This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. They have opened a call for papers for the 2020 conference. The details are below.
Details on Call for Papers
The Association for Computing Machinery‘s (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) announced that KDD 2020, the premier interdisciplinary conference in data science, has opened the call for papers in both its research and applied data science tracks. KDD 2020 welcomes submissions on all aspects of knowledge discovery and data mining, from theoretical research on emerging topics to papers describing the design and implementation of systems for practical tasks. Topics of interest include artificial intelligence, big data, data analytics, data science, data mining, deep learning, knowledge graphs, machine learning, relational databases and statistical methods.
KDD 2020 is a dual-track conference, offering distinct programming in research and applied data science. The research track highlights innovative contributions to research in big data, data science and foundations, spanning theoretical foundations to novel models and algorithms for data mining challenges in business, engineering, medicine, science and more. The applied data science track focuses on the application of data mining, machine learning and statistics in addressing real-world challenges and enterprise systems with a tangible impact on industries, government initiatives and social programs. Key dates for applications in both tracks include:
- Submission Deadline: February 13, 2020
- Notification of Selection: May 15, 2020
- KDD 2020 in San Diego: Aug. 22-27, 2020
About ACM SIGKDD
ACM is the premier global professional organization for researchers and professionals dedicated to the advancement of the science and practice of knowledge discovery and data mining. SIGKDD is ACM’s Special Interest Group on Knowledge Discovery and Data Mining. The annual KDD International Conference on Knowledge Discovery and Data Mining is the premier interdisciplinary conference for data mining, data science and analytics.