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Mon, 12 May 2014 09:04:04 +0000
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Dear colleagues,

Please consider to submit a workshop paper to the following workshop:

ContextDD 2014: Second International Workshop on Context Discovery and Data Mining
Context Data Mining and Discovery from Big Data on the Web

http://www.contextdd.org
In conjunction with ASE BigDataScience 2014
Beijing, China, 4 - 7 August, 2014


The ContextDD 2014 workshop is an international forum for researchers and practitioners to present innovative ideas and results on all aspects of context computing,  in particular coming 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 and bring together mobile computing, cyber-physical computing, ubiquitous computing, social computing and data mining researchers and practitioners with diverse backgrounds who have an interest in context.

The paper deadline is May 15, 2014.

Please also forward to your colleagues and others who may be interested in this workshop.

Many thanks.

Alvin

--
Alvin Chin
Workshop Co-Chair, ContextDD 2014
http://contextdd.org
Senior Researcher, Xpress Internet Services, Mobile Phones, a subsidiary of Microsoft Mobile Oy, Microsoft
Beijing, China
http://www.alvinychin.com<http://www.alvinychin.com/>

Just published! Mobile Social Networking: An Innovative Approach by Alvin Chin and Daqing Zhang (editors)
Available from Springer http://www.springer.com/physics/complexity/book/978-1-4614-8578-0 and Amazon http://bit.ly/msnbook




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ContextDD 2014: Second International Workshop on Context Discovery and Data Mining Context Data Mining and Discovery from Big Data on the Web http://www.contextdd.org In conjunction with ASE BigDataScience 2014 Beijing, China, 4 - 7 August, 2014 With the emergence of mobile computing and social networking, there is a huge amount of data that can be collected from sensors and studied to infer context. This workshop is the second in a series which started at KDD 2012 where we discussed about rich context mobile computing. In this workshop, our focus is on mining context from big data on the World Wide Web, such as social network data, browser log data and search log data. It includes all the context data collected from web browsing, such as sensor info when making mobile browsing, social context from online service, web content as context, user intention context like search query, and user preference and behavior for web browsing, etc. In this way, we can help to create a faster, personalized and smarter internet for people not just with smartphones but also inexpensive mobile phones. The workshop offers an opportunity to discuss and focus on the research issues and challenges within mining context from big data on the web from both an academic and industrial research perspective. The ContextDD 2014 workshop is an international forum for researchers and practitioners to present innovative ideas and results on all aspects of context computing, in particular coming 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 and bring together mobile computing, cyber-physical computing, ubiquitous computing, social computing and data mining researchers and practitioners with diverse backgrounds who have an interest in context. Our objectives in the workshop are the following: - Identify the various aspects of web context collection, identification, inference, management, prediction and recommendation; - Review the state of the art of these algorithms and novel applications; - Gather researchers and practitioners in sharing their experiences on context computing - Identify further research challenges and topics needed to be addressed on national and international level; - How to bridge the gap between context research in academia and industry, and transition the research from lab to consumer applications (ie. how industry can   provide the big data and the data infrastructure, whereas academia provides the algorithms and the research) - Recommend strategies where short-term commercial and consumer values may reasonably be expected; - Create a research framework, agenda and social network for web context for further collaboration after the workshop The workshop will be a half day workshop. Besides research paper presentations, the workshop will feature an Invited Talk (keynote) and a Panel Discussion session. The workshop will be held in Beijing, China in August 2014, in conjunction with the 3rd ASE International Conference on Big Data Science and Computing (BigDataScience 2014) (http://bigdata2014beijing.scienceengineering.org/). Topics of interest include, but are not limited to: - Web context data collection - Web context sensing and web context recognition - Web context aggregation and web context segmentation - Web context management and inference - Web context fusion - Web context awareness methods - Web context frameworks - Web context datasets and algorithms for mining user behavior and other intelligence - Web context recommendation - Context-aware personalized smart applications and services, location based services, etc. IMPORTANT DATES: Paper Submission Deadline: May 15, 2014 Author Notification: June 1, 2014 Final Manuscript: June 15, 2014 Workshop Proceedings due: July 7, 2014 Workshop date: August 4, 2014 SUBMISSION INSTRUCTIONS: Authors are invited to submit original papers that must not have been submitted to or published in any other workshop, conference, or journal. The workshop will accept full papers describing completed work, work-in-progress papers with preliminary results, as well as short position papers reporting inspiring and intriguing new ideas. Submissions must be in PDF format and not exceed 6 pages in length. For detailed submission instructions, please visit the workshop website: http://contextkdd.org All papers will be peer-reviewed by members of the Program Committee and be evaluated for originality, significance of the contribution, technical correctness and presentation. At least one author of each accepted papers must present their work at the workshop. Accepted papers will be included in ASE BigDataScience 2014 Workshops proceedings published by ACM and included in the ACM Digital Library. Extended versions of selected best papers will be considered for publication in special issues of SCI-index international journals. Workshop Chairs: Alvin Chin, Nokia, China Jilei Tian, Nokia, China Enhong Chen, University of Science and Technology of China, China Guanling Chen, University of Massachusetts Lowell, USA Harold Liu, Beijing Institute of Technology, China Program Committee: Yu Zheng, Microsoft Research Asia, China Zhiwen Yu, Northwestern Polytechnic University, China Zheng Yan, Xidian University China and Aalto University, Finland Antti Eronen, Nokia Research Center, Tampere, Finland Yiqiang Chen, Chinese Academy of Science, China Li Chen, Hong Kong Baptist University, Hong Kong, China Vincent Zheng, Advanced Digital Sciences Center, Singapore Jingu Kim, Nokia, USA Linli Xu, University of Science and Technology of China, China Daeyoung Kim, KAIST, Korea Qi Liu, University of Science and Technology of China, China Yoshiharu Ishikawa, Nagoya University, Japan Yan Zhang, Simula Research Lab, Norway Fan Li, Beijing Institute of Technology, China Min Chen, Huazhong University of Science and Technology, China Zhengguo Sheng, UBC, Canada Jian Tang, Syrocuse University, USA Xue Liu, McGill University, Canada Athanasios Gkelias, Imperial College, UK Nicholas Yuan, Microsoft Research Asia, China Contact Info: Email: [log in to unmask]     ---------------------------------------------------------------     For news of CHI books, courses & software, join CHI-RESOURCES      mailto: [log in to unmask]     To unsubscribe from CHI-ANNOUNCEMENTS send an email to      mailto:[log in to unmask]     For further details of CHI lists see http://listserv.acm.org     ---------------------------------------------------------------

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