BigDataScience - Beijing, China, August 4-7, 2014

ContextDD 2014: The Second International Workshop on Context Discovery and Data Mining

The ContextDD 2014 workshop is for researchers and practitioners to present innovative ideas and results on all aspects of context computing from the data perspective which includes theoretical foundations, techniques and methods, tools and platforms, prototypes, evaluation, practical implementations and applications for discovering and making sense of context. The workshop aims to attract mobile computing, cyber-physical computing, ubiquitous computing, social computing and data mining researchers and practitioners with diverse backgrounds who have an interest in context.

SHPC 2014: International Workshop on Extreme Scale Data Cloud Computing Architectures

SHPC2014 solicits paradigm shifting architecture proposals, preliminary results, concepts and ideas towards the building of next generation extreme scale data cloud computing architectures that can handle compute intensive and data intensive applications. SHPC2014 provides a platform for academic architecture researchers, industry practitioners and government agencies to exchange evolving requirements, ideas and current results.

BDAMS-2014: International Workshop on Big Data Analytics, Management and Storage

Big data has shown great capability in yielding extremely useful information and extraordinary potential in revolutionizing scientific discoveries and traditional commercial models. Meanwhile, we are facing significant challenges as the volume, velocity, and variety of big data keep increasing. This workshop aims to bring researchers and industry pioneers together to share their vision, discuss the ideas and demonstrate use cases on innovative big data management, efficient big data analytics and low-cost big data storage solutions.

EEOSCP 2014: The 1st International Workshop on Engineering and Experiences with Open Source Cloud Platforms

There is a growing trend that research institutes and companies building private cloud using open source cloud platforms, such as Hadoop, OpenStack, CloudStack, and so on.

The workshop focuses on how to engineer and build cloud applications with open source platforms, and also experiences of how to customize these platforms, including

• Application development experiences of using open source cloud platforms, for example, video and image processing, smart city applications including smart transportation, smart building and other typical Internet of Things applications that use open source cloud platforms;
• Ways and approaches of improving the open source cloud platforms;
• Security, privacy, authentication with open source cloud platforms;
• Environments and tools for the development of cloud applications with open source cloud platforms
• Performance, test cases, comparisons of using open source cloud platforms for applications.

RWVW-2014: The Second Workshop on Predicting Real World Behaviors From Virtual World Data

Virtual worlds refer to shared persistent massive online spaces where hundreds of thousands and even millions of people can interact with one another. Examples of such spaces include massive multiplayer online games like World of Warcraft, Eve Online etc and structured environments like SecondLife. There is a growing body of literature that focuses on the similarities and differences between how people behave in the offline world vs. how they behave in these virtual environments. Data mining has aided in discovering interesting insights with respect to how people behave in these virtual environments.

Given that there is a vigorous debate at the heart of this domain with respect to the methodological limitations and the limitations of inferences across the boundaries of the real and the virtual that there is a need for a workshop that provides a common platform for discussion of challenging problems and potential solutions in this emergence field. The Workshop on Predicting Real World Behaviors from Virtual Worlds Data (VRVW) workshop will provide a critical and essential forum for integrating various research challenges in this domain and promote collaboration among researchers from academia and industry to enhance the state-of-art and help define a clear path for future research in this emerging area. This workshop is interested in research that seeks to bridge the divide between connecting online and offline behaviors. Topics of interest include prediction, mining and analysis of offline characteristics and behaviors from online data and vice versa. This workshop will facilitate collaboration among different disciplines including computer science, game studies and the social sciences.

The International Workshop on Social Networks and its Applications on Education (SoNaEDU)

The workshop on Social Networks and its Applications on Education invites papers for presentation at the 7th ASE International Conference on Social Computing. The workshop contributes to encourage interdisciplinary efforts that allow the social computing community to explore the education sector and its growing applications. The objective with this workshop is also to provide researchers and practitioners with the opportunity to share their visions, research achievements and solutions as well as to establish worldwide cooperative research and development. In addition, online social networks allow us to remove the physical classroom all together and with the growing use of mobile devices they also add a value in the shared experience they create. Therefore, in this workshop, we focus on how social media can open up a new space for learning and teaching in education?