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[Big Data 2013] CFP: Big data Workshop, Beijing, China, 2013

Apologize if you receive multiple copies from other sources.

Big Data Workshop 2013: The 1st International Workshop on Big Data

Location: Beijing, China, October 10 - 12, 2013

Co-Sponsored by:
IEEE Computer Society (Technically Co-sponsored),
IEEE Technical Committee on Simulation,
IEEE CS Task Force on Networked Mobile Systems,
Beijing Jiaotong University, China
University of Louisville, USA
Embedded Pervasive Computing Lab, HUST, China

Patrons: AT&T, EMC, InfoBeyond, Teradata, Comrise, Rainstor, and Huawei

CyberC Facebook
http://www.facebook.com/groups/nasirsyed.utp/

CyberC Weibo
http://weibo.com/u/2500282610

Important Dates
June 15, 2013 - Conference Paper Submission Deadline
July 15, 2013 - Notification of Acceptance/Rejection & Registration Starts
August 1, 2013 - Camera-Ready Paper Submission Due & Registration Due

Contact:
For more information about the conference, please visit www.CyberC.org  or =
contact us at Papers@CyberC.org.=20

Big Data recently has become a new ubiquitous term to describe large datase=
ts that are challenging to store, search, share, visualize, and analyze. Ef=
fective management and analysis of the Big Data would bring great benefits =
and unique opportunities to the users. However, the conventional methods ar=
e limited on providing desirable operational functions on Big Data. The Big=
 Data workshop 2013 (BigData=E2=80=9913) is to promote research works in th=
is emerging area of Big Data-inspired computing, networks, systems, and app=
lications. BigData=E2=80=9913, held in conjunction with CyberC 2013, aims t=
o provide a leading forum for exchanging and sharing experiences, new ideas=
, and research results on broad topics on Big Data Research, Development, a=
nd Applications. It solicits high quality papers that illustrate novel Big =
Data models, architecture and infrastructure, management, search and proces=
sing, security and privacy, applications, surveys and industrial experience=
s.=20
Authors of Big Data workshop 2013 are promoted to freely enjoy CyberC 2013 =
and Big Data Summits. Both of the events are co-sponsored and participated =
by a number of industry giants.
Authors are cordially invited to submit original research papers in any asp=
ects of Big Data with emphasis on but are not limited to the following topi=
cs:=20
Big Data Theory and Foundation
=E2=80=A2	Theoretical and Computational Models for Big Data
=E2=80=A2	Information Quantitative and Qualitative for Big Data
=E2=80=A2	Theories and Methodologies for Big Data Processing=20
=E2=80=A2	Architectures and Design of Big Data Processing Systems
Big Data Infrastructure
=E2=80=A2	Cloud/Grid/Stream Computing for Big Data
=E2=80=A2	High Performance/Parallel Computing Platforms for Big Data
=E2=80=A2	System Architectures, Platforms, Design, and Deployment for Big D=
ata
=E2=80=A2	Energy-efficient Computing for Big Data
=E2=80=A2	Programming Models and Environments for Cluster, Cloud, and Grid =
Computing
Big Data Management
=E2=80=A2	Advanced Database and Web Applications for Big Data
=E2=80=A2	Data Model and Structure for Big Data
=E2=80=A2	Data Preservation and Provenance
=E2=80=A2	Interfaces to Database Systems and Analytics Software
=E2=80=A2	Data and Information Integration and Fusion for Big Data
=E2=80=A2	Data Management for Mobile, Pervasive and Grid Computing
=E2=80=A2	Scientific and Social Data Management and Workflow Optimization
Big Data Search and Processing
=E2=80=A2	Big Data Search Architecture, Scalability, and Efficiency
=E2=80=A2	Algorithms and Architectures for Big Data Search, Mining and Proc=
essing
=E2=80=A2	Search and Store Big Data in Distributed, Grid and Cloud Systems
=E2=80=A2	Semantic-based Big Data Analytics and Processing
=E2=80=A2	Multi-Structured Big Data Fusion and Integration
=E2=80=A2	Ontology Representations and Processing in Big Data
=E2=80=A2	Machine Learning Methods for Big Data
Big Data Protection, Security and Privacy
=E2=80=A2	Threat and Intrusion Detection for High Speed Networks
=E2=80=A2	High Performance and Efficiency Data Cryptography
=E2=80=A2	Privacy Threats Analysis for Big Data Systems
=E2=80=A2	Visualizing Large Scale Security Data
=E2=80=A2	Security and Risk in Big Data Processing
=E2=80=A2	Trust, Reputation and Recommendation Systems for Big Data Systems
=E2=80=A2	Privacy Preservation for Distributed Big Data Computing System
Big Data Applications
=E2=80=A2	Big Data Applications and Software in Science, Engineering, Healt=
hcare, Finance, Business, Transportation, Telecommunications,
=E2=80=A2	Big Data Analytics in Small Business Enterprises, Public Sector a=
nd Government.
=E2=80=A2	Big Data Industry Standards
=E2=80=A2	Development and Deployment Experiences with Big Data Systems.

