Invitation to IEEE DSAA'2015 on Data Science and Advanced Analytics
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IEEE 2015 International Conference on Data Science and Advanced Analytics
(IEEE DSAA'2015)
19-21 October, 2015, Paris, France
Website: http://dsaa2015.lip6.fr/
Submission Website
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Please log in https://easychair.org/conferences/?conf=ieeedsaa2015 to submit your papers to the main track and/or special sessions by selecting the relevant tracks after you logging in the easychair submission system.
The DSAA'2015 main track consists of Research Track and Applications Track.
DSAA'2015 consists of the following special sessions (to be updated):
- Special Session on Trends & Controversies in Data Science (TCDS, by invitation only)
- Special Session on Bioinformatics, Health and Medical Analytics (BHMA)
- Special Session on Environmental and Geo-spatial Data Analytics (EnGeoData)
- Special Session on Exploratory Computing (EC)
- Special session on Statistical and Mathematical Tools for Data Science (SMTDS)
Important Dates
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Paper Submission deadline: 18 May, 2015
Notification of acceptance: 6 July, 2015
Final Camera-ready papers due: 28 August, 2015
Publications
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All accepted papers will be published by IEEE and included in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE. Top quality papers accepted and presented at the conference will be selected for extension and publication in the special issues of some international journals, including International Journal of Data Science and Analytics and IEEE Intelligent Systems.
Introduction
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Data driven scientific discovery is an important emerging paradigm for computing in areas including social, service, Internet of Things, sensor networks, telecommunications, biology, health-care and cloud. Under this paradigm, Data Science is the core that drives new researches in many areas, from environmental to social. There are many associated scientific challenges, ranging from data capture, creation, storage, search, sharing, modeling, analysis, and visualization. Among the complex aspects to be addressed we mention here the integration across heterogeneous, interdependent complex data resources for real-time decision making, streaming data, collaboration, and ultimately value co-creation. Data science encompasses the areas of data analytics, machine learning, statistics, optimization and managing big data, and has become essential to glean understanding from large data sets and convert data into actionable intelligence, be it data available to enterprises, Government or on the Web.
Co-sponsored by IEEE and ACM, DSAA'2014 was a fabulous event held in 2014 in Shanghai, receiving the acceptance rate at 10.4% for regular presentations, and over 200 participants from 41 countries. It consisted of 11 main conference sessions, 7 special sessions, 5 keynote speeches, 4 trends and controversies invited talks, a panel, plus 2 tutorials for you to enjoy a very busy 3-day data science gathering. We are pleased to let you know that the DSAA'2014 proceeding has been included into IEEE Xplore, and you can find them in http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7050498.
IEEE DSAA'2015 is an IEEE fully sponsored conference. DSAA'2015 aims to be a flagship data science and analytics conference in its kdn, and provide a premier forum that brings together researchers, industry practitioners, as well as potential users of big data, for discussion and exchange of ideas on the latest theoretical developments in Data Science as well as on the best practices for a wide range of applications.
DSAA is also technically sponsored by ACM through SIGKDD. DSAA is the only IEEE/ACM jointly sponsored conference truly in data science, big data and advanced analytics.
DSAA'2015 will consist of two main Tracks: Research and Application. The Research Track is aimed at collecting contributions related to theoretical foundations of Data Science and Data Analytics. The Application Track is aimed at collecting contributions related to applications of Data Science and Data Analytics in real life scenarios. DSAA solicits then both theoretical and practical works on data science and advanced analytics.
Topics of Interest
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General areas of interest to DSAA'2015 include but are not limited to:
1. Foundations
- New mathematical, probabilistic and statistical models and theories
- New machine learning theories, models and systems
- New data mining and knowledge discovery theories, models and systems
- Manifold and metric learning, deep learning
- Scalable analysis and learning
- Non-iidness learning
- Heterogeneous data/information integration
- Data pre-processing, sampling and reduction
- High dimensional data, feature selection and feature transformation
- Large scale optimization
- High performance computing for data analytics
- Architecture, management and process for data science
2. Data analytics and mining, machine learning and knowledge discovery
- Learning for streaming data
- Learning for structured and relational data
- Intent and insight learning
- Mining multi-source and mixed-source information
- Mixed-type and structure data analytics
- Cross-media data analytics
- Big data visualization, modeling and analytics
- Multimedia/stream/text/visual analytics
- Relation, coupling, link and graph mining
- Personalization analytics and learning
- Web/online/social/network mining and learning
- Structure/group/community/network mining
- Cloud computing and service data analysis
3. Storage, retrieval and search
- Data warehouses, cloud architectures
- Large-scale databases
- Information and knowledge retrieval
- Web/social/databases query and search
- Personalized search and recommendation
- Human-machine interaction and interfaces
- Crowdsourcing and collective intelligence
4. Privacy and security
- Security, trust and risk in big data
- Data integrity, matching and sharing
- Privacy and protection standards and policies
- Privacy preserving big data access/analytics
- Social impact
5. Applications, practices, tools and evaluation
- Best practices and lessons
- Data-intensive organizations, business and economy
- Domain-specific applications and services
- Business/industry/government analytics
- Online/social/living/environment data analysis
- Behavior analytics/computing
- Economic computing/financial analytics
- Mobile analytics for hand-held devices
- Quality assessment and interestingness metrics
- Complexity, efficiency and scalability
- Anomaly/fraud/exception/change/event/crisis analysis
- Large-scale recommender and search systems
- Big data representation and visualization
- Large scale application case studies
Organizing Committee
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Honorary Chair
- Usama Fayyad Barclays Bank, UK
General Chairs
- Eric Gaussier University Joseph Fourier, France
- Longbing Cao University of Technology Sydney, Australia
Conference Chairs
- Olivier Cappé Telecom Paristech, CNRS, France
- Wei Wang University of California at Los Angeles, USA
Research Track Chairs
- Patrick Gallinari University Pierre & Marie Curie, France
- James Kwok Hong Kong University of Science and Technology, China
Application Track Chairs
- Gabriella Pasi Universita degli Studi di Milano Biccoca, Italy
- Osmar Zaiane University of Alberta, Canada
Advisory Committee
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- Usama Fayyad Barclays Bank, UK
- Masaru Kitsuregawa University of Tokyo, Japan
- Rao Kotagiri University of Melbourne, Australia
- Vipin Kumar University of Minnesota, USA
- Bengchin Ooi National University of Singapore
- Xin Yao University of Birmingham, UK
- Philip S Yu University of Illinois at Chicago, USA
Steering Committee
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- Longbing Cao University of Technology, Sydney, Australia
- Ming-Syan Chen Academia Sinica, Taiwan
- Diane J. Cook Washington State University
- Bart Goethals University of Antwerp, Belgium
- Herve Martin Laboratoire d'Informatique de Grenoble, France
- Hiroshi Motoda Osaka University and AFOSR/AOARD, Japan
- Jian Pei Simon Fraser University, Canada
- Vincent Tseng National Cheng kung University, Taiwan
- Geoff Webb Monash University, Australia
- Limsoon Wong National University of Singapore
- Osmar Zaiane University of Alberta, Canada
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