<div dir="ltr"><div>Apologize for the duplicated circulation.</div><div><br></div><div>==== Proceedings will be published by IEEE and indexed by EI, SCI-indexed journal special issue opportunities ====</div><div>==== DSAA'2014 is in cooperation with ACM SIGKDD and technically co-sponsored by IEEE Computational Intelligence Society. ====</div>
<div><br></div><div>2014 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2014)</div><div>30 October - 1 November, 2014, Shanghai, China</div><div>Website: <a href="http://datamining.it.uts.edu.au/conferences/dsaa14/">http://datamining.it.uts.edu.au/conferences/dsaa14/</a></div>
<div><br></div><div>Important Dates</div><div>================</div><div><br></div><div>Paper Submission deadline: <span class="" style="white-space:pre"> </span>5 July, 2014</div><div>Notification of acceptance: <span class="" style="white-space:pre"> </span>10 August, 2014</div>
<div>Final Camera-ready papers due: <span class="" style="white-space:pre"> </span>30 August, 2014</div><div> </div><div>Submissions</div><div>============</div><div><br></div><div><a href="https://www.easychair.org/conferences/?conf=dsaa14">https://www.easychair.org/conferences/?conf=dsaa14</a></div>
<div><span class="" style="white-space:pre"> </span></div><div>Publications</div><div>=============</div><div><br></div><div>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.</div>
<div><br></div><div>Introduction</div><div>=============</div><div><br></div><div>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.</div>
<div><br></div><div>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.</div>
<div><br></div><div><br></div><div>Topics of Interest</div><div>==================</div><div><br></div><div>General areas of interest to DSAA'2014 include but not Limited to:</div><div><br></div><div>Foundations</div>
<div>* New mathematical, probabilistic and statistical models and theories</div><div>* New learning theories, models and systems</div><div>* Deep analytics and learning</div><div>* Distributed and parallel computing (cloud, map-reduce, etc.)</div>
<div>* Non-iidness (heterogeneity & coupling) learning </div><div>* Invisible structure, relation and distribution learning</div><div>* Intent and insight learning</div><div>* Scalable analysis and learning</div><div>
* Mining multi-source and mixed-source information</div><div>* Architecture, management and process </div><div>* Data pre-processing, sampling and reduction</div><div>* Feature selection and feature transformation</div><div>
* High performance/parallel/distributed computing</div><div>* Analytics architectures and infrastructure</div><div>* Heterogeneous data/information integration</div><div>* Crowdsourcing</div><div>* Human-machine interaction and interfaces</div>
<div><br></div><div>Retrieval, query and search </div><div>* Web/social web/distributed search</div><div>* Indexing and query processing</div><div>* Information and knowledge retrieval</div><div>* Personalized search and recommendation</div>
<div>* Query languages and user interfaces</div><div><br></div><div>Analytics, discovery and learning </div><div>* Mixed-type data </div><div>* Mixed-structure data</div><div>* Big data modeling and analytics</div><div>* Multimedia/stream/text/visual analytics</div>
<div>* Coupling, link and graph mining</div><div>* Personalization analytics and learning</div><div>* Web/online/network mining and learning</div><div>* Structure/group/community/network mining</div><div>* Big data visualization analytics</div>
<div>* Large scale optimization</div><div><br></div><div>Privacy and security </div><div>* Security, trust and risk in big data</div><div>* Data integrity, matching and sharing </div><div>* Privacy and protection standards and policies</div>
<div>* Privacy preserving big data access/analytics</div><div>* Social impact</div><div><br></div><div>Evaluation, applications and tools</div><div>* Data economy</div><div>* Domain-specific applications</div><div>* Quality assessment and interestingness metrics</div>
<div>* Complexity, efficiency and scalability</div><div>* Anomaly/fraud/exception/change/event/crisis analysis</div><div>* Large-scale recommender and search systems </div><div>* Big data representation and visualization</div>
<div>* Post-processing and post-mining</div><div>* Large Scale Application Case Studies</div><div>* Online/business/government data analysis </div><div>* Mobile analytics for handheld devices </div><div>* Living analytics </div>
<div><br></div><div>Submission Guidelines</div><div>======================</div><div><br></div><div>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: <a href="http://www.ieee.org/conferences_events/conferences/publishing/templates.html">http://www.ieee.org/conferences_events/conferences/publishing/templates.html</a> ). 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.</div>
<div><br></div><div>Advisory Committee</div><div>===================</div><div><br></div><div>* Usama Fayyad <span class="" style="white-space:pre"> </span>ChoozOn Corporation, USA</div><div>* Masaru Kitsuregawa<span class="" style="white-space:pre"> </span>University of Tokyo, Japan</div>
<div>* Rao Kotagiri<span class="" style="white-space:pre"> </span>University of Melbourne, Australia</div><div>* Vipin Kumar<span class="" style="white-space:pre"> </span>University of Minnesota, USA</div><div>* Bengchin Ooi<span class="" style="white-space:pre"> </span>National University of Singapore</div>
