-------- Original-Nachricht --------
| Betreff: | [AISWorld] Invitation to IEEE/ACM-sponsored Int Conf Data Science & Advanced Analytics (DSAA'2014) |
|---|---|
| Datum: | Mon, 9 Jun 2014 19:58:32 +1000 |
| Von: | BESC DSAA <dsaabesc@gmail.com> |
| An: | aisworld@lists.aisnet.org |
​
​Apologize for the duplicated circulation.
 ==== Proceedings will be published by IEEE and indexed by
EI, SCI-indexed journal special issue opportunities ====
==== DSAA'2014 is in cooperation with ACM SIGKDD and
technically co-sponsored by IEEE Computational Intelligence
Society. ====
2014 IEEE International Conference on Data Science and
Advanced Analytics (DSAA'2014)
30 October - 1 November, 2014, Shanghai, China
Important Dates
================
Paper Submission deadline: 5 July, 2014
Notification of acceptance: 10 August, 2014
Final Camera-ready papers due: 30 August, 2014
  Â
Submissions
============
Publications
=============
All accepted papers will be published by the IEEE press and
included in the IEEE Xplore Digital Library. The conference
proceedings will be submitted for EI indexing through INSPEC
by IEEE. Selected top quality papers after presented in the
conference will be invited for extension and publication in
the special issues of international journals, including IEEE
Intelligent Systems, WWWJ, and Neurocomputing. The accepted
workshop papers will be published through Springer CCIS
series, which will also be indexed by EI.
Introduction
=============
Data driven scientific discovery approach has already been
agreed to be an important emerging paradigm for computing in
areas including social, service, Internet of Things (or sensor
networks), and cloud. Under this paradigm, Big Data is the
core that drives new researches in many areas, from
environmental to social. There are many new scientific
challenges when facing this big data phenomenon, ranging from
capture, creation, storage, search, sharing, analysis, and
visualization. The complication here is not just the storage,
I/O, query, and performance, but also the integration across
heterogeneous, interdependent complex data resources for
real-time decision-making, collaboration, and ultimately value
co-creation. Data sciences encompass the larger areas of data
analytics, machine learning and managing big data. Data
analytics has become essential to glean some understanding
from large data sets and convert data into actionable
intelligence. With the rapid growth in the volumes of data
available to enterprises, Government and on the web, automated
techniques for analyzing the data have become essential.
The 2014 IEEE International Conference on Data Science and
Advanced Analytics (DSAA'2014) aims to provide a premier forum
that brings together researchers, industry practitioners, as
well as potential users of big data and advanced analytics, to
promote collaborations and exchange of ideas and practices,
discuss new opportunities, and investigate the best actionable
analytics framework for wide range of applications. The
conference solicits experimental and theoretical works on data
science and advanced analytics along with their application to
real life situations.
Topics of Interest
==================
General areas of interest to DSAA'2014 include but not
Limited to:
Foundations
* New mathematical, probabilistic and statistical models
and theories
* New learning theories, models and systems
* Deep analytics and learning
* Distributed and parallel computing (cloud, map-reduce,
etc.)
* Non-iidness (heterogeneity & coupling) learningÂ
* Invisible structure, relation and distribution learning
* Intent and insight learning
* Scalable analysis and learning
* Mining multi-source and mixed-source information
* Architecture, management and processÂ
* Data pre-processing, sampling and reduction
* Feature selection and feature transformation
* High performance/parallel/distributed computing
* Analytics architectures and infrastructure
* Heterogeneous data/information integration
* Crowdsourcing
* Human-machine interaction and interfaces
Retrieval, query and searchÂ
* Web/social web/distributed search
* Indexing and query processing
* Information and knowledge retrieval
* Personalized search and recommendation
* Query languages and user interfaces
Analytics, discovery and learningÂ
* Mixed-type dataÂ
* Mixed-structure data
* Big data modeling and analytics
* Multimedia/stream/text/visual analytics
* Coupling, link and graph mining
* Personalization analytics and learning
* Web/online/network mining and learning
* Structure/group/community/network mining
* Big data visualization analytics
* Large scale optimization
Privacy and securityÂ
* Security, trust and risk in big data
* Data integrity, matching and sharingÂ
* Privacy and protection standards and policies
* Privacy preserving big data access/analytics
* Social impact
Evaluation, applications and tools
* Data economy
* Domain-specific applications
* Quality assessment and interestingness metrics
* Complexity, efficiency and scalability
* Anomaly/fraud/exception/change/event/crisis analysis
* Large-scale recommender and search systemsÂ
* Big data representation and visualization
* Post-processing and post-mining
* Large Scale Application Case Studies
* Online/business/government data analysisÂ
* Mobile analytics for handheld devicesÂ
* Living analyticsÂ
Submission Guidelines
======================
Paper submissions should be limited to a maximum of seven
(7) pages, in the IEEE 2-column format (see the IEEE Press
Proceedings Author Guidelines: Â http://www.ieee.org/conferences_events/conferences/publishing/templates.html
). All submissions will be blind reviewed by the Program
Committee on the basis of technical quality, relevance to
conference topics of interest, originality, significance, and
clarity. Author names and affiliations must not appear in the
submissions, and bibliographic references must be adjusted to
preserve author anonymity. Accepted papers will be published
in the conference proceedings by the IEEE Press.
Advisory Committee
===================
* Usama Fayyad ChoozOn
Corporation, USA
* 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
===================
* 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
Organizing Committee
=====================
General Chairs
* Philip S Yu University
of Illinois at Chicago, USA
* Masaru Kitsuregawa
University of Tokyo
Conference Chairs
* Hiroshi Motoda Osaka
University and AFOSR/AOARD, Japan
* Bart Goethals University
of Antwerp, Belgium
* Minyi Guo Shanghai
Jiaotong University, China
Program Committee Chairs
* Longbing Cao University
of Technology, Sydney, Australia
* George Karypis University
of Minnesota, USA
* Irwin King Chinese
University of Hong Kong
* Wei Wang Fudan
University, China
Local Arrangement Chairs
* Hongming Cai Shanghai
Jiaotong University, China
* Wei Liu University
of Technology, Sydney
Workshop ChairsÂ
* Gang Li Deakin
University, AustraliaÂ
* Eric Gaussier Universit?Joseph
Fourier, France
Tutorial ChairsÂ
* Junbin Gao Charles
Stuart University, Australia
* Sourav S Bhowmick
Nanyang Technological University, Singapore
Panel ChairsÂ
* Gabriella Pasi Universit?di
Milano Bicocca, Italy
* Em-Ping Lim Singapore
Management University, Singapore
Sponsorship Chairs
* Guangtao Xue Shanghai
Jiaotong University, China
Publicity Chairs
* Xiaohui Tao University
of Southern Queensland, Australia
* Xin Wang University
of Calgary, Canada
* Xiaodong Yue Shanghai
University
Registration/Finance Chairs
* Qi Gu Shanghai
Jiaotong University, China
Publication ChairÂ
* Frank Jiang University
of Technology, Sydney, Australia
Technical Sponsors
===================
* ACM SIGKDDÂ
* IEEE Computational Intelligence Society Â
* Springer
* IEEE Task Force on Data Sciences and Advanced Analytics
* IEEE NSW Section
* ACM SIGKDD Australia and New Zealand Chapter
Conference organizers
======================
* University of Technology Sydney, Australia
* Shanghai Jiaotong University, China
* Stanford University, USA
* University of Joseph Fourier, France