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

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 - 7, 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: contextdd2014-AT-googlegroups.com