Technical Program Committee
=09
Shared with CyberC 2013

Submissions:
Authors are invited to submit original technical papers to http://edas.info=
/ by selecting =E2=80=9CBig Data 2013=E2=80=9D.=20
Electronic submission to papers@cyberc.org with title of Big Data 2013 Subm=
ission is also accepted.
Please DO NOT submit both ways.=20

Manuscript Guidelines:
All submitted manuscripts should be prepared as technical papers and may no=
t exceed 8 letter size (8.5 x 11) pages including figures, tables and refer=
ences using the IEEE format for conference proceedings (print area of 6-1/2=
 inches (16.51 cm) wide by 8-7/8 inches (22.51 cm) high, two-column format =
with columns 3-1/16 inches (7.85 cm) wide with a 3/8 inch (0.81 cm) space b=
etween them, single-spaced 10-point Times fully justified text). For more i=
nformation please see ftp://pubftp.computer.org/Press/Outgoing/proceedings/=
=2E The templates in word are:
=E2=80=A2	Instruct8.5x11x2.doc 254 KB 8/22/2008 12:00:00 AM
=E2=80=A2	Instruct8.5x11x2.pdf 276 KB 8/22/2008 12:00:00 AM
and that in Latex are:
=E2=80=A2	IEEE_CS_Latex8.5x11x2.zip 766 KB 11/11/2008 12:00:00 AM
=E2=80=A2	IEEE_CS_Latex8.5x11x3.zip 874 KB 8/19/2011 9:59:00 AM

Submissions not conforming to these guidelines may be returned without revi=
ew. The submitted manuscripts can be prepared in Word, or Latex using the I=
EEE templates, but authors should finally submit the manuscript in PDF form=
at and make sure that the file will print on a printer that uses letter siz=
e (8.5 x 11) paper. The official language of the meeting is English.


Paper Acceptance

Manuscripts should present the current research in the areas identified in =
the call for papers. All submitted manuscripts will be reviewed by experts =
in the fields and will be judged from the aspects of problem significance, =
contributions, originality, correctness, technical strength, quality of pre=
sentation, and relevance to the conference attendees. Papers will be accept=
ed with Regular Papers and Short Papers with maximal 8 pages and 4 pages in=
 the final version respectively.    =20
=20
Publications

All accepted and presented papers, including the workshops=E2=80=99 papers,=
 will be published by IEEE Computer Society's Conference Publishing Service=
s (CPS) and are included in the IEEE Xplore database. They will further arr=
anged for indexing through IEE INSPEC, EI (Compendex), and Thomson ISI. Aut=
hors of accepted papers, or at least one of them, should register and prese=
nt their work at the conference, otherwise their papers will be removed fro=
m the digital libraries of IEEE Xplore and EI after the conference..
---------------------------------------------------------------------------=
-
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First International Workshop on Advanced Techniques for Data Preprocessing December 4th 2013, Turin (Italy) http://di.unito.it/atdp2013 *** Call for papers *** The performance of Machine Learning algorithms can vary greatly depending o= n the amount of =93pre-processing=94 performed on the raw data. Selecting o= r extracting the right features, normalizing ranges, or simply rotating the= m with simple tricks like PCA can be critical. If we think about a real-wor= ld learning system as a pipeline of preprocessing and learning activities, = there is a continuum of possibilities ...

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Deadline Extension: 2013 Workshop on Middleware for HPC and Big Data Systems (MHPC'13)
we apologize if you receive multiple copies of this message =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D CALL FOR PAPERS 2013 Workshop on Middleware for HPC and Big Data Systems MHPC '13 as part of Euro-Par 2013, Aachen, Germany =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D Date: August 27, 2012 Workshop URL: http://m-hpc.org Springer LNCS SUBMISSION DEADLINE: June 10, 2013 - LNCS Full paper submission (extended) June 28, 2013 - Lightning Talk abstracts SCOPE Extremely large, diverse, and complex data sets are generated from scientific applications, the Internet, social media and other applications. Data may be physically distributed and shared by an ever larger community. Collecting, aggregating, storing and analyzing large data volumes presents major challenges. Processing such amounts of data efficiently has been an issue to scientific discovery and technological advancement. In addition, making the data accessible, understandable and interoperable includes unsolved problems. Novel middleware architectures, algorithms, and application development frameworks are required. In this workshop we ar...

