Data base for:

  • Conferences
  • Research funding opportunities
  • Competitions / Awards

Register for free and add any data by yourself!

Filter conferences

 
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
 
      
      
 
      
 
      
      
      
      
      
      
      
      
      
      

International Conference on Data Mining and Machine Learning (DMML 2020)

DMML 2020

Date of beginning

Saturday, 22 August 2020

Duration

2 days

Deadline for abstracts

Saturday, 11 July 2020

City

Chennai,india

Country

India

Contact

DMML 2020

E-Mail

This email address is being protected from spambots. You need JavaScript enabled to view it.

Expected participants

50

Memo

                                              August 22~23, 2020, Chennai, India https://www.cseij.org/dmml/index.html Scope & Topics International Conference on Data Mining and Mahine Learning (DMML 2020) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Mining and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Machine Learning. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Data Mining and Machine Learning. Topics of Interest Data mining foundations Parallel and Distributed Data Mining Algorithms Data Streams Mining Graph Mining Spatial Data Mining Text video Multimedia Data Mining Web Mining Pre-Processing Techniques Visualization Security and Information Hiding in Data Mining Data mining Applications Databases Bioinformatics Biometrics Image Analysis Financial Modeling Forecasting Classification Clustering Social Networks Educational Data Mining Knowledge Processing Data and Knowledge Representation Knowledge Discovery Framework and Process Including Pre- and Post-Processing Integration of Data Warehousing OLAP and Data Mining Integrating Constraints and Knowledge in the KDD Process Exploring Data Analysis Inference of Causes Prediction Evaluating Consolidating and Explaining Discovered Knowledge Statistical Techniques for Generation a Robust Consistent Data Model Interactive Data Exploration/Visualization and Discovery Languages and Interfaces for Data Mining Mining Trends, Opportunities and Risks Mining from Low-Quality Information Sources Machine learning Machine Learning Applications Learning in knowledge-intensive systems Learning Methods and analysis Learning Problems Deep Learning Paper Submission Authors are invited to submit papers through the Submission System by July 11, 2020.Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the on conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from DMML 2020, after further revisions, will be published in the special issues of the following journals. International Journal of Data Mining & Knowledge Management Process(IJDKP) International Journal of Database Management Systems(IJDMS) Machine Learning and Applications: An International Journal(MLAIJ) International Journal of Web & Semantic Technology (IJWesT) Important Dates Second Batch : ( Submissions after July 04, 2020 ) Submission Deadline : July 11, 2020 Authors Notification : August 10, 2020 Registration & Camera-Ready Paper Due: August 13, 2020 Contact Us: This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it.