2017年第二届大数据分析国际会议
来源: EI学术会议中心   发布时间: 2016-11-03 13:09   2711 次浏览   大小:  16px  14px  12px
2017年第二届大数据分析国际会议

Big Data overall architecture consists of three layers: data storage, data processing and data analysis. Data storage layer stores complex type and mass data, data processing layer realizes real-time processing of massive data, and only through data analysis layer, smart, in-depth and valuable information are got. When talking about big data, it comes to the first is 4V characteristics of big data, namely Volumes, Variety ,Velocity , Veracity. Big data processing key technology generally includes: data acquisition, data preprocessing, data storage and data management, data analysis and mining, big show and application (big data retrieval, data visualization, big data applications, data security, etc.).

In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself. The 2017 IEEE 2nd International Conference on Big Data Analysis(ICBDA 2017) provides a leading forum for disseminating the latest research in Big Data Research, Development, and Application. ICBDA1017 is co-organized by IEEE and Research Institute of Big Data Analytics, Xi'an Jiaotong-Liverpool University, China. Assisted by University of Texas at Dallas, USA. Prof. Steven Guan (Xi'an Jiaotong-Liverpool University, China) and Prof. Kang Zhang (University of Texas at Dallas, USA) take charge of the Conference Co-chair. 

“Big data”(大数据)时代已经来临 

我国已全面迈入4G时代,大数据、云计算等产业关键技术演进和应用创新加速发展,产业支持政策规划纷纷出台,数据开放共享机制不断推进,产业发展基础环境初步具备,产业生态体系逐步完善建立,大数据产业将进入理性发展、落地应用阶段,并有望在通信、互联网、金融、医疗等重点行业率先取得突破,将成为全球最重要的大数据市场。大数据带来了全新的变革与机遇,但我国大数据产业还处于发展初期,总体战略规划仍有待部署,行业标准化和规模化应用还未实现,核心技术和数据资源开放有待突破,行业协作和商业模式瓶颈尚待解决,数据安全与隐私保护形势严峻等诸多挑战。  

为了迎接大数据时代的到来,更好地交流大数据的实践经验,进一步推进大数据技术创新与应用,展示国内外大数据领域的最新科研成果。 2017年第二届大数据分析国际会议将于2017年3月10日-12日在中国北京召开。本届ICBDA 2017 由IEEE西交利物浦大学大数据分析研究所联合主办,University of Texas at Dallas, USA协办,由西交利物浦大学的关圣威教授,和University of Texas at Dallas 张康教授担任联合大会主席。 会议旨在促进大数据分析等领域的学术交流与合作,热忱欢迎从事相关技术研究的专家、学者和专业技术人员踊跃投稿并参加大会。

 

After a careful reviewing process, all accepted papers after proper registration and presentation, will be published in the ICBDA 2017 conference Proceedings, and reviewed by the IEEE Conference Publication Program for IEEE Xplore and Ei Compendex.

会议论文集将提交由IEEE出版并检索。 文章作者将被邀请参会做口头报告。

2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA 2017) is now technically sponsored by IEEE. 
Please visit IEEE Conferences and Events (# 40063) for detail. (Read More)

ICBDA2017 已经进入 IEEE 会议列表!(查看详情) 

ICBDA2016 has been included in the IEEE Xplore! | ICBDA2016 已进入IEEE Xplore 数据库 (Read More) 
Papers of ICBDA2016 are indexed by Ei Compendex and Scopus! | ICBDA2016论文集已被Ei核心检索和Scopus收录!(Read More)

 

 

Submission Deadline
投稿截止日期 
December 10, 2016
2016年12月10日
 
Notification Date
录用通知日期
January 10, 2017
2017年1月10日 
Registration Deadline
注册截止日期
January 30, 2017
2017年1月30日 
Conference Dates
会议日期
March 10-12,2017
2017年03月10-12日

 

 

 

Submission Methods 

1. Full Paper (Presentation and Publication)

Accepted full paper will be invited to give the oral presentation at the conference and be published in the conference proceedings.

