computation
Real time Cloud, IoT and big data services
Fog and edge computing
e-Government, e-Commerce, e-Science and creative technologies for Cloud and IoT
Management information systems
Social network analysis
Scheduling, service duplication, fairness, load balance for SaaS and Analytics
IoT, Big Data and Analytics discussion from scientists, business/IS academics and industrial consultants
Modern data center and system architecture to improve performance, security and integration
Real-life examples and case studies
Any emerging DAES services