Big Data computing and service is becoming a very sought after research and application subject in academic research, industry, and government services. Today, with the fast advance of big data science, analytics and technology, big data researchers and application professionals are able to access to diverse data mining and machine learning algorithms, open-source platforms and tools, and cloud DB technology and big data access technologies.

According to IDC's prediction in 2014, the market for big data will reach $43.3 billion in 2017, growing 6 times faster than the overall IT market. This kind of business analysis report brings great business opportunities and strong research interests among both academic and industrial communities. Recently, a number of IEEE international conferences are organized focusing on Big Data Computing, Big Data Sciences and Analytics, and Big Data Technology and Engineering. Since emergent big data computing and services can be used in many disciplines and diverse applications, including business management, library science, energy and environment, education, biomedical, healthcare and life science, social media and networking, smart city and travel, and transportation, etc..

Establishing and conducting successful big data projects in different domain applications require the following essential and critical entities:

-Various big data banks and resources with quality data collection, validation, evaluation and certification methods and standards.

-Scalable and efficient big data computing services.

-Well-defined domain-specific big data knowledge engineering and analytic intelligence.

-Well-developed big data infrastructures supported with high-quality big data DB technologies and tools.

Unlike the other venues, this international conference is established to address the above needs for big data computing service and domain-specific researchers, government agencies, and practitioners. The major objective is to provide a big platform for them to exchange innovative ideas and research results, share application experiences and lessons. The major interests include big-data applications in various domains such as healthcare, business and financing, education and learning, social networks and media, smart environment, sensors and Internet of things as well as technology aspects such as computing services and architecture, modeling, data mining and analytics, and databases.