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Welcome to BDML 2020!

On behalf of the International Academy of Computing Technology (IACT) , we would like to welcome you to the 2020 3rd International Conference on Big Data and Machine Learning in Chengdu, China during November 13-15, 2020. It is mainly Co-Sponsored by Southwest Jiaotong University, China and International Academy of Computing Technology (IACT), and technically supported by some universities and associations. BDML2020 is the workshop of 2020 4th International Conference on Advances in Image Processing (ICAIP 2020). This unique international conference provides a forum for academics, researchers and practitioners from many industries to exchange ideas and share recent developments in the field of Big Data and Machine Learning. Here we have an opportunity to collaborate and advance the theory and practice of major trends in related fields. We will also have an excellent opportunity to network with the leading scholars and practitioners. 


Publication


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. All accepted and presented papers will be published in International Conference Proceedings Series, will be submitted and reviewed by Ei Compendex and Scopus.

 


◊ Call for Papers


BDML2020 seeks papers describing significant research contributions to the field of big data and machine learning. We invite submissions on a wide range of networking research, including, but not limited to:

 Big Data Analytics
 Data Science Models and Approaches
 Algorithms for Big Data
 Big Data Search and Information Retrieval Techniques
Data Mining and Knowledge Discovery Approaches
Machine Learning Techniques for Big Data
Big Data Acquisition, Integration,
Cleaning, and Best Practices
Big Data and Deep Learning
Scalable Computing Models, Theories, and Algorithms
In-Memory Systems and Platforms for Big Data Analytics
Big Data and High Performance Computing

 

Submission


Papers must be unpublished and must not be submitted for publication elsewhere. All papers will be reviewed by Program Committee members and other experts active in the field to ensure high quality and relevance to the conference. Submissions should include author information, abstract, 5-10 keywords, and be in PDF format. Each submission must be 5 pages at least. It is imperative to prepare the paper using the standard template.


Latest News


    To ensure quality of our publication, we now call for reviewers among professionals and experts of the world. E-mail us at bdml@iact.net to join us!
  • January 3, 2020:  BDML conference has the goal to provide a forum for academics, researchers and practitioners from many industries to exchange ideas and share recent developments in the field of Big Data and Machine Learning. And 3rd BDML conference is to be held in Chengdu, China during November 13-15, 2020. | 第三届大数据和机器学习国际会议将在2020年11月13-15 于四川· 成都召开。
     
  • November 12, 2019: 2nd BDML conference was held successfully during November 8-10, 2019. | 第二届大数据和机器学习国际会议(BDML2019)于2019年11月8-10日成功举办!
     
  • March 28, 2019:  Papers of BDML2018 are indexed by EI compendex and Scopus. | BDML2018的文章已经成功被EI CompendexScopus检索。
     

 


◊ Co-Sponsored by                                      
 

         

                                     
 

Technically Sponsored by

 
 

                               
                               

                        

 

                                                     
                                 

 

 

 




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Chengdu is endowed with rich natural resources and enjoys pleasant temperature all year round. Chengdu welcomes BDML2020!


Submission Timeline

  Submission   Deadline  October 9, 2020
 Acceptance   Notification  October 20, 2020
 Registration   Deadline  October 26, 2020
 Conference   Date:  Nov. 13-15, 2020

Useful Links

 Template  
 Listener Registration Form  
 Online Listener Registration  

◊ You should submit your completed Listener Registration Form to bdml@iact.net for registration status checking after online registration.

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