Deadline Extension: 2013 Workshop on Middleware for HPC and Big Data Systems (MHPC'13)
we apologize if you receive multiple copies of this message =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D CALL FOR PAPERS 2013 Workshop on Middleware for HPC and Big Data Systems MHPC '13 as part of Euro-Par 2013, Aachen, Germany =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D Date: August 27, 2012 Workshop URL: http://m-hpc.org Springer LNCS SUBMISSION DEADLINE: June 10, 2013 - LNCS Full paper submission (extended) June 28, 2013 - Lightning Talk abstracts SCOPE Extremely large, diverse, and complex data sets are generated from scientific applications, the Internet, social media and other applications. Data may be physically distributed and shared by an ever larger community. Collecting, aggregating, storing and analyzing large data volumes presents major challenges. Processing such amounts of data efficiently has been an issue to scientific discovery and technological advancement. In addition, making the data accessible, understandable and interoperable includes unsolved problems. Novel middleware architectures, algorithms, and application development frameworks are required. In this workshop we ar...

Deadline Extension: 2013 Workshop on Middleware for HPC and Big Data Systems (MHPC'13)
we apologize if you receive multiple copies of this message =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D CALL FOR PAPERS 2013 Workshop on Middleware for HPC and Big Data Systems MHPC '13 as part of Euro-Par 2013, Aachen, Germany =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3...

Final Call for Workshops
Call for Workshops: The 3rd IEEE International Conference on Big Data Science and Engineering (BDSE2014), 24-26 September 2014, Tsinghua University, Beijing, China. Website: http://www.swinflow.org/confs/bdse2014/workshop.htm Important dates: Workshop proposal Deadline: May 5, 2014 Workshop Notification: May 10, 2014 Workshop Proposal Submissions: Email to workshop chairs listed below Khaled Mohammed Khan, Qatar University, Qatar, email: k.khan@qu.edu.qa Wanchun Dou, Nanjing University, China, email: douwc@nju.edu.cn Simon Fong, University of Macau, China, email: ...

Data, data, data,
I have been tasked to dump around 400GB of data in physical files into a flat files and the transfer them from an iSeries 810 V5r3 to a windows server. I was going to CPYTOIMPF to a stram file and then copy over to the Windows server from the IFS. Anyone have a better idea or any suggestions? Thanks, Thad Rizzi Hi Thad If you have loads of free disk space on your 810 then your method is fine but if not you may consider Simply FTPing or iSeroes Access file transfering the files directly from the iSeries files to Windows Text file. You can get the either FTP or iSeries Access to carry out...

Special Issue Call for Papers: "MapReduce and Big Data Infrastructure", in in International Journal of Big Data Intelligence.
Call for papers: Special Issue on "MapReduce and Big Data Infrastructure", in International Journal of Big Data Intelligence. Description This special issue solicits papers from an open call and extended papers partly selected from the following conference(s): CloudCom-Asia 2013: International Conference on Cloud Computing and Big Data http://www.cloudbd2013.com MR.BDI 2013: International Symposium on MapReduce and Big Data Infrastructure http://www.swinflow.org/confs/mrbdi2013/ Subject Coverage Topics include, but are not limited to, the following: *The 5Vs of the data landscape: volume, variety, velocity, veracity, value *Big data science and foundations, analytics, visualisation and semantics *Software and tools for big data management *Security, privacy and legal issues specific to big data *Big data economy, QoS and business models *Intelligence and scientific discovery *Software, hardware and algorithm co-design, high-performance computing *Large-scale recommendation systems and graph analysis *Algorithmic, experimental, prototyping and implementation *Data-driven innovation, computational modelling and data integration *Data intensive computing theorems and technologies *Modelling, simulation and performance evaluation *Hardware and infrastructure, green data centres/environmental-friendly perspectives *Computing, scheduling and resource management for sustainability *Complex applications in areas where massiv...

CFP: Ubiquitous Data Mining (UDM)
** Apologies for cross-posting ** Ubiquitous Data Mining (UDM) Workshop Beijing, China, August 3 - 9, 2013 http://www.liaad.up.pt/udm/ in conjunction with IJCAI 2013 23rd. International Joint Conference on Artificial Intelligence Beijing, China, August 3 - 9, 2013 http://www.liaad.up.pt/udm/ =3D=3D Call for Papers =3D=3D Ubiquitous Data Mining (UDM) uses Data Mining techniques to extract useful knowledge from data, namely when its characteristics reflect a World in Movement. The goal of this workshop is to convene researchers (from both academia and industry) who ...

CFP -- ASBD @ ISCA: 4th Workshop on Architecture for Big Data
---------------------------------------------------------------------------                           Call for Papers --------------------------------------------------------------------------- Fourth Workshop on Architectures and Systems for Big Data (ASBD 2014)                 http://acs.ict.ac.cn/asbd2014/                June 14, 2014, Minneapolis, MN, USA Held in conjunction with The 41st International Symposium on Computer Architect...

