The 9th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE-15)
http://comnet.aalto.fi/
http://comnet.aalto.fi/
20-22 August 2015, Helsinki, Finland
Latest news:
6 Keynotes, 4 special issues and 4 workshops announced
6 Keynotes, 4 special issues and 4 workshops announced
Important Dates
Submission Deadline: March 31, 2015 -> extended to April 20, 2015 (firm)
Authors Notification: May 31, 2015
Final Manuscript Due: July 1, 2015
Submission Deadline: March 31, 2015 -> extended to April 20, 2015 (firm)
Authors Notification: May 31, 2015
Final Manuscript Due: July 1, 2015
Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Various technologies are being discussed to support the handling of big data such as massively parallel processing databases, scalable storage systems, cloud computing platforms, and MapReduce.
Big data is more than simply a matter of size; it is an opportunity to find insights in new and emerging types of data and content, to make business more agile, and to answer questions that were previously considered beyond our reach. Distributed systems is a classical research discipline investigating various distributed computing technologies and applications such as cloud computing and MapReduce. With new paradigms and technologies, distributed systems research keeps going with new innovative outcomes from both industry and academia. For example, wide deployment of MapReduce is a distributed programming paradigm and an associated implementation to support distributed computing over large datasets on cloud. BigDataSE is created to provide a prime international forum for researchers, industry practitioners and environment experts to exchange the latest fundamental advances in the state of the art and practice of Big Data and broadly related areas.
BigDataSE 2015 is the next event in a series of highly successful International Conferences, previously held as BigDataSE2014 (Beijing, China, September 2014), BigDataSE2013 (Sydney, Australia, December 2013), BigDataMR-12 (Xiangtan, China, November 2012), AHPCN-12 (Bradford, UK, June 2012), AHPCN-11 (Banff, Canada, September 2011), AHPCN-10 (Melbourne, Australia, September 2010), AHPCN-09 (Seoul, Korea, June 2009), AHPCN-08 (Dalian, China, September 2008).
Topics of interest include, but not limited to
- Big Data novel theory, algorithm and applications
- Big Data standards
- Big Data mining and analytics
- Big Data Infrastructure, MapReduce and Cloud Computing
- Big Data visualization
- Big Data curation and management
- Big Data semantics, scientific discovery and intelligence
- Big Data performance analysis and large-scale deployment
- Security, privacy, trust, and legal issues to big data
- Big Data vs Big Business and Big Industry
- Large data stream processing on cloud
- Large incremental datasets on cloud
- Distributed and federated datasets
- NoSQL data stores and DB scalability
- Big Data placement, scheduling, and optimization
- Distributed file systems for Big Data
- MapReduce for Big Data processing, resource scheduling and SLA
- Performance characterization, evaluation and optimization
- Simulation and debugging systems and tools for MapReduce and Big Data
- Volume, Velocity, Variety, Value and Veracity of Big Data
- Multiple source data processing and integration with MapReduce
- Storage and computation management of Big Data
- Large-scale big data workflow management
- Mobility and big data
- Sensor network, social network and big data
- Big data applications
- Big Data standards
- Big Data mining and analytics
- Big Data Infrastructure, MapReduce and Cloud Computing
- Big Data visualization
- Big Data curation and management
- Big Data semantics, scientific discovery and intelligence
- Big Data performance analysis and large-scale deployment
- Security, privacy, trust, and legal issues to big data
- Big Data vs Big Business and Big Industry
- Large data stream processing on cloud
- Large incremental datasets on cloud
- Distributed and federated datasets
- NoSQL data stores and DB scalability
- Big Data placement, scheduling, and optimization
- Distributed file systems for Big Data
- MapReduce for Big Data processing, resource scheduling and SLA
- Performance characterization, evaluation and optimization
- Simulation and debugging systems and tools for MapReduce and Big Data
- Volume, Velocity, Variety, Value and Veracity of Big Data
- Multiple source data processing and integration with MapReduce
- Storage and computation management of Big Data
- Large-scale big data workflow management
- Mobility and big data
- Sensor network, social network and big data
- Big data applications
Submission Guidelines
Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Papers must be clearly presented in English, must not exceed 8 pages, including tables, figures, references and appendixes, in IEEE Computer Society proceedings format with Portable Document Format (.pdf). Please submit your paper https://research.comnet.aalto.
Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. Accepted and presented papers will be included in the IEEE CPS Proceedings. Distinguished papers presented at the conference, after further revision, will be recommended to high quality international journals.
Keynotes (in alphabetical order)
Prof. Robert H. Deng, Singapore Management University, Singapore
Mr. Mikko Hyppönen, Chief Research Officer, F-Secure, Finland
Mr. Lauri Oksanen, VP Research and Technology, Nokia Networks
Prof. Yi Pan, Georgia State University, USA
Prof. Witold Pedrycz, IEEE fellow, EiC of Information Sciences Canada Research Chair
Prof. Vincenzo Piuri, IEEE fellow, IEEE Vice President on Technical Activities, EiC of IEEE Systems Journal
Special Issues
a) IEEE Transactions on Big Data
a) IEEE Transactions on Big Data
b) International Journal of Communication Systems (2014 IF=1.106)
Special Issue on Heterogeneous Sensors Based Object Identification and Information Fusion
Special Issue on Heterogeneous Sensors Based Object Identification and Information Fusion
c) Information Fusion (pending)
d) Extended versions of selected papers will be considered for publication in IEEE Internet of Things Journal
Workshops and Symposia
- DTWSM 2015 (https://research.comnet.
The 2nd IEEE International Workshop on Data, Text, Web, and Social Network Mining
- DTWSM 2015 (https://research.comnet.
The 2nd IEEE International Workshop on Data, Text, Web, and Social Network Mining
- RTStreams 2015 (https://research.comnet.
The 1st IEEE International Workshop on Real Time Data Stream Analytics
The 1st IEEE International Workshop on Real Time Data Stream Analytics
- CPBD 2015 (https://research.comnet.
The 1st IEEE International Workshop on Classification Problems Embedded in the Nature of Big Data
The 1st IEEE International Workshop on Classification Problems Embedded in the Nature of Big Data
- PhoneCom 2015 (https://research.comnet.
The 4th IEEE International Workshop on Sensing, Networking, and Computing with Smartphones
The 4th IEEE International Workshop on Sensing, Networking, and Computing with Smartphones
Organisation Committee
General Chairs:
Francisco Herrera, University of Granada, Spain
Zheng Yan, Xidian University, China
Moncef Gabbouj, Tampere University of Technology, Finland
Francisco Herrera, University of Granada, Spain
Zheng Yan, Xidian University, China
Moncef Gabbouj, Tampere University of Technology, Finland
Program Chair:
Nitesh Chawla, University of Notre Dame, USA
Barbara Hammer, Bielefeld University, Germany
Nitesh Chawla, University of Notre Dame, USA
Barbara Hammer, Bielefeld University, Germany
Steering Co-Chairs:
Jinjun Chen, University of Technology Sydney, Australia (Chair)
Laurence T. Yang, St. Francis Xavier University, Canada (Chair)
Jinjun Chen, University of Technology Sydney, Australia (Chair)
Laurence T. Yang, St. Francis Xavier University, Canada (Chair)
Publicity Chairs:
Tianrui Li, Southwest Jiaotong University, China
Junze Wang, HUST, China
Tianrui Li, Southwest Jiaotong University, China
Junze Wang, HUST, China
Workshop Chairs:
Alvin Chin, Microsoft, China
Maria José del Jesus, University of Jaén, Spain
Jun Liu, Xi’an Jiaotong University, China
Alvin Chin, Microsoft, China
Maria José del Jesus, University of Jaén, Spain
Jun Liu, Xi’an Jiaotong University, China
Local Organizing and Finance Chair:
Raimo Kantola, Aalto University, Finland
Raimo Kantola, Aalto University, Finland
Web Chair:
Jesús Llorente Santos, Aalto University, Finland
Jesús Llorente Santos, Aalto University, Finland
Steering Committee:
Please see http://comnet.aalto.fi/
Please see http://comnet.aalto.fi/
Technical Program Committee
https://research.comnet.aalto.
https://research.comnet.aalto.
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