2. Abstract (Presentation only)

Accepted abstract will be invited to give the oral presentation at the conference, the presentation will not be published.

Please log in the Electronic Submission System; ( .pdf only) to submit your full paper and abstract. 
For any inquiry about the conference, please feel free to contact us at: icbda2016@vip.163.com

 

 

Page Requirements 

Each paper should have no less than 4 pages normally, including all figures, tables, and references.

One regular registration is within FIVE Pages. Extra pages will be charged. 

 

 

Submission Requests

All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated. If an author is found to commit an act of plagiarism, the following acts of sanction will be taken:

1. Reject the article submitted or delete the article from the final publications. 
2. Report the authors violation to his/her supervisor(s) and affiliated institution(s). 
3. Report the authors violation to the appropriate overseeing office of academic ethics and research funding agency. 
4. Reserve the right to publish the authors name(s), the title of the article, the name(s) of the affiliated institution and the details of misconduct, etc. of the plagiarist”. 

 

 

Registration Fee

  EARLY BIRDS
BEFORE DEC. 20TH, 2016
REGULAR REGISTRATION
 AFTER DEC. 20TH, 2016
Authors 
(Students and Committees)
400USD/ 2600RMB 430USD/ 2800RMB
Authors 
(Regular)
450USD/ 2900RMB 480USD/ 3100RMB
Oral Presentation Only 300USD/ 1900RMB 320USD/ 2100RMB
Listener 250USD/ 1600RMB 270USD/ 1700RMB
Additional Paper 350USD/ 2300RMB 350USD/ 2300RMB
Additional Page 70 USD / 450 RMB / One Page 70 USD / 450 RMB / One Page
Extra Proceeding 80 USD/ 500RMB 80 USD/ 500RMB

 

 

 

Important Notice 

1. One regular registration is within FIVE Pages including all figures, tables, and references. Extra pages will be charged.

2. One regular registration with one or more additional papers get only one proceeding.

3. At least one author for each accepted final paper must pre-register.

4. Please send the required documents: a. final paper; b. signed copyright form; c. filled registration form; d. payment proof toicbda2016@vip.163.com to finish the registration.

5. Please note that the paid registration fee is nonrefundable if you can not participate in the conference.

 

 

CALL FOR PAPERS

Topics of interest for submission include, but are not limited to:

Big Data Models and Algorithms 

Foundational Models for Big Data
Algorithms and Programming Techniques for Big Data Processing
Big Data Analytics and Metrics
Representation Formats for Multimedia Big Data 

Big Data Architectures

Cloud Computing Techniques for Big Data
Big Data as a Service
Big Data Open Platforms
Big Data in Mobile and Pervasive Computing

Big Data Management

Big Data Persistence and Preservation
Big Data Quality and Provenance Control
Management Issues of Social Network Big Data

Big Data Protection, Integrity and Privacy

Models and Languages for Big Data Protection
Privacy Preserving Big Data Analytics
Big Data Encryption

Security Applications of Big Data

Anomaly Detection in Very Large Scale Systems
Collaborative Threat Detection using Big Data Analytics

Big Data Search and Mining 

Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Machine learning based on Big Data
Visualization Analytics for Big Data

Big Data for Enterprise, Government and Society

Big Data Economics
Real-life Case Studies of Value Creation through Big Data Analytics
Big Data for Business Model Innovation
Big Data Toolkits
Big Data in Business Performance Management
SME-centric Big Data Analytics
Big Data for Vertical Industries (including Government, Healthcare, and Environment)
Scientific Applications of Big Data
Large-scale Social Media and Recommendation Systems
Experiences with Big Data Project Deployments
Big Data in Enterprise Management Models and Practices
Big Data in Government Management Models and Practices
Big Data in Smart Planet Solutions
Big Data for Enterprise Transformation

 

 
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