- Paper Review
All submissions to the ICDMML will be sent to at least 2 reviewers and evaluated based on originality, technical and research content, relevance to conference, contributions, and readability. The full paper submissions will be chosen based on technical merit, interest, applicability, and how well they fit a coherent and balanced technical program.
- Important Dates
- Registration Deadline:
From now till 29th November 2018 (Early Bird)
30th November 2018 to 28th February 2019 (Standard)
28th February 2019 to March 29th 2019 (Late Registration)
- Conference Date: April 29-30 2019
The accepted papers will be published by ACM International Conference Proceedings Series. The ISBN number assigned to ICDMML 2019 is 978-1-4503-6090-6.
Papers will submit the proceedings to Ei Compendex, Scopus for indexing.
Data Mining + Machine Learning 2019 Themes
Artificial intelligence is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals. In computer science AI research is defined as the study of "intelligent agents".
Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. It is an essential process where intelligent methods are applied to extract data patterns.
Machine learning is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.