<div>* Xin Yao<span class="" style="white-space:pre"> </span>University of Birmingham, UK</div><div>* Philip S Yu<span class="" style="white-space:pre"> </span>University of Illinois at Chicago, USA</div><div><br></div>
<div>Steering Committee</div><div>===================</div><div><br></div><div>* Longbing Cao <span class="" style="white-space:pre"> </span>University of Technology, Sydney, Australia</div><div>* Ming-Syan Chen<span class="" style="white-space:pre"> </span>Academia Sinica, Taiwan</div>
<div>* Diane J. Cook<span class="" style="white-space:pre"> </span>Washington State University</div><div>* Bart Goethals<span class="" style="white-space:pre"> </span>University of Antwerp, Belgium</div><div>* Herve Martin<span class="" style="white-space:pre"> </span>Laboratoire d'Informatique de Grenoble, France</div>
<div>* Hiroshi Motoda<span class="" style="white-space:pre"> </span>Osaka University and AFOSR/AOARD, Japan</div><div>* Jian Pei<span class="" style="white-space:pre"> </span>Simon Fraser University, Canada</div><div>* Vincent Tseng<span class="" style="white-space:pre"> </span>National Cheng kung University, Taiwan</div>
<div>* Geoff Webb<span class="" style="white-space:pre"> </span>Monash University, Australia</div><div>* Limsoon Wong<span class="" style="white-space:pre"> </span>National University of Singapore</div><div>* Osmar Zaiane <span class="" style="white-space:pre"> </span>University of Alberta, Canada</div>
<div><br></div><div><br></div><div>Organizing Committee</div><div>=====================</div><div><br></div><div>General Chairs</div><div>* Philip S Yu<span class="" style="white-space:pre"> </span>University of Illinois at Chicago, USA</div>
<div>* Masaru Kitsuregawa<span class="" style="white-space:pre"> </span>University of Tokyo</div><div><br></div><div>Conference Chairs<span class="" style="white-space:pre"> </span></div><div>* Hiroshi Motoda <span class="" style="white-space:pre"> </span>Osaka University and AFOSR/AOARD, Japan</div>
<div>* Bart Goethals<span class="" style="white-space:pre"> </span>University of Antwerp, Belgium</div><div>* Minyi Guo<span class="" style="white-space:pre"> </span>Shanghai Jiaotong University, China</div><div><br></div>
<div>Program Committee Chairs</div><div>* Longbing Cao<span class="" style="white-space:pre"> </span>University of Technology, Sydney, Australia</div><div>* George Karypis <span class="" style="white-space:pre"> </span>University of Minnesota, USA</div>
<div>* Irwin King<span class="" style="white-space:pre"> </span>Chinese University of Hong Kong</div><div>* Wei Wang<span class="" style="white-space:pre"> </span>Fudan University, China</div><div><br></div><div>Local Arrangement Chairs<span class="" style="white-space:pre"> </span></div>
<div>* Hongming Cai<span class="" style="white-space:pre"> </span>Shanghai Jiaotong University, China</div><div>* Wei Liu<span class="" style="white-space:pre"> </span>University of Technology, Sydney</div><div><br></div>
<div>Workshop Chairs </div><div>* Gang Li<span class="" style="white-space:pre"> </span>Deakin University, Australia </div><div>* Eric Gaussier<span class="" style="white-space:pre"> </span>Universit?Joseph Fourier, France</div>
<div><br></div><div>Tutorial Chairs </div><div>* Junbin Gao<span class="" style="white-space:pre"> </span>Charles Stuart University, Australia</div><div>* Sourav S Bhowmick<span class="" style="white-space:pre"> </span>Nanyang Technological University, Singapore</div>
<div><br></div><div>Panel Chairs </div><div>* Gabriella Pasi<span class="" style="white-space:pre"> </span>Universit?di Milano Bicocca, Italy</div><div>* Em-Ping Lim<span class="" style="white-space:pre"> </span>Singapore Management University, Singapore</div>
<div><br></div><div>Sponsorship Chairs<span class="" style="white-space:pre"> </span></div><div>* Guangtao Xue<span class="" style="white-space:pre"> </span>Shanghai Jiaotong University, China</div><div><br></div><div>Publicity Chairs</div>
<div>* Xiaohui Tao<span class="" style="white-space:pre"> </span>University of Southern Queensland, Australia</div><div>* Xin Wang<span class="" style="white-space:pre"> </span>University of Calgary, Canada</div><div>* Xiaodong Yue<span class="" style="white-space:pre"> </span>Shanghai University</div>
<div><br></div><div>Registration/Finance Chairs</div><div>* Qi Gu<span class="" style="white-space:pre"> </span>Shanghai Jiaotong University, China</div><div><br></div><div>Publication Chair </div><div>* Frank Jiang<span class="" style="white-space:pre"> </span>University of Technology, Sydney, Australia</div>
<div><br></div><div>Technical Sponsors</div><div>===================</div><div><br></div><div>* ACM SIGKDD </div><div>* IEEE Computational Intelligence Society </div><div>* Springer</div><div>* IEEE Task Force on Data Sciences and Advanced Analytics</div>
<div>* IEEE NSW Section</div><div>* ACM SIGKDD Australia and New Zealand Chapter</div><div><br></div><div>Conference organizers</div><div>======================</div><div><br></div><div>* University of Technology Sydney, Australia</div>
<div>* Shanghai Jiaotong University, China</div><div>* Stanford University, USA</div><div>* University of Joseph Fourier, France</div><div><br></div></div>