-------- 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

â?? Â dsaa14-6.pdf https://docs.google.com/file/d/0B7JUz1_zqKs4ZllrR1FWWVU3ODQ/edit?usp=drive_web â??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 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 Â Â Â 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 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) 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 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 KitsuregawaUniversity of Tokyo, Japan * Rao KotagiriUniversity of Melbourne, Australia * Vipin KumarUniversity of Minnesota, USA * Bengchin OoiNational University of Singapore * Xin YaoUniversity of Birmingham, UK * Philip S YuUniversity of Illinois at Chicago, USA

Steering Committee ===================

* Longbing Cao University of Technology, Sydney, Australia * Ming-Syan ChenAcademia Sinica, Taiwan * Diane J. CookWashington State University * Bart GoethalsUniversity of Antwerp, Belgium * Herve MartinLaboratoire d'Informatique de Grenoble, France * Hiroshi MotodaOsaka University and AFOSR/AOARD, Japan * Jian PeiSimon Fraser University, Canada * Vincent TsengNational Cheng kung University, Taiwan * Geoff WebbMonash University, Australia * Limsoon WongNational University of Singapore * Osmar Zaiane University of Alberta, Canada

Organizing Committee =====================

General Chairs * Philip S YuUniversity of Illinois at Chicago, USA * Masaru KitsuregawaUniversity of Tokyo

Conference Chairs * Hiroshi Motoda Osaka University and AFOSR/AOARD, Japan * Bart GoethalsUniversity of Antwerp, Belgium * Minyi GuoShanghai Jiaotong University, China

Program Committee Chairs * Longbing CaoUniversity of Technology, Sydney, Australia * George Karypis University of Minnesota, USA * Irwin KingChinese University of Hong Kong * Wei WangFudan University, China

Local Arrangement Chairs * Hongming CaiShanghai Jiaotong University, China * Wei LiuUniversity of Technology, Sydney

Workshop Chairs * Gang LiDeakin University, Australia * Eric GaussierUniversit?Joseph Fourier, France

Tutorial Chairs * Junbin GaoCharles Stuart University, Australia * Sourav S BhowmickNanyang Technological University, Singapore

Panel Chairs * Gabriella PasiUniversit?di Milano Bicocca, Italy * Em-Ping LimSingapore Management University, Singapore

Sponsorship Chairs * Guangtao XueShanghai Jiaotong University, China

Publicity Chairs * Xiaohui TaoUniversity of Southern Queensland, Australia * Xin WangUniversity of Calgary, Canada * Xiaodong YueShanghai University

Registration/Finance Chairs * Qi GuShanghai Jiaotong University, China

Publication Chair * Frank JiangUniversity 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 * 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