CFP: Ubiquitous Data Mining (UDM)
Ubiquitous Data Mining (UDM) Workshop Beijing, China, August 3 - 9, 2013 http://www.liaad.up.pt/udm/ in conjunction with IJCAI 2013 23rd. International Joint Conference on Artificial Intelligence Beijing, China, August 3 - 9, 2013 http://www.liaad.up.pt/udm/ =3D=3D Call for Papers =3D=3D Ubiquitous Data Mining (UDM) uses Data Mining techniques to extract useful knowledge from data, namely when its characteristics reflect a World in Movement. The goal of this workshop is to convene researchers (from both academia and industry) who deal with techniques such as: decision rules, decision trees, association rules, clustering, filtering, learning classifier systems, neural networks, support vector machines, preprocessing, postprocessing, feature selection, visualization techniques, etc. for UDM of distributed and heterogeneous sources in the form of a continuous stream with mobile and/or embedded devices and related themes. Authors are invited to submit original papers in all topics related to Ubiquitous Data Mining. Selected papers will have to be presented during the workshop. The workshop will include extra time for audience discussion of the presentation allowing the group to have a better understanding of the issues, challenges, and ideas being presented. Authors of best workshop papers will be invited to submit extended versions= of their work to Intelligent Data Analysis Journal. -- Important Dates -- Paper submission: 20 ...

2nd CFP: Ubiquitous Data Mining (UDM)
** Apologies for cross-posting ** Ubiquitous Data Mining (UDM) Workshop Beijing, China, August 3 - 9, 2013 http://www.liaad.up.pt/udm/ in conjunction with IJCAI 2013 23rd. International Joint Conference on Artificial Intelligence Beijing, China, August 3 - 9, 2013 http://ijcai13.org/ =3D=3D Call for Papers =3D=3D Ubiquitous Data Mining (UDM) uses Data Mining techniques to extract useful knowledge from data, namely when its characteristics reflect a World in Movement. The goal of this workshop is to convene researchers (from both academia and industry) who deal with techniques such as: decision rules, decision trees, association rules, clustering, filtering, learning classifier systems, neural networks, support vector machines, preprocessing, postprocessing, feature selection, visualization techniques, etc. for UDM of distributed and heterogeneous sources in the form of a continuous stream with mobile and/or embedded devices and related themes. Authors are invited to submit original papers in all topics related to Ubiquitous Data Mining. Selected papers will have to be presented during the workshop. The workshop will include extra time for audience discussion of the presentation allowing the group to have a better understanding of the issues, challenges, and ideas being presented. Authors of best workshop papers will be invited to submit extended versions= of their work to Intelligent Data Analysis Journal. -- Important Da...

[CFP] AAAI-14 Workshop on Sequential Decision-Making with Big Data
The AAAI-14 Workshop on Sequential Decision-Making with Big Data held at the AAAI Conference on Artificial Intelligence (AAAI-14), Quebec City, Canada (Workshop URL: https://sites.google.com/site/decisionmakingbigdata) In the 21st century, we live in a world where data is abundant. We would like to use this data to make better decisions in many areas of life, such as industry, health care, business, and government. This opportunity has encouraged many machine learning and data mining researchers to develop tools to benefit from big data. However, the methods developed so far have...

Last CFP: Ubiquitous Data Mining (UDM)
** Apologies for cross-posting ** Ubiquitous Data Mining (UDM) Workshop Beijing, China, August 3 - 9, 2013 http://www.liaad.up.pt/udm/ in conjunction with IJCAI 2013 23rd. International Joint Conference on Artificial Intelligence Beijing, China, August 3 - 9, 2013 http://ijcai13.org/ =3D=3D Call for Papers =3D=3D Ubiquitous Data Mining (UDM) uses Data Mining techniques to extract useful knowledge from data, namely when its characteristics reflect a World in Movement. The goal of this workshop is to convene researchers (from both academia and industry) who deal with techniques such as: decision rules, decision trees, association rules, clustering, filtering, learning classifier systems, neural networks, support vector machines, preprocessing, postprocessing, feature selection, visualization techniques, etc. for UDM of distributed and heterogeneous sources in the form of a continuous stream with mobile and/or embedded devices and related themes. Authors are invited to submit original papers in all topics related to Ubiquitous Data Mining. Selected papers will have to be presented during the workshop. The workshop will include extra time for audience discussion of the presentation allowing the group to have a better understanding of the issues, challenges, and ideas being presented. Authors of best workshop papers will be invited to submit extended versions of their work to Intelligent Data Analysis Journal. -- Important Da...

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