[AISWorld] CFP: 2014 IEEE Conference on Data Science & Applied Analytics (DSAA’2014)

[DSAA-BESC DSAA-BESC]

***  Apologize for the duplicated circulation  ***

==== Proceedings will be published by IEEE and indexed by EI, Journal
special issue opportunities ====

2014 IEEE International Conference on Data Science and Advanced Analytics
(DSAA'2014)
30 October - 1 November, 2014, Shanghai, China
Website: http://datamining.it.uts.edu.au/conferences/dsaa14/

Important Dates
================

Paper Submission deadline: 5 July, 2014
Notification of acceptance: 10 August, 2014
Final Camera-ready papers due: 30 August, 2014

Submissions
============

https://www.easychair.org/conferences/?conf=dsaa14
 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 timely 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) learning
* Invisible structure, relation and distribution learning
* Intent and insight learning
* Scalable analysis and learning
* Mining multi-source and mixed-source information
* Architecture, management and process
* 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 search
* 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 learning
* Mixed-type data
* 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 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

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 systems
* Big data representation and visualization
* Post-processing and post-mining
* Large Scale Application Case Studies
* Online/business/government data analysis
* Mobile analytics for handheld devices
* Living analytics

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:
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
* Kyu-Young Whang Korea Advanced Institute of Science and Technology, Korea
* 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 Chairs
* Gang Li Deakin University, Australia
* Eric Gaussier Universit?Joseph Fourier, France

Tutorial Chairs
* Junbin Gao Charles Stuart University, Australia
* Sourav S Bhowmick Nanyang Technological University, Singapore

Panel Chairs
* 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 Chair
* Frank Jiang University of Technology, Sydney, Australia

Technical Sponsors
===================

* ACM SIGKDD
* IEEE Computational Intelligence Society
* Springer
* IEEE Task Force on Data Sciences and Advanced Analytics
* IEEE NSW Section

Conference organizers
======================

* University of Technology Sydney, Australia
* Shanghai Jiaotong University, China
* Stanford University, USA
* University of Joseph Fourier, France
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